Distributed photovoltaic group scheduling strategy generation method, group scheduling method, device and equipment

Abstract

The invention discloses a distributed photovoltaic group scheduling strategy generation method, a distributed photovoltaic group scheduling method, a distributed photovoltaic group scheduling device and distributed photovoltaic group scheduling equipment, and the method comprises the steps: carrying out the generation power prediction of distributed photovoltaic in a low-voltage transformer area, and obtaining the predicted generation power of each distributed photovoltaic at a prediction point; obtaining target regulation and control power corresponding to the prediction point; determining a distributed photovoltaic group scheduling strategy corresponding to the prediction point according to the predicted power generation power of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point and a distributed photovoltaic group scheduling business rule; the distributed photovoltaic group scheduling strategy can comprise distributed photovoltaic regulation and control and distributed photovoltaic power output proportion regulation and control. According to the scheme disclosed by the invention, the calculation complexity and the calculation amount of group scheduling strategy generation can be reduced, the calculation efficiency can be improved, the method is easy to apply on the edge side, and the distributed photovoltaic group scheduling business rule is fused in the group scheduling strategy generation process, so that distributed group scheduling and group control can well meet business requirements.

Description

Technical Field

[0001] The present application relates to the technical field of distributed photovoltaic group modulation and control, and in particular to a distributed photovoltaic group modulation strategy generation method, a distributed photovoltaic group modulation method, a device and equipment. Background Art

[0002] With the rapid development of distributed photovoltaics, the access of a large number of distributed photovoltaics in low-voltage areas will lead to problems such as power backflow from the distribution network to transformer overload and user overvoltage, resulting in the inability of distributed photovoltaics to be connected to the grid in some areas.

[0003] The most critical component of distributed PV group dispatching and control is the generation of a dispatching strategy. Currently, this strategy generation is primarily achieved through planning or AI-based optimization. Both approaches require consideration of multiple factors, including grid topology, power flow distribution, and voltage stability. This is computationally challenging, and the complex and often error-prone topology of substations results in low dispatching strategy accuracy and limited applicability. Furthermore, both approaches are computationally intensive and resource-intensive, making them impractical for edge-side application. Furthermore, neither approach effectively handles business rules, making distributed PV group dispatching and control inadequate for meeting business needs.

[0004] In summary, how to reduce the computational difficulty and amount of distributed photovoltaic group dispatching strategies and make distributed group dispatching and control meet business needs well is a technical problem that currently needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] In view of this, the purpose of this application is to provide a distributed photovoltaic group regulation strategy generation method, a distributed photovoltaic group regulation method, an apparatus and equipment, which are used to reduce the computational difficulty and amount of the distributed photovoltaic group regulation strategy, and enable the distributed group regulation and group control to meet business needs well.

[0006] In order to achieve the above objectives, this application provides the following technical solutions:

[0007] A method for generating a distributed photovoltaic group regulation strategy comprises: predicting the power generation of distributed photovoltaics in a low-voltage substation to obtain the predicted power generation of each distributed photovoltaic at a prediction point; obtaining the target regulation power corresponding to the prediction point; determining the distributed photovoltaic group regulation strategy corresponding to the prediction point based on the predicted power generation of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point, and distributed photovoltaic group regulation business rules; the distributed photovoltaic group regulation strategy includes regulating the distributed photovoltaics and the power output ratio of the regulated distributed photovoltaics.

[0008] A distributed photovoltaic group modulation method comprises: obtaining a distributed photovoltaic group modulation strategy corresponding to a prediction point; generating the distributed photovoltaic group modulation strategy corresponding to the prediction point using any of the above-mentioned distributed photovoltaic group modulation strategy generation methods; and regulating the corresponding regulated distributed photovoltaic according to the distributed photovoltaic group modulation strategy corresponding to the prediction point.

[0009] A distributed photovoltaic group regulation strategy generation device includes: a power prediction module, which is used to predict the power generation of distributed photovoltaics in a low-voltage area and obtain the predicted power generation power of each distributed photovoltaic at the prediction point; a first acquisition module, which is used to obtain the target regulation power corresponding to the prediction point; a first determination module, which is used to determine the distributed photovoltaic group regulation strategy corresponding to the prediction point according to the predicted power generation power of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point and the distributed photovoltaic group regulation business rules; the distributed photovoltaic group regulation strategy includes regulating the distributed photovoltaics and the power output ratio of the regulated distributed photovoltaics.

[0010] A distributed photovoltaic group modulation device comprises: a second acquisition module for acquiring a distributed photovoltaic group modulation strategy corresponding to a prediction point; the distributed photovoltaic group modulation strategy corresponding to the prediction point is generated using a distributed photovoltaic group modulation strategy generation method as described in any of the above items; and a control module for regulating the corresponding regulated distributed photovoltaic according to the distributed photovoltaic group modulation strategy corresponding to the prediction point.

[0011] An electronic device comprises: a memory for storing a computer program; and a processor for implementing the steps of the distributed photovoltaic group modulation strategy generation method as described in any one of the above items and / or the steps of the distributed photovoltaic group modulation method as described in the above item when executing the computer program.

[0012] The present application provides a distributed photovoltaic group regulation strategy generation method, a distributed photovoltaic group regulation method, an apparatus and equipment, wherein the method includes: predicting the power generation of distributed photovoltaics in a low-voltage area to obtain the predicted power generation of each distributed photovoltaic at the prediction point; obtaining the target regulation power corresponding to the prediction point; determining the distributed photovoltaic group regulation strategy corresponding to the prediction point according to the predicted power generation of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point and the distributed photovoltaic group regulation business rules; the distributed photovoltaic group regulation strategy may include regulating the distributed photovoltaics and regulating the power output ratio of the distributed photovoltaics.

[0013] The technical solution disclosed in this application predicts the power generation of distributed photovoltaic systems in low-voltage substations. Based on the predicted power generation of each distributed photovoltaic system at the prediction point, the target control power at the prediction point, and the distributed photovoltaic group control business rules, the corresponding distributed photovoltaic group control strategy at the prediction point is determined. Subsequently, the distributed photovoltaic system in the low-voltage substation is group-controlled based on the generated distributed photovoltaic group control strategy, effectively alleviating the foldback and overvoltage problems caused by the large-scale access of distributed photovoltaic systems. The group control strategy generation process does not need to consider multiple conditions such as the grid topology, power flow calculation, and voltage stability, thereby reducing computational difficulty and improving the accuracy and adaptability of the group control strategy. Furthermore, the process only requires the generation power of distributed photovoltaic systems to determine the distributed photovoltaic group control strategy, without the need for solving the problem using methods such as genetic algorithms and particle swarm optimization, nor does it require real-time training. Therefore, the computational complexity, amount of computation, and computing resource requirements of the group control strategy generation can be reduced, improving computational efficiency and facilitating application on the edge. Furthermore, the distributed photovoltaic group control business rules are integrated into the group control strategy generation process, so that the generated group control strategy can meet the corresponding business rules and business needs.

[0014] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flow chart of a distributed photovoltaic group adjustment strategy generation method provided in an embodiment of the present application;

[0016] Figure 2 A flowchart for determining a first control set and a first output ratio set provided in an embodiment of the present application;

[0017] Figure 3 A flow chart of a distributed photovoltaic group modulation method provided in an embodiment of the present application;

[0018] Figure 4 A schematic diagram of the structure of a distributed photovoltaic group regulation strategy generation device provided in an embodiment of the present application;

[0019] Figure 5 A schematic structural diagram of a distributed photovoltaic group modulation device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] With the rapid development of distributed photovoltaics, the integration of large numbers of distributed photovoltaics in low-voltage areas has led to problems such as reverse power transmission, transformer overload, and user overvoltage. This has resulted in some areas being unable to connect distributed photovoltaics to the grid. Furthermore, the grid connection and absorption of newly installed distributed photovoltaic projects are facing challenges. Furthermore, analysis of distributed photovoltaic grid connection capacity data released by various regions shows that many provinces and regions are experiencing difficulties in connecting distributed photovoltaics to the grid.

[0021] The most critical part of distributed photovoltaic group dispatching and control is the generation of distributed photovoltaic group dispatching strategies. Currently, the generation of group dispatching strategies is mainly based on planning (specifically dynamic planning) methods or artificial intelligence-based optimization methods.

[0022] Among them, the dynamic programming-based method takes into account multiple conditions such as the grid topology, power flow distribution, and voltage stability, and constructs a distributed photovoltaic group control system by constructing objective functions and constraints. For distributed photovoltaic group control in low-voltage substations, the substation topology is complex and contains errors, making power flow calculation impossible, so this method is not very applicable. In addition, the planning model has low solution efficiency, especially for integer programming and mixed integer programming. Genetic algorithms, particle swarm optimization, and other methods are generally used for solution, but they have problems such as inability to solve in a short time and slow solution speed, and are even less suitable for solution calculations on the edge side.

[0023] Artificial intelligence-based optimization methods (also known as reinforcement learning-based methods) analyze environmental information and extract features to abstractly perceive environmental changes and construct reinforcement learning models to achieve targeted control and optimization of distributed photovoltaic systems. This method is relatively complex in model construction. Similar to dynamic programming, it requires consideration of environmental information such as topology, power flow calculations, voltage stability, and reactive power optimization. Quantifying this environmental information is difficult, resulting in poor applicability and, therefore, is rarely used. Furthermore, the model requires real-time training, which places high demands on computing resources and precludes its application at the edge.

[0024] Furthermore, neither dynamic programming nor reinforcement learning-based distributed group control methods can effectively handle business rules. For example, in distributed photovoltaic group control applications, different types and capacities of users (distributed photovoltaic) have different control priorities, while also considering the consistency of the probability of power generation from the same type of users being connected to the grid. Control users are selected based on the control method, with rigid control first followed by flexible control. Control users are selected based on user attributes, with natural persons first followed by natural persons. Control domain users are selected based on installed capacity, with large capacities first followed by small capacities. Users implementing rigid control participate in control in rotation, with priority given to users who have not recently participated. Users implementing flexible control are selected based on the specific situation. These two methods fail to take business rules into account and, therefore, cannot effectively meet the corresponding business needs.

[0025] To this end, the present application provides a distributed photovoltaic group regulation strategy generation method, a distributed photovoltaic group regulation method, an apparatus and equipment for reducing the computational difficulty and amount of the distributed photovoltaic group regulation strategy, and enabling the distributed group regulation and group control to meet business needs well.

[0026] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0027] See also Figure 1 , which shows a flow chart of a distributed photovoltaic group adjustment strategy generation method provided by an embodiment of the present application. The distributed photovoltaic group adjustment strategy generation method provided by an embodiment of the present application may include:

[0028] S11: Predicting the power generation of distributed photovoltaics in the low-voltage area to obtain the predicted power generation of each distributed photovoltaic at the prediction point.

[0029] The embodiments of this application strictly implement the low-voltage distributed photovoltaic group regulation and control technology implementation plan and the low-voltage distributed photovoltaic metering and collection typical design plan requirements issued by State Grid Corporation of China, and propose a distributed photovoltaic group regulation strategy generation method for low-voltage substations to effectively solve the distributed photovoltaic group regulation and control problems, and improve the distributed photovoltaic absorption capacity, balance regulation and safe carrying capacity of the power grid.

[0030] Among them, the execution subject of the distributed photovoltaic group adjustment strategy generation method provided in the embodiment of the present application can specifically be an intelligent device such as a fusion terminal in a low-voltage area. Of course, it can also be other devices with computing capabilities. The embodiment of the present application takes the execution subject as an intelligent device in a low-voltage area as an example for explanation.

[0031] First, the power generation of distributed photovoltaics in the low-voltage area can be predicted to obtain the predicted power generation of each distributed photovoltaic at the prediction point. The low-voltage area here can be one or more. The number of prediction points (i.e., prediction time points) can be one (for example, the prediction point in the next 15 minutes) or multiple (for example, each prediction point in the 15-minute level prediction for the next 4 hours). That is, starting from the current time, the power generation of each distributed photovoltaic in the low-voltage area at a prediction point can be predicted, so as to facilitate the determination of the distributed photovoltaic group adjustment strategy at the prediction point, or the power generation of each distributed photovoltaic in the low-voltage area at multiple prediction points can be predicted starting from the current time, so as to facilitate the determination of the distributed photovoltaic group adjustment strategy at multiple prediction points. Assuming that there are m distributed photovoltaics under the area, the ultra-short-term prediction of the power generation of each distributed photovoltaic is realized. The predicted power set for time t+1 is P = (p1, p2,…, p m ).

[0032] It should be noted that distributed photovoltaic power generation prediction is an existing technology and will not be discussed in detail here. For example, distributed photovoltaic power generation prediction can be performed using a machine learning-based regression model; alternatively, a spatial prediction model can be constructed using neighboring distributed photovoltaic points, and distributed photovoltaic power generation prediction can be performed by fusing temporal and spatial models; alternatively, distributed photovoltaic power generation prediction can be performed using a cross-attention network, etc.

[0033] S12: Obtain the target control power corresponding to the prediction point.

[0034] Furthermore, the smart device in the low-voltage area can also obtain the target control power corresponding to the prediction point. The target control power corresponding to each prediction point may be the same or different, and this embodiment of the application does not limit this.

[0035] The target control power corresponding to the prediction point refers to the amount of distributed photovoltaic power generation that needs to be reduced in the low-voltage substation (that is, how much power generation needs to be reduced to be connected to the grid), that is, how much return power needs to be reduced. This data can be determined by the grid side based on the maximum power that the transformer can bear and sent to the smart device in the low-voltage substation, or the data can be input by relevant staff into the smart device in the low-voltage substation, etc. The embodiment of the present application does not limit the method of obtaining the target control power corresponding to the prediction point.

[0036] It should be noted that the embodiment of the present application does not limit the execution order of step S11 and step S12. Step S11 can be executed first and then step S12, or step S12 can be executed first and then step S11, or step S11 and step S12 can be executed at the same time.

[0037] S13: Determine the distributed photovoltaic group adjustment strategy corresponding to the prediction point based on the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point, and the distributed photovoltaic group adjustment business rules; the distributed photovoltaic group adjustment strategy includes adjusting the distributed photovoltaic and adjusting the power output ratio of the distributed photovoltaic.

[0038] In addition, the smart devices in the low-voltage area can also obtain the distributed photovoltaic group dispatching business rules, which can be specifically entered into the smart devices in the low-voltage area by relevant staff. Of course, the smart devices in the low-voltage area can also obtain them through other means, so as to integrate the distributed photovoltaic group dispatching business rules into the distributed photovoltaic group dispatching strategy generation, thereby facilitating the improvement of the reliability of the distributed photovoltaic group dispatching and group control, and enabling the distributed photovoltaic group dispatching and group control to meet the corresponding business needs. Among them, the distributed photovoltaic group dispatching business rules can specifically refer to the priority and sequence of the distributed photovoltaic group dispatching in the low-voltage area.

[0039] After obtaining the predicted power generation of each distributed photovoltaic at the prediction point, obtaining the target control power at the prediction point, and the distributed photovoltaic group control business rules, the distributed photovoltaic group control strategy corresponding to the prediction point can be determined based on the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point, and the distributed photovoltaic group control business rules, so that the corresponding controlled distributed photovoltaic can be controlled according to the distributed photovoltaic group control strategy corresponding to the prediction point. If the smart device in the low-voltage area has both computing and control capabilities, the smart device in the low-voltage area can control the corresponding controlled distributed photovoltaic at the prediction point after determining the distributed photovoltaic group control strategy corresponding to the prediction point. If the smart device in the low-voltage area has computing capabilities but not control capabilities, the smart device in the low-voltage area can send the distributed photovoltaic group control strategy corresponding to the prediction point to the control device in the low-voltage area (the control device is communicatively connected to the smart device and the distributed photovoltaic in the low-voltage area), and the control device in the low-voltage area controls the corresponding controlled distributed photovoltaic at the prediction point according to the distributed photovoltaic group control strategy at the prediction point.

[0040] Among them, the distributed photovoltaic group adjustment strategy includes regulating distributed photovoltaics and regulating the power output ratio of distributed photovoltaics. The regulating power output ratio of distributed photovoltaics refers to the proportion of the generated power of distributed photovoltaics returned to the grid. It should be noted that by default, all distributed photovoltaics in the low-voltage area are in the online state (or grid-connected state), that is, the power output ratio of each distributed photovoltaic in the low-voltage area is 1 by default. The regulated distributed photovoltaics included in the distributed photovoltaic group adjustment strategy corresponding to the prediction point refers to which distributed photovoltaics in the low-voltage area at the prediction point will participate in the regulation. The power output ratio of these regulated distributed photovoltaics is not 1, that is, the generated power of these regulated distributed photovoltaics is not all returned to the grid to meet the target regulation power corresponding to the prediction point, thereby effectively solving the problems of distribution network return and overvoltage caused by the access of distributed photovoltaics, effectively improving the level of new energy consumption and utilization, and ensuring the safe grid connection of distributed power sources and the stable and safe operation of the distribution network.

[0041] The above method can be used to determine the distributed photovoltaic group adjustment strategy corresponding to each prediction point within the control period, so that the corresponding distributed photovoltaic can be adjusted at the corresponding time point according to the distributed photovoltaic group adjustment strategy at each prediction point within the control period, thereby effectively alleviating the feedback and overvoltage problems caused by the large-scale access of distributed photovoltaics. Among them, the aforementioned control period refers to the period when distributed photovoltaics in the low-voltage area need to be adjusted. For example, if distributed photovoltaics need to be adjusted from 7:00 to 15:00 in a day, then this period is the control period.

[0042] From the above, it can be seen that compared with the current dynamic programming-based method and the optimization method based on artificial intelligence, which need to consider the topological structure, flow distribution, voltage stability, etc. of the power grid, the method based on dynamic programming also needs to adopt genetic algorithms, particle swarm optimization and other methods to solve, and the optimization method based on artificial intelligence also needs to build a reinforcement learning model and conduct a real-time training process. The embodiment of the present application only needs to predict the power generation of each distributed photovoltaic in the low-voltage area at the prediction point, and obtain the corresponding distributed photovoltaic group adjustment strategy at the prediction point according to the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point and the distributed group adjustment business rules. Therefore, the distributed photovoltaic group adjustment strategy generation method provided by the embodiment of the present application can solve the problems of the existing methods such as difficulty in solving, poor applicability, high requirements for computing power, and inability to process business rules. Since the embodiment of the present application has low requirements for computing power, it is easy to apply on the edge side. For low-voltage areas, it can be deployed and applied on smart devices such as fusion terminals in the area. Moreover, the embodiments of the present application can incorporate more business rules and business requirements when generating distributed photovoltaic group dispatching strategies, and are easy to implement, so that distributed photovoltaic group dispatching and group control can better meet Internet access needs, ensure the safe grid connection of distributed photovoltaics, and the stable and safe operation of the distribution network.

[0043] The technical solution disclosed in the embodiments of this application predicts the power generation of distributed photovoltaics in a low-voltage substation. Based on the predicted power generation of each distributed photovoltaic at the prediction point, the corresponding target control power at the prediction point, and the distributed photovoltaic group dispatching business rules, the distributed photovoltaic group dispatching strategy corresponding to the prediction point is determined. Subsequently, the distributed photovoltaics in the low-voltage substation are dispatched and controlled based on the generated distributed photovoltaic group dispatching strategy, effectively alleviating the foldback and overvoltage problems caused by the large-scale access of distributed photovoltaics. The group dispatching strategy generation process does not need to consider multiple conditions such as the grid topology, power flow calculation, and voltage stability, thereby reducing computational difficulty and improving the accuracy and adaptability of the group dispatching strategy. Furthermore, the process only requires the prediction of the power generation of the distributed photovoltaics to determine the distributed photovoltaic group dispatching strategy based on this prediction, without the need for solving the problem using methods such as genetic algorithms and particle swarm optimization, nor does it require real-time training. Therefore, the computational complexity, amount of computation, and computing resource requirements of the group dispatching strategy generation can be reduced, computational efficiency can be improved, and it is easy to apply on the edge side. Furthermore, the distributed photovoltaic group dispatching business rules are integrated into the group dispatching strategy generation process, so that the generated group dispatching strategy can meet the corresponding business rules and business needs.

[0044] The present invention provides a method for generating a distributed photovoltaic group regulation strategy, which determines the distributed photovoltaic group regulation strategy corresponding to the prediction point based on the predicted power generation of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point, and the distributed photovoltaic group regulation business rules. The method may include:

[0045] Determine, based on the predicted generated power of each distributed photovoltaic at the first prediction point, the target control power corresponding to the first prediction point, and the distributed photovoltaic group control business rules, a first control set and a first output ratio set corresponding to the first prediction point; the first control set may include the control of distributed photovoltaics, and the first output ratio set may include the power output ratio corresponding to the control of distributed photovoltaics;

[0046] The first control set and the first output ratio set corresponding to the first prediction point are determined as the distributed photovoltaic group adjustment strategy corresponding to the first prediction point, and the distributed photovoltaic group adjustment strategies at the remaining prediction points are determined according to the first control set corresponding to the first prediction point.

[0047] In the embodiment of the present application, based on the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point, and the distributed photovoltaic group adjustment business rules, the specific process of determining the distributed photovoltaic group adjustment strategy corresponding to the prediction point can be:

[0048] Step 201: Obtain the predicted power generation of each distributed photovoltaic unit in the low-voltage area at a first prediction point, and obtain the target control power y corresponding to the first prediction point. The first prediction point mentioned here may specifically refer to the first prediction point in the control period. Then, based on the predicted power generation of each distributed photovoltaic unit in the low-voltage area at the first prediction point, the target control power corresponding to the first prediction point, and the distributed photovoltaic group control business rules, determine the first control set U and the first output ratio set W corresponding to the first prediction point. The first control set U includes the controlled distributed photovoltaic units (i.e., the distributed photovoltaic units participating in the control at the first prediction point), and the first output ratio set W includes the power output ratios corresponding to each controlled distributed photovoltaic unit included in the first control set U. The first control set U and the first output ratio set W can be represented as two sets. The power output ratios included in the first output ratio set W are sorted in the same manner as the sorted distributed photovoltaic units in the first control set U, so that the controlled distributed photovoltaic units and the corresponding power output ratios correspond one-to-one. Alternatively, the first control set U and the first output ratio set W can be represented as a control ratio set, where each element in the set can be two-dimensional data: the control of the distributed photovoltaic system and the corresponding power output ratio of the control of the distributed photovoltaic system. Alternatively, the first control set U and the first output ratio set W can be represented as a correspondence table or a correspondence graph, where the horizontal axis can represent the control of the distributed photovoltaic system and the vertical axis can represent the power output ratio. Of course, the first control set U and the first output ratio set W can also be represented in other forms, which are not limited in this embodiment of the present application.

[0049] It should be noted that, before the above steps, the first set U and the first output ratio set W may be initialized so that the first control set U and the first output ratio set W are empty.

[0050] Step 202: After determining the first control set U and the first output ratio set W corresponding to the first prediction point, the first control set U and the first output ratio set W corresponding to the first prediction point are determined as the distributed photovoltaic group control strategy corresponding to the first prediction point, and the distributed photovoltaic group control strategies at the remaining prediction points are determined according to the first control set U corresponding to the first prediction point, so as to avoid problems in distributed photovoltaic control caused by determining the same control distributed photovoltaic at different prediction points, thereby improving the accuracy of determining the distributed photovoltaic group control strategy corresponding to each prediction point, and facilitating improving the rationality and reliability of distributed photovoltaic group control.

[0051] In addition, the number of times each distributed photovoltaic in the low-voltage area participates in regulation can be counted based on the distributed photovoltaic group regulation strategy corresponding to each prediction point to form a corresponding number set, so that the number of times the distributed photovoltaic has participated in regulation can be taken into account in the next regulation period (for example, giving priority to distributed photovoltaics that have not participated in regulation, etc.).

[0052] An embodiment of the present application provides a method for generating a distributed photovoltaic group regulation strategy, wherein the distributed photovoltaic may include rigid distributed photovoltaic and flexible distributed photovoltaic. The method determines a first regulation set and a first output ratio set corresponding to the first prediction point based on the predicted power generation of each distributed photovoltaic at the first prediction point, the target regulation power corresponding to the first prediction point, and the distributed photovoltaic group regulation business rules. The method may include:

[0053] Select a first target distributed photovoltaic from the distributed photovoltaics according to the distributed photovoltaic group adjustment business rules, update the predicted control power according to the predicted power generation power of the first target distributed photovoltaic at the first prediction point, and determine whether the updated predicted control power is greater than the target control power corresponding to the first prediction point;

[0054] If not, the power output ratio of the first target distributed photovoltaic is determined to be 0, and the first target distributed photovoltaic and its power output ratio are added to the first control set and the first output ratio set corresponding to the first prediction point respectively, and the process returns to executing the step of selecting the first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group control business rules;

[0055] If so, the power output ratio of the first target distributed photovoltaic is determined according to the type of the first target distributed photovoltaic, and the first target distributed photovoltaic and its power output ratio are respectively added to the first control set and the first output ratio set corresponding to the first prediction point.

[0056] In the embodiment of the present application, distributed photovoltaics can include rigid distributed photovoltaics and flexible distributed photovoltaics. Rigid distributed photovoltaics is a control method of opening and closing the switch, and there are only power control methods of 0 and 1 (that is, the power output ratio of rigid distributed photovoltaics is only 0 and 1). Flexible distributed photovoltaics can control the ratio or size of power output, and the power output ratio is between 0-1 (including the endpoint values).

[0057] On the basis of the above, the process of determining the first control set U and the first output ratio set W corresponding to the first prediction point according to the predicted power generation of each distributed photovoltaic at the first prediction point, the target control power corresponding to the first prediction point, and the distributed photovoltaic group control business rules can be specifically as follows:

[0058] Step 301: Select the first target distributed photovoltaic from the distributed photovoltaic in the low-voltage substation according to the distributed photovoltaic group adjustment business rules, obtain the predicted power generation power p of the first target distributed photovoltaic at the first prediction point, and use y'=y'+p to update the predicted control power y' according to the predicted power generation power p of the first target distributed photovoltaic at the first prediction point. Determine whether the updated predicted control power y' is greater than the corresponding target control power y at the first prediction point. If not, execute step 302; if so, execute step 303.

[0059] Step 302: If the updated predicted control power y' is not greater than the target control power y corresponding to the first prediction point, it indicates that the total predicted power generation of the selected first target distributed photovoltaic system at the first prediction point is not greater than the target control power y corresponding to the first prediction point. In this case, the power output ratio of the first target distributed photovoltaic system selected in step 301 can be set to 0 (i.e., the selected first target distributed photovoltaic system is controlled not to be connected to the grid and return power), and the selected first target distributed photovoltaic system can be added to the first control set U corresponding to the first prediction point, and the determined power output ratio of the first target distributed photovoltaic system is added to the first output ratio set W corresponding to the first prediction point. Then, the process can return to step 301.

[0060] Step 303: If the updated predicted control power y' is greater than the target control power y corresponding to the first prediction point, it indicates that the total predicted power generation of the selected first target distributed photovoltaic system at the first prediction point exceeds the target control power y corresponding to the first prediction point. At this time, in order to both meet the target control power y corresponding to the first prediction point and reduce the abandoned power of the distributed photovoltaic system, the power output ratio of the first target distributed photovoltaic system can be determined according to the type of the first target distributed photovoltaic system, so as to control the grid connection of the first target distributed photovoltaic system according to the determined power output ratio of the first target distributed photovoltaic system. Afterwards, the selected first target distributed photovoltaic system can be added to the first control set U corresponding to the first prediction point, and the determined power output ratio of the first target distributed photovoltaic system can be added to the first output ratio set W corresponding to the first prediction point.

[0061] After determining the first control set U and the first output ratio set W corresponding to the first prediction point, this information is used as the distributed photovoltaic group adjustment strategy corresponding to the first prediction point and subsequently participates in the distributed photovoltaic group adjustment and control to solve the foldback and overvoltage problems caused by the large-scale access of distributed photovoltaics. Moreover, the above process does not require the use of genetic algorithms, particle swarm optimization, or other methods for solution, nor does it require real-time model training to determine the distributed photovoltaic group adjustment strategy at the first prediction point. This reduces the computational complexity, computational workload, and demand for computing resources of the group adjustment strategy, improves computational efficiency, and incorporates distributed photovoltaic group adjustment business rules, so that the generated group adjustment strategy can meet the corresponding business rules and business needs.

[0062] See also Figure 2 , which shows a flow chart of determining a first control set and a first output ratio set provided by an embodiment of the present application. A distributed photovoltaic group control strategy generation method provided by an embodiment of the present application, which determines a first target distributed photovoltaic power output ratio based on the type of the first target distributed photovoltaic, may include:

[0063] If the first target distributed photovoltaic is a rigid distributed photovoltaic, the power output ratio of the first target distributed photovoltaic is determined to be 0;

[0064] If the first target distributed photovoltaic is a flexible distributed photovoltaic, the power output ratio of the first target distributed photovoltaic is determined according to the updated predicted control power, the target control power corresponding to the first prediction point and the predicted power generation power of the first target distributed photovoltaic at the first prediction point.

[0065] In an embodiment of the present application, when determining the power output ratio of the first target distributed photovoltaic according to the type of the first target distributed photovoltaic, if the first target distributed photovoltaic is a rigid distributed photovoltaic, since it only has power control modes of 0 and 1, in order to meet the target control power corresponding to the first prediction point, the power output ratio of the first target distributed photovoltaic can be determined to be 0, that is, the first target distributed photovoltaic is not grid-connected at the first prediction point. If the first target distributed photovoltaic is a flexible distributed photovoltaic, since its power output ratio can be adjusted between 0 and 1, therefore, in order to both meet the target control power corresponding to the first prediction point and reduce the abandoned light resources and improve the utilization rate of distributed photovoltaic power generation, the power output ratio w of the first target distributed photovoltaic can be determined according to the updated predicted control power y', the target control power y corresponding to the first prediction point and the predicted power generation power p of the first target distributed photovoltaic at the first prediction point, using w = (y'-y) / p.

[0066] The present application provides a method for generating a distributed photovoltaic group regulation strategy. The distributed photovoltaic group regulation business rule is that the regulation priority of rigid distributed photovoltaics is higher than the regulation priority of flexible distributed photovoltaics, and distributed photovoltaics of the same type are regulated in order of power generation. The distributed photovoltaic group regulation strategy generation method may further include:

[0067] The rigid distributed photovoltaics are sorted in descending order according to the predicted power generation at the first prediction point to obtain a first sorting;

[0068] The flexible distributed photovoltaics are sorted in descending order according to the predicted power generation at the first prediction point to obtain a second sorting;

[0069] Arrange the second ranking after the first ranking to obtain the distributed photovoltaic ranking;

[0070] Selecting a first target distributed photovoltaic from distributed photovoltaics according to the distributed photovoltaic group dispatching business rules may include:

[0071] The first target distributed photovoltaic is selected from the distributed photovoltaic ranking.

[0072] The specific business rules for distributed photovoltaic group regulation can be that the regulation priority of rigid distributed photovoltaics is higher than that of flexible distributed photovoltaics, and that the same type of distributed photovoltaics are regulated in order of power generation. That is, the specific business rules for distributed photovoltaic group regulation can be that the rigid distributed photovoltaics are regulated first and then the flexible distributed photovoltaics, and that the large power generation power is regulated first and then the small power generation power is regulated among the same type of distributed photovoltaics.

[0073] On the basis of the above, before selecting the first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group dispatching business rules, the rigid distributed photovoltaic can also be sorted in descending order according to the predicted power generation at the first prediction point to obtain a first sorting, and the flexible distributed photovoltaic can be sorted in descending order according to the predicted power generation at the first prediction point to obtain a second sorting. Then, the second sorting can be sorted after the first sorting to obtain a distributed photovoltaic sorting. Accordingly, according to the distributed photovoltaic group dispatching business rules, the first target distributed photovoltaic is selected from the distributed photovoltaic. Specifically, the first target distributed photovoltaic can be selected from the distributed photovoltaic sorting in a forward-to-backward order, so as to select the first target distributed photovoltaic according to the distributed photovoltaic group dispatching business rules, and determine the distributed photovoltaic group dispatching strategy that meets the distributed photovoltaic group dispatching business rules.

[0074] By first ranking the distributed photovoltaic units in the low-voltage area based on the distributed photovoltaic group dispatching business rules, and then selecting the first target distributed photovoltaic unit according to the ranking, the efficiency and accuracy of the distributed photovoltaic group dispatching strategy can be improved. Of course, it is also possible to directly select the first target distributed photovoltaic unit from the distributed photovoltaic units in the low-voltage area according to the distributed photovoltaic group dispatching business rules without ranking.

[0075] Of course, the distributed photovoltaic group adjustment business rules can also be other rules, for example: participating in the adjustment in the next adjustment period in order from low to high number of adjustments in the previous adjustment period, etc. At this time, the distributed photovoltaics in the low-voltage area can be sorted according to the corresponding distributed photovoltaic group adjustment business rules, so as to obtain the first target distributed photovoltaics in order.

[0076] A distributed photovoltaic group dispatching strategy generation method provided in an embodiment of the present application may further include, before selecting a first target distributed photovoltaic from distributed photovoltaics according to a distributed photovoltaic group dispatching business rule:

[0077] Eliminate the distributed photovoltaics that failed the last regulation from the distributed photovoltaics.

[0078] In an embodiment of the present application, before selecting the first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group adjustment business rules, the distributed photovoltaic that failed to be adjusted last time can be obtained. Since it failed in the last adjustment, it indicates that there is a problem with itself or it is not suitable for participating in the adjustment. In order to avoid it being selected in the next adjustment and continuing to fail to adjust, thereby causing problems in the distributed photovoltaic group adjustment and control, the distributed photovoltaic that failed to be adjusted last time can be removed from the distributed photovoltaic, so as to improve the accuracy and reliability of the generated distributed photovoltaic group adjustment strategy, thereby improving the accuracy and reliability of the distributed photovoltaic group adjustment and control. Among them, the distributed photovoltaic that failed to be adjusted last time can be removed before sorting, or after obtaining the distributed photovoltaic sorting, and the embodiment of the present application does not limit this.

[0079] Based on the above process, it can be seen that the process of determining the first control set U and the first output ratio set W corresponding to the first prediction point can be specifically as follows:

[0080] Step 1: Initialization, the first control set U is empty, and the distributed photovoltaics including the rigid distributed photovoltaic set G and the flexible distributed photovoltaic set R will be written in the subsequent process. The first output ratio set is empty, and the power output ratio corresponding to the distributed photovoltaics in the first control set U will be written in the subsequent process.

[0081] Step 2: The predicted power generation at time T+1 (for example, 15 minutes, T+1 represents the first prediction point) corresponding to the distributed photovoltaics in the rigid distributed photovoltaic set G and the flexible distributed photovoltaic set R are sorted in descending order.

[0082] Step 3: Sort the distributed photovoltaics in the rigid distributed photovoltaic set G and the flexible distributed photovoltaic set R based on the descending order of predicted power generation, and obtain the first and second rankings respectively. Arrange the second ranking after the first ranking to obtain the distributed photovoltaic ranking.

[0083] Step 4: Eliminate users that failed to control at time T (last time) and update the distributed photovoltaic ranking.

[0084] Step 5: Extract a first target distributed photovoltaic and the corresponding predicted power generation power at time T+1 from the distributed photovoltaic ranking in order, and use y'=y'+p to update the predicted control power y'.

[0085] Step 6: Determine the relationship between the updated predicted control power y' and the corresponding target control power y. If y>y', if the first target distributed photovoltaic system is a rigid distributed photovoltaic system, then the power output ratio of the first target distributed photovoltaic system is determined to be 0. If the first target distributed photovoltaic system is a flexible distributed photovoltaic system, then the power output ratio w of the first target distributed photovoltaic system is determined using w=(y'-y) / p. The first target distributed photovoltaic system is updated to the first control set U, and the power output ratio of the first target distributed photovoltaic system is updated to the first output ratio set W. If y≤y, the first target distributed photovoltaic system is updated to the first control set U, the power output ratio of the first target distributed photovoltaic system is determined to be 0 and updated to the first output ratio set W, and then step 5 is continued.

[0086] Step 7: Output the first control set U and the first output ratio set W.

[0087] An embodiment of the present application provides a method for generating a distributed photovoltaic group regulation strategy, which determines the distributed photovoltaic group regulation strategies at the remaining prediction points based on a first regulation set corresponding to a first prediction point, and may include:

[0088] The first prediction point is determined as the target prediction point, and the sum of the first predicted power generation of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is obtained;

[0089] Compare the first predicted generated power sum with the target control power corresponding to the next predicted point, determine the distributed photovoltaic group adjustment strategy corresponding to the next predicted point based on the comparison result, and determine the first control set corresponding to the next predicted point based on the first control set corresponding to the target predicted point and the distributed group adjustment strategy corresponding to the next predicted point;

[0090] The next prediction point is determined as the target prediction point, and the process returns to the step of obtaining the sum of the first predicted power generation powers of the regulated distributed photovoltaics in the first regulation set corresponding to the target prediction point at the next prediction point.

[0091] In the embodiment of the present application, the method of determining the distributed photovoltaic group adjustment strategy at the remaining prediction points according to the first control set corresponding to the first prediction point can be:

[0092] Step 401: Determine the first prediction point as the target prediction point, and obtain the first predicted power sum P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point. 总1 For example, at time T, the first control set U1 corresponding to time T+1 is determined to be U1={u1,u2,…,u n} and the first output ratio set W1, determine the time T+1 as the target prediction point, and obtain u1, u2, ..., u in the first control set U1 corresponding to the time T+1. n The corresponding predicted power generation power p at time T+2 1---(T+2) ,p 2---(T+2) ,…,p n---(T+2) , calculate P 总1 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) It should be noted that when the last determined regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point is a rigid distributed photovoltaic or a flexible distributed photovoltaic and the power output ratio of the flexible distributed photovoltaic is 0, P can be used. 总1 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) Calculate the first predicted total generated power P 总1 When the last determined regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point is a flexible distributed photovoltaic and the power output ratio of the flexible distributed photovoltaic is not 0, then P 总1 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) *(1-k n ) Calculate the first predicted power generation and P 总1 (k n is the power output ratio of the flexible distributed photovoltaic at the target prediction point).

[0093] Step 402: The sum of the first predicted power generation power P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is calculated. 总1The target control power corresponding to the next prediction point is compared, and the distributed photovoltaic group control strategy corresponding to the next prediction point is determined based on the comparison result, so as to avoid repeated control when the same distributed photovoltaic is determined at different prediction points to control distributed photovoltaics, thereby causing abnormal distributed photovoltaic control. This improves the accuracy of the determination of the distributed photovoltaic group control strategy corresponding to each prediction point, and facilitates improving the rationality and reliability of the distributed photovoltaic group control. After determining the distributed photovoltaic group control strategy corresponding to the next prediction point, the first control set corresponding to the next prediction point can also be determined based on the first control set corresponding to the target prediction point and the distributed group control strategy corresponding to the next prediction point.

[0094] Step 403: Determine the next prediction point as the target prediction point, and return to step 401 until the distributed photovoltaic group adjustment strategy corresponding to each prediction point is determined.

[0095] The above method can accurately, quickly, efficiently and reliably determine the distributed photovoltaic group adjustment strategy corresponding to each prediction point.

[0096] A distributed photovoltaic group regulation strategy generation method provided in an embodiment of the present application determines the distributed photovoltaic group regulation strategy corresponding to a subsequent prediction point based on a comparison result, and determines the first regulation set corresponding to the subsequent prediction point based on the first regulation set corresponding to the target prediction point and the distributed group regulation strategy corresponding to the subsequent prediction point, which may include:

[0097] If the sum of the first predicted generated power is greater than the target control power corresponding to the next predicted point, the second target distributed photovoltaic is deleted from the first control set corresponding to the target predicted point according to the distributed photovoltaic group control business rules, and the second predicted generated power sum at the next predicted point after the second target distributed photovoltaic is deleted from the first control set corresponding to the target predicted point is obtained;

[0098] If the second predicted total generated power is greater than the target control power corresponding to the next prediction point, the power output ratio of the second target distributed photovoltaic is restored to 1, and the process returns to the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rules;

[0099] If the second predicted total generated power is less than the target control power corresponding to the next prediction point, then when the second target distributed photovoltaic is a rigid distributed user, the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group adjustment business rules is refused to be executed; when the second target distributed photovoltaic is a flexible distributed user, the power output ratio of the second target distributed photovoltaic is determined;

[0100] If the second predicted power generation sum is equal to the target control power corresponding to the next predicted point, the second target distributed photovoltaic power output ratio is restored to 1;

[0101] The distributed photovoltaic group regulation strategy corresponding to the next prediction point is determined according to the second target distributed photovoltaic and the corresponding power output ratio, and the set obtained by deleting the second target distributed photovoltaic from the first regulation set corresponding to the target prediction point is used as the first regulation set corresponding to the next prediction point.

[0102] In this embodiment of the present application, if the total first predicted power generation power P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is 总1 If the target power is greater than the target control power corresponding to the next prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the comparison result. The process of determining the first control set corresponding to the next prediction point according to the first control set corresponding to the target prediction point and the distributed group control strategy corresponding to the next prediction point can be specifically as follows:

[0103] Step 501: If the total first predicted power generation power P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point 总1 If it is greater than the target control power corresponding to the next prediction point, it means that the participation of each controlled distributed photovoltaic in the first control set corresponding to the target prediction point in the distributed photovoltaic group control at the next prediction point will result in too much controlled power. In order to reduce the power controlled by the distributed photovoltaic at the next prediction point, the second target distributed photovoltaic can be deleted from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rules. For example, when the distributed photovoltaic group control business rules are that the control priority of rigid distributed photovoltaic is higher than the control priority of flexible distributed photovoltaic, and the control is carried out in the order of power generation among the same type of distributed photovoltaic, the second target distributed photovoltaic can be deleted in the order opposite to the order of the control distributed photovoltaic in the first control set corresponding to the target prediction point, that is, the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point according to the first in and last out. Then, the second predicted power generation sum P at the next prediction point after the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point is obtained. 总2 .

[0104] Step 502: If the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point, the second predicted power sum P at the next prediction point 总2If the target power is greater than the target control power corresponding to the next prediction point, it indicates that the participation of the remaining controlled distributed photovoltaics in the first control set corresponding to the target prediction point in the distributed photovoltaic group control at the next prediction point will still cause too much controlled power. At this time, the power output ratio of the deleted second target distributed photovoltaic can be restored to 1, and the process of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rules is returned to, that is, continuing to delete the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rules, that is, repeating the relevant steps, and judging the second predicted total power generation power P at the next prediction point after deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point. 总2 The size relationship between the target control power corresponding to the next prediction point is determined, and the corresponding operation is performed according to the size relationship.

[0105] Step 503: If the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point, the second predicted power sum P at the next prediction point 总2 If it is less than the target control power corresponding to the next prediction point, it means that the second target distributed photovoltaic is not deleted. Then the first predicted power generation sum of the remaining controlled distributed photovoltaics in the first control set corresponding to the target prediction point at the next prediction point is P 总 If the second target distributed photovoltaic is deleted, the sum of the first predicted power generation of the remaining controlled distributed photovoltaics in the first control set corresponding to the target prediction point at the next prediction point is P 总 is less than the target control power corresponding to the next prediction point. Therefore, in order to meet the target control power corresponding to the next prediction point and reduce the abandoned light of distributed photovoltaics, when the second target distributed photovoltaic is a rigid distributed user, the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group adjustment business rules is refused to be executed, that is, the second target distributed photovoltaic is refused to be deleted. When the second target distributed photovoltaic corresponding to the second target prediction point is a flexible distributed photovoltaic, the total predicted power generation power P corresponding to the next prediction point when the second target distributed photovoltaic is not deleted according to the first control set corresponding to the target prediction point is 总 , the target control power corresponding to the next prediction point and the predicted power generation power corresponding to the second target distributed photovoltaic at the next prediction point determine the power output ratio of the second target distributed photovoltaic.

[0106] Step 504: If the second predicted power generation sum P at the next prediction point after deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point 总2If it is equal to the target control power corresponding to the next prediction point, it means that the target control power corresponding to the next prediction point can be met by participating in the distributed photovoltaic group control at the next prediction point with the remaining controlled distributed photovoltaics in the first control set corresponding to the target prediction point. At this time, the power output ratio of the deleted second target distributed photovoltaic can be restored to 1.

[0107] Step 505: Determine the distributed photovoltaic group adjustment strategy corresponding to the next prediction point based on the second target distributed photovoltaic and the corresponding output ratio, so that the distributed photovoltaic group adjustment strategy corresponding to the next prediction point does not contain the same controlled distributed photovoltaic as the distributed photovoltaic group adjustment strategy corresponding to the previous prediction point. Furthermore, the set obtained by removing the second target distributed photovoltaic from the first adjustment set corresponding to the target prediction point can be determined as the first adjustment set corresponding to the next prediction point, so as to facilitate the determination of the distributed photovoltaic group adjustment strategy corresponding to the next prediction node.

[0108] For example, the first control set U1 corresponding to time T+1 = {u1, u2, ..., u n}, the regulated distributed photovoltaic u1, u2, ..., u in the first regulation set U1 corresponding to time T+1 n The corresponding predicted power generation at time T+2 is p 1---(T+2) 、p 2---(T+2) ,…,p n---(T+2) , each regulated distributed photovoltaic u1, u2, ..., u in the first regulation set U1 corresponding to time T+1 n The first predicted total generated power at time T+2: P 总1 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) *(1-k n ), P 总1 >y T+2 (The target control power corresponding to the next prediction point). Assume that the distributed photovoltaic u1, u2, ..., u n The first control set, u n The power output ratio is 0 and the distributed photovoltaic group regulation business rules are that the regulation priority of rigid distributed photovoltaic is higher than that of flexible distributed photovoltaic, and the same type of distributed photovoltaic is regulated in the order of power generation, then the first regulation set U1 corresponding to time T+1 is U1={u1,u2,…,u n} to delete u n , obtain the first control set U1 corresponding to time T+1={u1,u2,…,u n}Delete u n The second predicted total power generation at time T+2 is P总2 =p 1---(T+2) +p 2---(T+2) +…+p n-1---(T+2) If you delete u n The second predicted total power generation at time T+2 is P 总2 Still greater than y T+2 , then u n The power output ratio is restored to 1, and u is deleted from the T+1 moment. n The first control set U1={u1,u2,…,u n-1} to delete u n-1 , obtain the first control set U1 corresponding to time T+1={u1,u2,…,u n-1}Delete u n-1 The second predicted total power generation at time T+2 is P 总2 =p 1---(T+2) +p 2---(T+2) +…+p n-2---(T+2) If you delete u n-1 The second predicted total power generation at time T+2 is P 总2 <y T+2 , then when u n-1 For rigid distributed photovoltaics, the corresponding deletion u from the T+1 moment is rejected. n The first control set U1={u1,u2,…,u n-1} to delete u n-1 , when u n-1 For flexible distributed photovoltaics, P 总2 =p 1---(T+2) +p 2---(T+2) +…+p n-1---(T+2) 、y T+2 and u n-1 The predicted power generation at time T+2 is p n-1---(T+2) , using w n-1---(T+2) =(P 总2 -y T+2 ) / p n-1---(T+2) Get u n-1 Power output ratio at time T+2.

[0109] When u n-1 For rigid distributed photovoltaic, it can be based on u n And the corresponding power output ratio determines the distributed photovoltaic group adjustment strategy corresponding to time T+2, which includes the control distributed photovoltaic as u n , adjust the power output ratio of distributed photovoltaic to 1, and determine the first control set corresponding to time T+2 as U2={u1,u2,…,u n-1}. When u n-1Taking flexible distributed photovoltaic as an example, we can calculate the n 、u n-1 and u n Corresponding power output ratio 1, u n-1 The corresponding power output ratio w n-1---(T+2) Determine the distributed photovoltaic group adjustment strategy corresponding to time T+2, which includes the control distributed photovoltaic u n and u n-1 , regulating distributed photovoltaic u n and u n-1 The corresponding power output ratios are 1 and w n-1---(T+2) , and determine the first control set corresponding to time T+2 as U2={u1,u2,…,u n-2}.

[0110] A distributed photovoltaic group regulation strategy generation method provided in an embodiment of the present application determines the distributed photovoltaic group regulation strategy corresponding to a subsequent prediction point based on a comparison result, and determines the first regulation set corresponding to the subsequent prediction point based on the first regulation set corresponding to the target prediction point and the distributed group regulation strategy corresponding to the subsequent prediction point, which may include:

[0111] If the sum of the first predicted generated power is less than the target control power corresponding to the next predicted point, a third target distributed photovoltaic is selected from the remaining distributed photovoltaics according to the distributed photovoltaic group control business rules, and the third target distributed photovoltaic is added to the first control set corresponding to the target predicted point, and the third predicted generated power sum at the next predicted point after the third target distributed photovoltaic is added to the first control set corresponding to the target predicted point is obtained; the remaining distributed photovoltaics are the distributed photovoltaics not included in the first control set corresponding to the target predicted point;

[0112] If the third predicted total power generation is less than the target control power corresponding to the next predicted point, the power output ratio of the third target distributed photovoltaic is determined to be 0, and the process returns to the step of selecting the third target distributed photovoltaic from the remaining distributed photovoltaics according to the distributed photovoltaic group control business rules;

[0113] If the third predicted power generation sum is greater than the target control power corresponding to the next predicted point, the power output ratio of the third target distributed photovoltaic is determined according to the type of the third target distributed photovoltaic;

[0114] If the sum of the third predicted generated power is equal to the target control power corresponding to the next predicted point, the third target distributed photovoltaic power output ratio is determined to be 0;

[0115] The distributed photovoltaic group regulation strategy corresponding to the next prediction point is determined according to the third target distributed photovoltaic and the corresponding power output ratio, and the set obtained by adding the third target distributed photovoltaic to the first regulation set corresponding to the target prediction point is determined as the first regulation set corresponding to the next prediction point.

[0116] In the embodiment of the present application, if the total first predicted power generation power P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is 总1 If the target power is less than the target control power corresponding to the next prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the comparison result. The specific process of determining the first control set corresponding to the next prediction point according to the first control set corresponding to the target prediction point and the distributed group control strategy corresponding to the next prediction point can be:

[0117] Step 601: If the total first predicted power generation power P of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point 总1 If the target control power is less than the target control power corresponding to the next prediction point, it means that the power controlled by each controlled distributed photovoltaic in the first control set corresponding to the target prediction point when participating in the distributed photovoltaic group control at the next prediction point is too small to meet the target control power corresponding to the next prediction point. At this time, a third target distributed photovoltaic can be selected from the remaining distributed photovoltaic according to the distributed photovoltaic group control business rules. The remaining distributed photovoltaic mentioned here refers to the distributed photovoltaic in the low-voltage area that is not included in the first control set corresponding to the target prediction point. For example, if the distributed photovoltaic group control business rules specifically stipulate that the control priority of rigid distributed photovoltaic is higher than the control priority of flexible distributed photovoltaic, and the control is carried out in the order of power generation among the same type of distributed photovoltaic, then the distributed photovoltaic in the low-voltage area can be sorted at the next prediction point according to the aforementioned sorting method to obtain the distributed photovoltaic ranking corresponding to the next prediction point. According to the distributed photovoltaic ranking corresponding to the next prediction point, the distributed photovoltaic that is not included in the first control set corresponding to the target prediction point is selected as the third target distributed photovoltaic. Then, the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point, and the third predicted power sum P at the next prediction point after the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point is obtained. 总3 .

[0118] Step 602: If the third predicted power generation sum P at the next prediction point after the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point 总3If the power output ratio of the third target distributed photovoltaic is less than the target control power corresponding to the next prediction point, it indicates that after adding the third target distributed photovoltaic to the first control set corresponding to the target prediction point, the power controlled when each controlled distributed photovoltaic in the first control set participates in the distributed photovoltaic group control at the next prediction point still cannot meet the target control power corresponding to the next prediction point. At this time, it can be determined that the power output ratio of the third target distributed photovoltaic is 0, and the process returns to the step of selecting the third target distributed photovoltaic from the remaining distributed photovoltaic according to the distributed photovoltaic group control business rules, that is, continue to select the third target distributed photovoltaic from the remaining distributed photovoltaic according to the distributed photovoltaic group control business rules and add it to the first control set corresponding to the target prediction point, that is, repeat the relevant steps.

[0119] Step 603: If the third predicted power generation sum P at the next prediction point after the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point 总3 If the target control power corresponding to the next prediction point is greater than the target control power corresponding to the next prediction point, it means that adding the third target distributed photovoltaic will make the sum of the first control set corresponding to the target prediction point and the third predicted power generation power corresponding to the next prediction point P 总3 If the third target distributed photovoltaic is not added, the sum of the first control set corresponding to the target prediction point and the third predicted power generation power corresponding to the next prediction point will be greater than the target control power corresponding to the next prediction point. 总3 is less than the target control power corresponding to the next prediction point. At this time, in order to meet the target control power corresponding to the next prediction point and reduce the abandoned light of distributed photovoltaic, the power output ratio of the third target distributed photovoltaic can be determined according to the third target distributed photovoltaic type. Specifically, when the third target distributed photovoltaic is rigid distributed photovoltaic, the power output ratio of the third target distributed photovoltaic is determined to be 0. When the third target distributed photovoltaic is flexible distributed photovoltaic, the third predicted power generation sum P at the next prediction point after adding the third target distributed photovoltaic according to the first control set corresponding to the target prediction point is obtained. 总3 , the target control power corresponding to the next prediction point and the predicted power generation power corresponding to the third target distributed photovoltaic at the next prediction point determine the power output power of the third target distributed photovoltaic.

[0120] Step 604: If the third predicted power generation sum P at the next prediction point after the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point 总3 If it is equal to the target control power corresponding to the next prediction point, it means that the target control power corresponding to the next prediction point can be met after the third target distributed photovoltaic is added. At this time, it can be determined that the power output ratio of the added third target distributed photovoltaic is 0.

[0121] Step 605: Determine the distributed photovoltaic group adjustment strategy corresponding to the next prediction point based on the third target distributed photovoltaic and the corresponding power output ratio, and determine the set obtained by adding the third target distributed photovoltaic to the first adjustment set corresponding to the target prediction point as the first adjustment set corresponding to the next prediction point, so as to participate in the determination of the distributed photovoltaic group adjustment strategy corresponding to the next prediction node.

[0122] For example, the first control set U1 corresponding to time T+1 = {u1, u2, ..., u n}, the regulated distributed photovoltaic u1, u2, ..., u in the first regulation set U1 corresponding to time T+1 n The corresponding predicted power generation at time T+2 is p 1---(T+2) 、p 2---(T+2) ,…,p n---(T+2) , each regulated distributed photovoltaic u1, u2, ..., u in the first regulation set U1 corresponding to time T+1 n The first predicted total generated power P at time T+2 总1 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) *(1-k n ), P 总1 <y T+2 Assuming that the specific business rules of distributed photovoltaic group regulation are that the regulation priority of rigid distributed photovoltaic is higher than that of flexible distributed photovoltaic, and the regulation is carried out in the order of power generation among the same type of distributed photovoltaic, then the distributed photovoltaic u that is not included in the first regulation set corresponding to the target prediction point will be n+1 Add to the first control set U1 corresponding to the target prediction point = {u1, u2, ..., u n} to form {u1,u2,…,u n ,u n+1}, using P 总3 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2) +p n+1---(T+2) Get the newly formed {u1,u2,…,u n ,u n+1 The third predicted total power generation P at time T+2 总3 If you add u n+1 The third predicted total power generation at time T+2 is P 总3 Still smaller than y T+2 , then u n+1 The power output ratio of the target prediction point is determined to be 0, and the distributed photovoltaic u that is not included in the first control set corresponding to the target prediction point is sorted according to the distributed photovoltaic order. n+2Add to {u1,u2,…,u n ,u n+1 ,u n+2}, get the value of adding u n+1 Add u on the basis n+2 The third predicted total power generation at time T+2 is P 总3 =p 1---(T+2) +p 2---(T+2) +…+p n+2---(T+2) If you add u n+2 Then at time T+2, P 总3 Greater than y T+2 , then when u n+2 When it is a rigid distributed photovoltaic, the power output ratio of the third target distributed photovoltaic is determined to be 0. n+2 For flexible distributed photovoltaics, P 总3 =p 1---(T+2) +p 2---(T+2) +…+p n+2---(T+2) 、y T+2 and u n+2 The predicted power generation at time T+2 is p n+2---(T+2) , using w n+2---(T+2) =(P 总2 -y T+2 ) / p n+2---(T+2) Get u n+2 Power output ratio at time T+2.

[0123] It should be noted that the above embodiment is specifically applicable to any of the following scenarios: (1) the last regulated distributed photovoltaic determined in the first regulation set corresponding to the target prediction point is a rigid distributed photovoltaic; (2) the last regulated distributed photovoltaic determined in the first regulation set corresponding to the target prediction point is a flexible distributed photovoltaic and the power output ratio of the flexible distributed photovoltaic is 0; (3) the last regulated distributed photovoltaic determined in the first regulation set corresponding to the target prediction point is a flexible distributed photovoltaic and the power output ratio of the flexible distributed photovoltaic is not 0, but the power output ratio of the flexible distributed photovoltaic is not adjusted at the next prediction point. When the last regulated distributed photovoltaic determined in the first regulation set corresponding to the target prediction point is a flexible distributed photovoltaic and the power output ratio of the flexible distributed photovoltaic is not 0 but the power output ratio of the flexible distributed photovoltaic can be adjusted at the next prediction point, then before selecting the third target distributed photovoltaic from the remaining distributed photovoltaic according to the distributed photovoltaic group regulation business rules, the power output ratio of the flexible distributed photovoltaic can be adjusted to 0. Then, using P 总4 =p 1---(T+2) +p 2---(T+2) +…+p n---(T+2)Obtain the sum of the fourth predicted power generation powers of the first control set corresponding to the target prediction point at the next prediction point. If the sum of the fourth predicted power generation powers is less than the target control power corresponding to the next prediction point, execute the step of selecting a third target distributed photovoltaic from the remaining distributed photovoltaics according to the distributed photovoltaic group adjustment business rules. If the sum of the fourth predicted power generation powers is greater than the target control power corresponding to the next prediction point, the predicted power generation power p of the last determined distributed photovoltaic in the first control set corresponding to the target prediction point at the next prediction point can be obtained. n---(T+2) The power output power of the last determined regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point is determined. When determining the distributed photovoltaic group regulation strategy corresponding to the subsequent prediction point based on the third target distributed photovoltaic and the corresponding power output ratio, the distributed photovoltaic group regulation strategy corresponding to the subsequent prediction point can be determined based on the last determined regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point, the power output ratio corresponding to the regulated distributed photovoltaic at the subsequent prediction point, the third target distributed photovoltaic and the corresponding power output ratio.

[0124] The present invention provides a method for generating a distributed photovoltaic group regulation strategy, which determines the distributed photovoltaic group regulation strategy corresponding to the prediction point based on the predicted power generation of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point, and the distributed photovoltaic group regulation business rules. The method may include:

[0125] Determine the second control set and the second output ratio set corresponding to each prediction point based on the target control power corresponding to each prediction point, the predicted power generation power of each distributed photovoltaic at the prediction point, and the distributed photovoltaic group adjustment business rules;

[0126] Determine the second control set and the second output ratio set corresponding to the first prediction point as the distributed photovoltaic group control strategy corresponding to the first prediction point;

[0127] The second control set corresponding to the next prediction point is compared with the second control set corresponding to the previous prediction point, and the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the comparison result.

[0128] In the embodiment of the present application, the following method can also be used to determine the distributed photovoltaic group adjustment strategy corresponding to the prediction point based on the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point, and the distributed photovoltaic group adjustment business rules:

[0129] Step 701: Determine the second control set and the second output ratio set corresponding to each prediction point based on the target control power corresponding to each prediction point, the predicted power generation power of each distributed photovoltaic at the prediction point, and the distributed photovoltaic group adjustment business rules.

[0130] It should be noted that the specific implementation process of the above steps is similar to the method of determining the first control set and the first output ratio set corresponding to the first prediction point mentioned above. The detailed process can be found in the detailed description of the corresponding part and will not be repeated here.

[0131] Step 702: Determine the second control set and the second output ratio corresponding to the first prediction point as the distributed group control strategy corresponding to the first prediction point.

[0132] Step 703: Compare the second control set corresponding to the next prediction point with the second control set corresponding to the previous prediction point, and determine the distributed photovoltaic group control strategy corresponding to the next prediction point based on the comparison result, so as to avoid problems in the distributed photovoltaic group control caused by determining the same control distributed photovoltaic at different prediction points, so as to improve the rationality and accuracy of the determination of the distributed photovoltaic group control strategy corresponding to each prediction point, thereby facilitating the improvement of the rationality and reliability of the distributed photovoltaic group control.

[0133] A distributed photovoltaic group adjustment strategy generation method provided in an embodiment of the present application, which determines the distributed photovoltaic group adjustment strategy corresponding to a subsequent prediction point based on the comparison result, may include:

[0134] If the second control set corresponding to the next prediction point adds distributed photovoltaics compared to the second control set corresponding to the previous prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the added distributed photovoltaics and the corresponding power output power;

[0135] If the second control set corresponding to the next prediction point has fewer distributed photovoltaics than the second control set corresponding to the previous prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the reduced distributed photovoltaics and the corresponding power output power.

[0136] In the embodiment of the present application, the specific process of determining the distributed photovoltaic group adjustment strategy corresponding to the next prediction point according to the comparison result may be:

[0137] Step 801: If the second control set corresponding to the next prediction point adds distributed photovoltaics compared to the second control set corresponding to the previous prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the distributed photovoltaics added by the second control set corresponding to the next prediction point compared to the second control set corresponding to the previous prediction point and the corresponding power output ratio, that is, the distributed photovoltaic group control strategy corresponding to the next prediction point includes the added distributed photovoltaics and the added power output ratio of the distributed photovoltaics.

[0138] Step 802: If the second control set corresponding to the next prediction point has fewer distributed photovoltaic units than the second control set corresponding to the previous prediction point, the reduced power output ratio of the distributed photovoltaic units may be restored (e.g., restored to 1). Specifically, the reduced power output ratio of the distributed photovoltaic units may be determined based on the second output ratio set corresponding to the next prediction point. Thereafter, the distributed photovoltaic group control strategy corresponding to the next prediction point may be determined based on the reduced distributed photovoltaic units and the corresponding power output ratios. That is, the distributed photovoltaic group control strategy corresponding to the next prediction point includes the reduced distributed photovoltaic units and the reduced power output ratios of the distributed photovoltaic units.

[0139] In addition, if the second control set corresponding to the latter prediction point is the same as the second control set corresponding to the previous prediction point (that is, the controlled distributed photovoltaics contained in the two sets are the same), then the power output ratio of each controlled distributed photovoltaic contained in the second control set corresponding to the latter prediction point can be compared with the power output ratio of the corresponding controlled distributed photovoltaic contained in the second control set corresponding to the previous prediction point to obtain the fourth target distributed photovoltaic with different power output ratios in the two second control sets. The power output ratio of the fourth target distributed photovoltaic is determined according to the fourth target distributed photovoltaic and the second output ratio set corresponding to the fourth target distributed photovoltaic at the latter prediction point, and the distributed photovoltaic group control strategy corresponding to the latter prediction point is determined according to the fourth target distributed photovoltaic and its power output ratio.

[0140] Through the above process, the distributed group scheduling strategy corresponding to the next prediction point can be reasonably and accurately determined.

[0141] The present application also provides a distributed photovoltaic group adjustment method, see Figure 3 , which shows a flow chart of a distributed photovoltaic group adjustment method provided by an embodiment of the present application, which may include:

[0142] S31: Obtaining the distributed photovoltaic group adjustment strategy corresponding to the prediction point; the distributed photovoltaic group adjustment strategy corresponding to the prediction point is generated using any of the above-mentioned distributed photovoltaic group adjustment strategy generation methods;

[0143] S32: regulating the corresponding distributed photovoltaic according to the distributed photovoltaic group regulation strategy corresponding to the prediction point.

[0144] In an embodiment of the present application, after any of the above methods generates a distributed photovoltaic group regulation strategy corresponding to a prediction point, the distributed photovoltaic group regulation strategy corresponding to the prediction point can be obtained, and the corresponding distributed photovoltaic can be regulated at the prediction point based on the obtained distributed photovoltaic group regulation strategy corresponding to the prediction point. Specifically, the corresponding regulated distributed photovoltaic can be regulated according to the regulated distributed photovoltaic and the power output ratio of the regulated distributed photovoltaic contained in the obtained distributed photovoltaic group regulation strategy corresponding to the prediction point, so that the corresponding regulated distributed photovoltaic at the prediction point can connect the generated power to the grid according to the corresponding power output ratio.

[0145] After the above-mentioned method is used to realize group adjustment and control of distributed photovoltaics within a regulation period, that is, after the distributed photovoltaic group adjustment is completed, the regulated distributed photovoltaics can be restored (that is, the power output ratio of the regulated distributed photovoltaics is restored to 1). Specifically, the last corresponding distributed photovoltaic group adjustment strategy can be obtained, and then the regulated distributed photovoltaics are obtained in sequence (specifically, in a first-in-last-out or first-in-first-out manner, etc.), and the power output ratio of the regulated distributed photovoltaics is updated to 1. After that, the aforementioned recovery information can be sent to the device for realizing distributed photovoltaic group adjustment (such as the smart device or control device in the low-voltage area mentioned above), and the device completes the restoration of the regulated distributed photovoltaics according to the aforementioned recovery information, so that all distributed photovoltaics in the low-voltage area can be connected to the Internet outside the regulation period.

[0146] The present application also provides a distributed photovoltaic group adjustment strategy generation device, see Figure 4 , which shows a structural schematic diagram of a distributed photovoltaic group regulation strategy generation device provided by an embodiment of the present application, which may include: a power prediction module 41, used to predict the power generation power of distributed photovoltaics in the low-voltage area, and obtain the predicted power generation power of each distributed photovoltaic at the prediction point; a first acquisition module 42, used to obtain the target regulation power corresponding to the prediction point; a first determination module 43, used to determine the distributed photovoltaic group regulation strategy corresponding to the prediction point according to the predicted power generation power of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point and the distributed photovoltaic group regulation business rules; the distributed photovoltaic group regulation strategy may include regulating the distributed photovoltaics and regulating the power output ratio of the distributed photovoltaics.

[0147] An embodiment of the present application provides a distributed photovoltaic group modulation strategy generation device, and a first determination module 43 may include: a first determination submodule, used to determine the first control set and the first output ratio set corresponding to the first prediction point based on the predicted power generation power of each distributed photovoltaic at the first prediction point, the target control power corresponding to the first prediction point, and the distributed photovoltaic group modulation business rules; the first control set may include the regulated distributed photovoltaics, and the first output ratio set may include the power output ratio corresponding to the regulated distributed photovoltaics; a second determination submodule, used to determine the first control set and the first output ratio set corresponding to the first prediction point as the distributed photovoltaic group modulation strategy corresponding to the first prediction point, and determine the distributed photovoltaic group modulation strategies at the remaining prediction points based on the first control set corresponding to the first prediction point.

[0148] An embodiment of the present application provides a distributed photovoltaic group dispatching strategy generation device, wherein the distributed photovoltaic may include rigid distributed photovoltaic and flexible distributed photovoltaic. A first determination submodule may include: a judgment unit, configured to select a first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group dispatching business rules, update the predicted control power according to the predicted power generation power of the first target distributed photovoltaic at a first prediction point, and determine whether the updated predicted control power is greater than the target control power corresponding to the first prediction point; a first determination unit, configured to, if the updated predicted control power is not greater than the target control power corresponding to the first prediction point, determine the power output ratio of the first target distributed photovoltaic to 0, add the first target distributed photovoltaic and its power output ratio to the first control set and the first output ratio set corresponding to the first prediction point, and return to execute the step of selecting the first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group dispatching business rules; and a second determination unit, configured to, if the updated predicted control power is greater than the target control power corresponding to the first prediction point, determine the power output ratio of the first target distributed photovoltaic according to the type of the first target distributed photovoltaic, and add the first target distributed photovoltaic and its power output ratio to the first control set and the first output ratio set corresponding to the first prediction point.

[0149] An embodiment of the present application provides a distributed photovoltaic group regulation strategy generation device, and the second determination unit may include: a first determination subunit, for determining that the power output ratio of the first target distributed photovoltaic is 0 if the first target distributed photovoltaic is a rigid distributed photovoltaic; a second determination subunit, for determining that if the first target distributed photovoltaic is a flexible distributed photovoltaic, the power output ratio of the first target distributed photovoltaic is determined based on the updated predicted control power, the target control power corresponding to the first prediction point, and the predicted power generation power of the first target distributed photovoltaic at the first prediction point.

[0150] In an embodiment of the present application, a distributed photovoltaic group regulation strategy generating device is provided. The distributed photovoltaic group regulation business rule is that the regulation priority of rigid distributed photovoltaics is higher than the regulation priority of flexible distributed photovoltaics, and that the regulation is carried out in the order of power generation among distributed photovoltaics of the same type. The first determination submodule may further include: a first sorting unit, configured to sort the rigid distributed photovoltaics in descending order of predicted power generation at a first prediction point to obtain a first sorting; a second sorting unit, configured to sort the flexible distributed photovoltaics in descending order of predicted power generation at the first prediction point to obtain a second sorting; and a third sorting unit, configured to arrange the second sorting after the first sorting to obtain a distributed photovoltaic sorting;

[0151] The judgment unit may include: a selection subunit, configured to select a first target distributed photovoltaic from the distributed photovoltaic ranking.

[0152] In a distributed photovoltaic group regulation strategy generation device provided by an embodiment of the present application, the first determination submodule may further include: a removal unit, which is used to remove distributed photovoltaics that failed the last regulation from the distributed photovoltaics before selecting the first target distributed photovoltaics from the distributed photovoltaics according to the distributed photovoltaic group regulation business rules.

[0153] An embodiment of the present application provides a distributed photovoltaic group regulation strategy generation device, and the second determination submodule may include: a third determination unit, which is used to determine the first prediction point as the target prediction point, and obtain the first predicted power generation sum of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point; a fourth determination unit, which is used to compare the first predicted power generation sum with the target regulation power corresponding to the next prediction point, determine the distributed photovoltaic group regulation strategy corresponding to the next prediction point according to the comparison result, and determine the first regulation set corresponding to the next prediction point according to the first regulation set corresponding to the target prediction point and the distributed group regulation strategy corresponding to the next prediction point; a fifth determination unit, which is used to determine the next prediction point as the target prediction point, and return to execute the step of obtaining the first predicted power generation sum of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point.

[0154] The embodiment of the present application provides a distributed photovoltaic group adjustment strategy generation device, and the fourth determination unit may include: a first acquisition subunit, which is used to delete the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group adjustment business rule if the first predicted power generation sum is greater than the target control power corresponding to the next prediction point, and obtain the second predicted power generation sum at the next prediction point after the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point; a first recovery subunit, which is used to restore the power output ratio of the second target distributed photovoltaic to 1 if the second predicted power generation sum is greater than the target control power corresponding to the next prediction point, and return to execute the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group adjustment business rule; a third determination subunit, which is used to determine the power generation sum if the second predicted power generation sum is greater than the target control power corresponding to the next prediction point If the sum of the second predicted power generation rates is less than the target control power corresponding to the next prediction point, then when the second target distributed photovoltaic is a rigid distributed user, the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rules is refused to be executed, and when the second target distributed photovoltaic is a flexible distributed user, the power output ratio of the second target distributed photovoltaic is determined; a second recovery subunit is used to restore the power output ratio of the second target distributed photovoltaic to 1 if the sum of the second predicted power generation powers is equal to the target control power corresponding to the next prediction point; a fourth determination subunit is used to determine the distributed photovoltaic group control strategy corresponding to the next prediction point according to the second target distributed photovoltaic and the corresponding power output ratio, and the set obtained after deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point is used as the first control set corresponding to the next prediction point.

[0155] A distributed photovoltaic group regulation strategy generation device provided by an embodiment of the present application, the fourth determination unit may include: a second acquisition subunit, which is used to select a third target distributed photovoltaic from the remaining distributed photovoltaics according to the distributed photovoltaic group regulation business rules if the first predicted power generation sum is less than the target regulation power corresponding to the next prediction point, add the third target distributed photovoltaic to the first regulation set corresponding to the target prediction point, and obtain the third predicted power generation sum at the next prediction point after the third target distributed photovoltaic is added to the first regulation set corresponding to the target prediction point; the remaining distributed photovoltaics are distributed photovoltaics that are not included in the first regulation set corresponding to the target prediction point; a fifth determination subunit, which is used to determine that the power output ratio of the third target distributed photovoltaic is 0 if the third predicted power generation sum is less than the target regulation power corresponding to the next prediction point. , and returns to execute the step of selecting a third target distributed photovoltaic from the remaining distributed photovoltaic according to the distributed photovoltaic group adjustment business rules; a sixth determining subunit is used to determine the power output ratio of the third target distributed photovoltaic according to the type of the third target distributed photovoltaic if the third predicted power generation sum is greater than the target control power corresponding to the next prediction point; a seventh determining subunit is used to determine that the power output ratio of the third target distributed photovoltaic is 0 if the third predicted power generation sum is equal to the target control power corresponding to the next prediction point; an eighth determining subunit is used to determine the distributed photovoltaic group adjustment strategy corresponding to the next prediction point according to the third target distributed photovoltaic and the corresponding power output ratio, and determine the set obtained by adding the third target distributed photovoltaic to the first control set corresponding to the target prediction point as the first control set corresponding to the next prediction point.

[0156] An embodiment of the present application provides a distributed photovoltaic group modulation strategy generation device, and the first determination module 43 may include: a third determination submodule, used to determine the second control set and the second output ratio set corresponding to each prediction point according to the target control power corresponding to each prediction point, the predicted power generation power of each distributed photovoltaic at the prediction point, and the distributed photovoltaic group modulation business rules; a fourth determination submodule, used to determine the second control set and the second output ratio set corresponding to the first prediction point as the distributed photovoltaic group modulation strategy corresponding to the first prediction point; and a fifth determination submodule, used to compare the second control set corresponding to the latter prediction point with the second control set corresponding to the former prediction point, and determine the distributed photovoltaic group modulation strategy corresponding to the latter prediction point according to the comparison result.

[0157] An embodiment of the present application provides a distributed photovoltaic group modulation strategy generation device, and the fifth determination submodule may include: a sixth determination unit, which is used to determine the distributed photovoltaic group modulation strategy corresponding to the next prediction point according to the added distributed photovoltaic and the corresponding power output power if the second control set corresponding to the next prediction point increases the distributed photovoltaic compared to the second control set corresponding to the previous prediction point; and a seventh determination unit, which is used to determine the distributed photovoltaic group modulation strategy corresponding to the next prediction point according to the reduced distributed photovoltaic and the corresponding power output power if the second control set corresponding to the next prediction point decreases the distributed photovoltaic compared to the second control set corresponding to the previous prediction point.

[0158] The present application also provides a distributed photovoltaic group modulation device, see Figure 5 , which shows a structural schematic diagram of a distributed photovoltaic group modulation device provided in an embodiment of the present application, which may include: a second acquisition module 51, used to obtain the distributed photovoltaic group modulation strategy corresponding to the prediction point; the distributed photovoltaic group modulation strategy corresponding to the prediction point is generated using any of the above-mentioned distributed photovoltaic group modulation strategy generation methods; a control module 52, used to control the corresponding distributed photovoltaic according to the distributed photovoltaic group modulation strategy corresponding to the prediction point.

[0159] An embodiment of the present application also provides an electronic device, which may include: a memory for storing a computer program; a processor for executing the computer program stored in the memory to implement the steps of any of the above-mentioned distributed photovoltaic group regulation strategy generation methods and / or the steps of the above-mentioned distributed photovoltaic group regulation method.

[0160] For the description of the relevant parts of a distributed photovoltaic group modulation method, a distributed group modulation strategy generating device, a distributed photovoltaic group modulation device and an electronic device provided in the embodiments of the present application, please refer to the detailed description of the corresponding parts of a distributed photovoltaic group modulation strategy generating method provided in the embodiments of the present application, and will not be repeated here.

[0161] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0162] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0163] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0164] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0165] In this application, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection; direct connection, or indirect connection through an intermediate medium; internal communication between two elements, or interaction between two elements, unless otherwise specified. Those skilled in the art will understand the specific meanings of the above terms in this application based on specific circumstances.

[0166] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A distributed photovoltaic group dispatching strategy generation method, characterized in that: include: Predicting the power generation of distributed photovoltaics in the low-voltage area to obtain the predicted power generation of each distributed photovoltaic at the prediction point; Obtaining the target control power corresponding to the prediction point; According to the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point and the distributed photovoltaic group control business rules, the distributed photovoltaic group control strategy corresponding to the prediction point is determined; the distributed photovoltaic group control strategy includes controlling the distributed photovoltaic and the power output ratio of the controlled distributed photovoltaic.

2. The distributed photovoltaic group dispatching strategy generation method according to claim 1 is characterized in that: According to the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point and the distributed photovoltaic group adjustment business rules, the distributed photovoltaic group adjustment strategy corresponding to the prediction point is determined, including: According to the predicted power generation of each of the distributed photovoltaics at the first prediction point, the target control power corresponding to the first prediction point and the distributed photovoltaic group control business rules, determine the first control set and the first output ratio set corresponding to the first prediction point; the first control set includes the control distributed photovoltaics, and the first output ratio set includes the power output ratio corresponding to the control distributed photovoltaics; The first control set and the first output ratio set corresponding to the first prediction point are determined as the distributed photovoltaic group adjustment strategy corresponding to the first prediction point, and the distributed photovoltaic group adjustment strategies at the remaining prediction points are determined according to the first control set corresponding to the first prediction point.

3. The distributed photovoltaic group dispatching strategy generation method according to claim 2 is characterized in that: The distributed photovoltaic includes rigid distributed photovoltaic and flexible distributed photovoltaic. According to the predicted power generation of each distributed photovoltaic at the first prediction point, the target control power corresponding to the first prediction point and the distributed photovoltaic group control business rules, the first control set and the first output ratio set corresponding to the first prediction point are determined, including: Select a first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group adjustment business rule, update the predicted control power according to the predicted power generation power of the first target distributed photovoltaic at the first prediction point, and determine whether the updated predicted control power is greater than the target control power corresponding to the first prediction point; If not, the power output ratio of the first target distributed photovoltaic is determined to be 0, the first target distributed photovoltaic and its power output ratio are added to the first control set and the first output ratio set corresponding to the first prediction point, respectively, and the step of selecting the first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group adjustment business rules is returned to execute; If so, determine the power output ratio of the first target distributed photovoltaic according to the type of the first target distributed photovoltaic, and add the first target distributed photovoltaic and its power output ratio to the first regulation set and the first output ratio set corresponding to the first prediction point respectively.

4. The distributed photovoltaic group dispatching strategy generation method according to claim 3 is characterized in that: Determining the power output ratio of the first target distributed photovoltaic system according to the type of the first target distributed photovoltaic system includes: If the first target distributed photovoltaic is a rigid distributed photovoltaic, determining the power output ratio of the first target distributed photovoltaic to be 0; If the first target distributed photovoltaic is a flexible distributed photovoltaic, the power output ratio of the first target distributed photovoltaic is determined according to the updated predicted control power, the target control power corresponding to the first prediction point and the predicted power generation power of the first target distributed photovoltaic at the first prediction point.

5. The distributed photovoltaic group dispatching strategy generation method according to claim 3 is characterized in that: The distributed photovoltaic group adjustment business rule is that the control priority of rigid distributed photovoltaic is higher than the control priority of flexible distributed photovoltaic, and the same type of distributed photovoltaic is adjusted in order of power generation. The distributed photovoltaic group adjustment strategy generation method also includes: The rigid distributed photovoltaics are sorted in descending order according to the predicted power generation at the first prediction point to obtain a first sorting; The flexible distributed photovoltaics are sorted in descending order according to the predicted power generation at the first prediction point to obtain a second sorting; Arranging the second ranking after the first ranking to obtain a distributed photovoltaic ranking; Selecting a first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group dispatching business rule includes: A first target distributed photovoltaic is selected from the distributed photovoltaic ranking.

6. The distributed photovoltaic group dispatching strategy generation method according to claim 3 is characterized in that: Before selecting a first target distributed photovoltaic from the distributed photovoltaic according to the distributed photovoltaic group dispatching business rule, the method further includes: Distributed photovoltaics that failed in the last regulation are eliminated from the distributed photovoltaics.

7. The distributed photovoltaic group dispatching strategy generation method according to any one of claims 2 to 6, characterized in that: Determining the distributed photovoltaic group adjustment strategy at the remaining prediction points according to the first adjustment set corresponding to the first prediction point includes: The first prediction point is determined as the target prediction point, and the sum of the first predicted power generation of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is obtained; Compare the first predicted power sum with the target control power corresponding to the next prediction point, determine the distributed photovoltaic group control strategy corresponding to the next prediction point according to the comparison result, and determine the first control set corresponding to the next prediction point according to the first control set corresponding to the target prediction point and the distributed group control strategy corresponding to the next prediction point; The next prediction point is determined as the target prediction point, and the step of obtaining the sum of the first predicted power generation powers of each regulated distributed photovoltaic in the first regulation set corresponding to the target prediction point at the next prediction point is returned to be executed.

8. The distributed photovoltaic group dispatching strategy generation method according to claim 7 is characterized in that: Determining the distributed photovoltaic group adjustment strategy corresponding to the next prediction point according to the comparison result, and determining the first adjustment set corresponding to the next prediction point according to the first adjustment set corresponding to the target prediction point and the distributed photovoltaic group adjustment strategy corresponding to the next prediction point, including: If the first predicted power sum is greater than the target control power corresponding to the next prediction point, the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rule, and the second predicted power sum at the next prediction point after the second target distributed photovoltaic is deleted from the first control set corresponding to the target prediction point is obtained; If the second predicted power sum is greater than the target control power corresponding to the next prediction point, the power output ratio of the second target distributed photovoltaic is restored to 1, and the process returns to the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group control business rule; If the second predicted power sum is less than the target control power corresponding to the next prediction point, then when the second target distributed photovoltaic is a rigid distributed user, the step of deleting the second target distributed photovoltaic from the first control set corresponding to the target prediction point according to the distributed photovoltaic group adjustment business rule is refused to be executed, and when the second target distributed photovoltaic is a flexible distributed user, the power output ratio of the second target distributed photovoltaic is determined; If the second predicted power sum is equal to the target control power corresponding to the next predicted point, the power output ratio of the second target distributed photovoltaic is restored to 1; The distributed photovoltaic group regulation strategy corresponding to the next prediction point is determined according to the second target distributed photovoltaic and the corresponding power output ratio, and the set obtained by deleting the second target distributed photovoltaic from the first regulation set corresponding to the target prediction point is used as the first regulation set corresponding to the next prediction point.

9. The distributed photovoltaic group dispatching strategy generation method according to claim 7 is characterized in that: Determining the distributed photovoltaic group adjustment strategy corresponding to the next prediction point according to the comparison result, and determining the first adjustment set corresponding to the next prediction point according to the first adjustment set corresponding to the target prediction point and the distributed photovoltaic group adjustment strategy corresponding to the next prediction point, including: If the first predicted power generation sum is less than the target control power corresponding to the next prediction point, a third target distributed photovoltaic is selected from the remaining distributed photovoltaics according to the distributed photovoltaic group control business rule, and the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point, and the third predicted power generation sum at the next prediction point after the third target distributed photovoltaic is added to the first control set corresponding to the target prediction point is obtained; the remaining distributed photovoltaics are distributed photovoltaics not included in the first control set corresponding to the target prediction point; If the third predicted power sum is less than the target control power corresponding to the next predicted point, the power output ratio of the third target distributed photovoltaic is determined to be 0, and the step of selecting the third target distributed photovoltaic from the remaining distributed photovoltaic according to the distributed photovoltaic group adjustment business rules is returned to be executed; If the third predicted power generation sum is greater than the target control power corresponding to the next predicted point, determining the power output ratio of the third target distributed photovoltaic according to the type of the third target distributed photovoltaic; If the third predicted power generation sum is equal to the target control power corresponding to the next predicted point, the third target distributed photovoltaic power output ratio is determined to be 0; The distributed photovoltaic group regulation strategy corresponding to the subsequent prediction point is determined according to the third target distributed photovoltaic and the corresponding power output ratio, and the set obtained by adding the third target distributed photovoltaic to the first regulation set corresponding to the target prediction point is determined as the first regulation set corresponding to the subsequent prediction point.

10. The distributed photovoltaic group dispatching strategy generation method according to claim 1, characterized in that: According to the predicted power generation of each distributed photovoltaic at the prediction point, the target control power corresponding to the prediction point and the distributed photovoltaic group adjustment business rules, the distributed photovoltaic group adjustment strategy corresponding to the prediction point is determined, including: Determine the second control set and the second output ratio set corresponding to each of the prediction points according to the target control power corresponding to each of the prediction points, the predicted power generation of each of the distributed photovoltaics at the prediction point, and the distributed photovoltaic group control business rules; Determine the second control set and the second output ratio set at the first prediction point as the distributed photovoltaic group control strategy corresponding to the first prediction point; The second regulation set corresponding to the next prediction point is compared with the second regulation set corresponding to the previous prediction point, and the distributed photovoltaic group regulation strategy corresponding to the next prediction point is determined according to the comparison result.

11. The distributed photovoltaic group dispatching strategy generation method according to claim 10, characterized in that: The distributed photovoltaic group adjustment strategy corresponding to the next prediction point is determined according to the comparison results, including: If the second control set corresponding to the next prediction point increases the distributed photovoltaics compared to the second control set corresponding to the previous prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the increased distributed photovoltaics and the corresponding power output ratio; If the second control set corresponding to the next prediction point has fewer distributed photovoltaics than the second control set corresponding to the previous prediction point, the distributed photovoltaic group control strategy corresponding to the next prediction point is determined according to the reduced distributed photovoltaics and the corresponding power output ratio.

12. A distributed photovoltaic group modulation method, characterized in that: include: Obtaining a distributed photovoltaic group adjustment strategy corresponding to the prediction point; the distributed photovoltaic group adjustment strategy corresponding to the prediction point is generated by using the distributed photovoltaic group adjustment strategy generation method according to any one of claims 1 to 11; According to the distributed photovoltaic group adjustment strategy corresponding to the prediction point, the corresponding distributed photovoltaic is adjusted.

13. A distributed photovoltaic group dispatching strategy generating device, characterized in that: include: A power prediction module is used to predict the power generation of distributed photovoltaics in the low-voltage area, and obtain the predicted power generation of each distributed photovoltaic at the prediction point; A first acquisition module is used to acquire the target control power corresponding to the prediction point; The first determination module is used to determine the distributed photovoltaic group regulation strategy corresponding to the prediction point according to the predicted power generation power of each distributed photovoltaic at the prediction point, the target regulation power corresponding to the prediction point and the distributed photovoltaic group regulation business rules; the distributed photovoltaic group regulation strategy includes regulating the distributed photovoltaic and the power output ratio of the regulated distributed photovoltaic.

14. A distributed photovoltaic group modulation device, characterized in that: include: A second acquisition module is used to acquire a distributed photovoltaic group adjustment strategy corresponding to a prediction point; the distributed photovoltaic group adjustment strategy corresponding to the prediction point is generated by using a distributed photovoltaic group adjustment strategy generation method as described in any one of claims 1 to 11; The control module is used to control the corresponding distributed photovoltaic according to the corresponding distributed photovoltaic group control strategy at the prediction point.

15. An electronic device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the distributed photovoltaic group dispatching strategy generation method as described in any one of claims 1 to 11 and / or the steps of the distributed photovoltaic group dispatching method as described in claim 12 when executing the computer program.

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