Cooperative control method for new energy power generation and virtual power plant

Abstract

The invention discloses a cooperative control method for new energy power generation and a virtual power plant, and relates to the technical field of power system control, and the method comprises the steps: carrying out the operation data collection of new energy power generation, and obtaining power generation connection data; constructing a virtual regulation and control power plant for new energy power generation to carry out space conversion to obtain a regulation and control power plant space, and carrying out visual conversion on the power generation connection data based on the regulation and control power plant space to obtain a comprehensive power generation change diagram; performing fluctuation quantitative analysis on the comprehensive power generation change diagram to obtain a fluctuation capacity body; the method comprises the following steps: carrying out regulation and control node preprocessing on a fluctuation capacity body by regulating and controlling a power plant space to obtain an additional resource capacity body, carrying out opportunity positioning according to the additional resource capacity body to obtain an electric quantity regulation node, and carrying out intelligent collaborative optimization through the electric quantity regulation node to obtain a power grid balance regulation and control strategy; seamless joint and efficient operation of new energy power generation and an existing power system are achieved, and the reliability of power supply is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system control, in particular to a new energy power generation and virtual power plant collaborative control method. BACKGROUND

[0002] With the transformation of global energy structure and the increasingly serious problem of climate change, new energy power generation technology has been vigorously promoted and rapidly developed by governments around the world. New energy, especially wind and solar energy, has become an important direction for future energy development due to its clean and renewable characteristics. However, new energy power generation systems generally have instability and intermittency problems, which bring challenges to the stable operation of the power system, and traditional thermal power generation and adjustment methods may not be able to adapt, thereby affecting the balance of the entire power system.

[0003] In order to solve the above problems, the concept of virtual power plant has emerged. Virtual power plant can realize the optimization and collaborative control of energy resources, thereby improving the utilization rate of new energy power generation and the stability of the power system. Therefore, it is necessary to study a new energy power generation and virtual power plant collaborative control method, which can optimize the scheduling of new energy power generation by real-time monitoring of the operating state of new energy power generation equipment, combined with energy storage systems and load forecasting, improve power generation efficiency, enhance the adjustment capability of virtual power plant to new energy power generation power fluctuation, reduce the redundant configuration of new energy power generation equipment, and reduce operating costs, which is helpful to promote the rapid development of new energy industry and improve the level of new energy power generation technology in China. SUMMARY

[0004] The purpose of the present application is to provide a new energy power generation and virtual power plant collaborative control method to solve the instability and intermittency problems of new energy power generation systems mentioned in the background.

[0005] A new energy power generation and virtual power plant collaborative control method, comprising the following steps: Step S1: collecting operation data of new energy power generation to obtain power generation connection data, the power generation connection data including new energy power generation data and connection comprehensive data; Step S2: constructing a virtual control power plant for new energy power generation for spatial transformation to obtain a control power plant space, and performing visual transformation on the power generation connection data based on the control power plant space to obtain a comprehensive power generation change graph; Step S3: performing fluctuation analysis on the comprehensive power generation change graph to obtain an abnormal fluctuation section, and performing metric decomposition on the abnormal fluctuation section through the control power plant space to obtain a fluctuation capacity body; Step S4: The fluctuation capacity body is preprocessed by regulating the power plant space to obtain an additional resource capacity body, the additional resource capacity body is used for time positioning to obtain an electric quantity regulation node, the electric quantity regulation node is used for intelligent collaborative optimization to obtain a power grid balance regulation strategy.

[0006] Preferably, the process of collecting operation data of new energy power generation includes: The new energy power generation is monitored and set to obtain a detection collection end, the detection collection end is used for traversal collection to obtain new energy power generation data; The new energy power generation is collected and connected to obtain a connection monitoring end, the connection monitoring end is used for associated collection to obtain connection comprehensive data, the connection comprehensive data includes power grid data, energy storage system data and controllable load data; The new energy power generation data and the connection comprehensive data are recorded as power generation connection data, and the obtained power generation connection data is time marked to obtain collection time.

[0007] Preferably, the process of constructing a virtual regulation power plant for new energy power generation and spatial transformation includes: The virtual regulation power plant is constructed based on new energy power generation, the power generation connection data is virtually modeled based on the virtual regulation power plant to obtain a virtual power generation model; The virtual power generation model is marked and connected based on the virtual regulation power plant to obtain a regulation power plant space, the obtained power generation connection data is uploaded to the regulation power plant space, and the obtained power generation connection data is matched and marked.

[0008] Preferably, the process of visually transforming the power generation connection data includes: A two-dimensional rectangular coordinate system is constructed based on the collection time, and the power generation connection data is uploaded to the two-dimensional rectangular coordinate system; The data is marked by the collection time to obtain a power generation connection node, the obtained power generation connection node is combined to obtain a power generation dynamic curve, and the two-dimensional rectangular coordinate system containing the power generation dynamic curve is marked as a comprehensive power generation change graph.

[0009] Preferably, the process of obtaining the fluctuation capacity body includes: A limited threshold axis is set, the limited threshold axis is uploaded to the comprehensive power generation change graph, the comprehensive power generation change graph is regionally captured by the limited threshold axis to obtain an abnormal fluctuation section; The virtual power generation model is simulated by the regulation power plant space to obtain a dynamic resource capacity body, and the dynamic resource capacity body is uploaded to the corresponding virtual power generation model; The obtained abnormal fluctuation section is capacity-converted to obtain a fluctuation capacity body.

[0010] Preferably, the process of regulating the fluctuation capacity body through the regulation power plant space includes: Obtain an abnormal fluctuation section, extract power generation based on new energy power generation data, and obtain an abnormal power generation section; Obtain a dynamic resource capacity body corresponding to the abnormal power generation section, denoted as a power generation resource capacity body; Based on the regulation power plant space, the power generation resource capacity body is recorded homomorphically through the comprehensive power generation change diagram, and a variable resource capacity body is obtained; Obtain the fluctuation capacity body of the abnormal power generation section, and additionally record the variable resource capacity body to obtain an additional resource capacity body.

[0011] Preferably, the process of obtaining the power grid balance regulation strategy includes: The obtained additional resource capacity body is state-decomposed through the dynamic resource capacity body to obtain an electric quantity regulation capacity body; The obtained electric quantity regulation capacity body is time-captured to obtain an electric quantity regulation node; Based on the regulation power plant space, the virtual power generation model is dynamically optimized through the electric quantity regulation node to obtain the power grid balance regulation strategy.

[0012] Compared with the prior art, the beneficial effects of the present application are: 1. By collecting the operation data of new energy power generation and the related data of the power grid connected by new energy power generation, obtaining power generation connection data, and constructing a regulation power plant space according to the power generation connection data, the output of new energy power generation can be optimized by means of the coordinated control of the virtual power plant, the energy waste caused by fluctuation can be reduced, and the utilization rate of new energy power generation can be improved; 2. In the regulation power plant space, the power generation capacity body is set through the operation model of new energy power generation, the power generation and power consumption of each model in the virtual power plant are dynamically displayed, the power fluctuation of new energy power generation can be directly observed, the most suitable node for electric quantity resource regulation is obtained by fluctuation analysis of the power generation capacity body, intelligent collaborative optimization is carried out, and finally the power grid balance regulation strategy is obtained, which can capture the regulation node position at the fastest speed, so that new energy power generation can be more smoothly connected to the power grid, the power grid acceptance capacity of new energy is improved, the impact on the power grid is reduced, the power grid operation instability caused by the fluctuation of new energy power generation is reduced, and the overall performance of the virtual power plant and the operation efficiency of the power grid are improved. BRIEF DESCRIPTION OF DRAWINGS

[0013] In order to make the technical solutions of the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description only aim to some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort.

[0014] Figure 1 The schematic diagram of the present application.

[0015] Figure 2 The comprehensive power generation change diagram provided by the embodiment of the present application.

[0016] Figure 3 The comprehensive power generation change diagram provided by the embodiment of the present application for marking the threshold axis, the abnormal fluctuation section and the fluctuation section proportion.

[0017] Figure 4 The comprehensive power generation change diagram provided by the embodiment of the present application for marking the fluctuation section proportion. DETAILED DESCRIPTION

[0018] The technical solutions of the present application will be described clearly and completely in combination with the embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort belong to the protection scope of the present application.

[0019] As shown in Figure 1 A new energy power generation and virtual power plant collaborative control method, comprising the following steps: Step S1: collecting operation data of new energy power generation to obtain power generation connection data, wherein the power generation connection data comprises new energy power generation data and connection comprehensive data; Step S2: constructing a virtual regulation power plant for new energy power generation to perform spatial transformation to obtain a regulation power plant space, performing visual transformation on the power generation connection data based on the regulation power plant space to obtain a comprehensive power generation change diagram; Step S3: performing fluctuation analysis on the comprehensive power generation change diagram to obtain an abnormal fluctuation section, performing dimension decomposition on the abnormal fluctuation section through the regulation power plant space to obtain a fluctuation capacity body; Step S4: performing regulation node preprocessing on the fluctuation capacity body through the regulation power plant space to obtain an additional resource capacity body, performing time positioning according to the additional resource capacity body to obtain an electric quantity regulation node, performing intelligent collaborative optimization through the electric quantity regulation node to obtain a power grid balance regulation strategy.

[0020] It needs to be further explained that, in the specific implementation process, due to the volatility and intermittency of new energy power generation, separate access to the power grid may bring challenges to the stability of the power grid, so it is necessary to integrate and coordinate new energy power generation system with other resources in the virtual power plant, balance supply and demand, and improve the accommodation capacity of the power grid to new energy power generation. First, the operation data of new energy power generation is collected to obtain the power generation connection data, and the specific process includes: The monitoring and setting of new energy power generation are performed to obtain a detection collection end. The detection collection end represents selecting a suitable monitoring position on each device in the new energy power generation system and placing the corresponding collection device, i.e. the detection collection end, such as a wind speed sensor, a temperature sensor, and a power monitoring device. The new energy power generation data is obtained by traversing the collection end. The new energy power generation data includes but is not limited to real-time power output, historical power generation data, and weather forecast data of new energy power generation such as wind power and solar power. The connection collection of new energy power generation is performed to obtain a connection monitoring end. The connection collection represents the information collection end set when the new energy power generation needs to be connected to the power grid, which is referred to as the connection monitoring end, including but not limited to information collection of the connected power grid, energy storage system, and user end. The connection comprehensive data is obtained by associated collection through the connection monitoring end. The associated collection represents collecting data information of the power grid, energy storage system, and user end connected to the new energy power generation system through the connection monitoring end, i.e. the connection comprehensive data, including power grid data, energy storage system data, and controllable load data. The power grid data includes but is not limited to real-time load, voltage, and frequency of the power grid. The energy storage system data includes but is not limited to charging and discharging state and remaining capacity. The controllable load data includes power consumption, power consumption mode, and adjustability of the controllable load.

[0021] The obtained new energy power generation data and connection comprehensive data are referred to as power generation connection data, and the obtained power generation connection data is time marked to obtain collection time. The time marking represents the corresponding time point when the corresponding power generation connection data is collected, i.e. the collection time. The obtained power generation connection data is associated with the corresponding collection time.

[0022] A virtual control power plant is constructed for new energy power generation to perform spatial transformation to obtain a control power plant space. Based on the control power plant space, the power generation connection data is visually transformed to obtain a comprehensive power generation change diagram. The specific process includes: A virtual control power plant is constructed based on new energy power generation. The virtual control power plant is a virtual power plant that can accommodate new energy power generation, connected power grid, energy storage system, and controllable load. According to the obtained virtual regulation power plant, the power generation connection data is virtually modeled to obtain a virtual power generation model. The virtual modeling represents that, according to new energy power generation data, power grid data, energy storage system data, and controllable load data included in the power generation connection data, the equipment end corresponding to each data is respectively modeled and converted to obtain a virtual power generation model, that is, a virtual power generation model, including a power generation experiment model, a power grid experiment model, an energy storage experiment model, and a controllable load experiment model. In particular, the structure and function of the virtual power generation model are completely the same as those of the equipment end in reality, except that the virtual power generation model is integrated through the virtual regulation power plant to regulate the resources of each equipment end, so as to solve the instability of the power grid caused by power fluctuation when new energy power generation is connected to the power grid.

[0023] Based on the virtual regulation power plant, the virtual power generation model is marked and connected to obtain a regulation power plant space. The obtained power generation connection data is uploaded to the regulation power plant space, and the obtained power generation connection data is matched and marked. The marked connection represents that the virtual regulation power plant is converted into a virtual space form, and in the converted virtual space, all virtual power generation models are connected according to the actual connection line to obtain a new energy power generation connected power grid system. The matching mark represents that the uploaded power generation connection data is marked at the corresponding virtual power generation model to obtain a regulation power plant space. In particular, in this regulation power plant space, intelligent simulation can be performed through space to balance the volatility of new energy power generation.

[0024] Based on the collection time, a two-dimensional rectangular coordinate system is constructed, and the obtained power generation connection data is uploaded to the two-dimensional rectangular coordinate system. The horizontal axis of the two-dimensional rectangular coordinate system represents the collection time. The data is marked by the collection time to obtain a power generation connection node. The obtained power generation connection node is iterated and combined to obtain a power generation dynamic curve. The two-dimensional rectangular coordinate system containing the power generation dynamic curve is marked as a comprehensive power generation change graph, as shown in Figure 2 The comprehensive power generation change graph is a two-dimensional rectangular coordinate system containing a power generation dynamic curve, t1, t3, t5, t7, … represent the collection time. It needs to be further explained that, in the specific implementation process, the data marking represents that, in the two-dimensional rectangular coordinate system, according to the collection time corresponding to the horizontal axis, the power generation connection data corresponding to each collection time is marked at the corresponding position, and the corresponding position is marked as a power generation connection node, that is, the intersection of the horizontal axis and the vertical axis. The vertical axis represents the data value of the power generation connection data, as shown in Figure 2 The intersection is the power generation connection node. The traversal combination represents connecting two adjacent power generation connection nodes with a smooth curve in a two-dimensional rectangular coordinate system, and finally obtaining a continuous curve, which is recorded as a power generation dynamic curve. In particular, according to the new energy power generation data, grid data, energy storage system data, and controllable load data included in the power generation connection data, the power generation dynamic curve includes the curves corresponding to all the data contained in the power generation connection data, such as the real-time power output dynamic curve of new energy power generation, the real-time load dynamic curve of the grid, and the residual capacity dynamic curve of the energy storage system. Therefore, the comprehensive power generation change graph contains all the curves of the power generation dynamic curve. In this embodiment, Figure 2 The power generation dynamic curve shown is an example of the real-time load dynamic curve of the grid, representing the charge change of residential electricity use within a day.

[0025] The comprehensive power generation change graph is subjected to fluctuation analysis to obtain an abnormal fluctuation section. The abnormal fluctuation section is subjected to dimensional decomposition by regulating the power plant space to obtain a fluctuation capacity body. The specific process includes: A limiting threshold axis is set, which includes a limiting upper limit axis and a limiting lower limit axis, for limiting the fluctuation range of the power generation dynamic curve of the power generation connection data. The limiting threshold axis is a pre-set threshold range. The limiting upper limit axis and the limiting lower limit axis are two straight lines parallel to the horizontal axis of the comprehensive power generation change graph, and the limiting upper limit axis is located above the limiting lower limit axis. The limiting upper limit axis and the limiting lower limit axis are as shown in Figure 3 The obtained limiting threshold axis is uploaded to the comprehensive power generation change graph. The comprehensive power generation change graph is subjected to region capture by the limiting threshold axis to obtain an abnormal fluctuation section. The abnormal fluctuation section includes an excess production section and a shortage production section. The region capture represents marking the limiting threshold axis at the corresponding position of the comprehensive power generation change graph. The power generation dynamic curve is subjected to threshold comparison according to the limiting threshold axis. When there is a part of the curve greater than the limiting upper limit axis or less than the limiting lower limit axis on the power generation dynamic curve, this part of the curve is recorded as an abnormal fluctuation section, as shown in Figure 3 The part of the curve between ta and tb and the part of the curve between tc and td are the abnormal fluctuation sections. The abnormal fluctuation section includes an excess production section and a shortage production section. The excess production section represents the part of the curve greater than the limiting upper limit axis on the power generation dynamic curve, as shown in Figure 3 The part of the power generation dynamic curve between ta and tb is the excess production section. The shortage production section represents the part of the curve less than the limiting lower limit axis on the power generation dynamic curve, and the part of the power generation dynamic curve between tc and td is the shortage production section. The comprehensive power generation change graph is subjected to fluctuation statistics according to the obtained abnormal fluctuation section to obtain a fluctuation section ratio. The fluctuation section ratio includes an excess wave section ratio and a shortage wave section ratio.​ It needs to be further explained that, in the specific implementation process, the fluctuation statistics process includes: According to the acquisition time corresponding to the power generation connection nodes at both ends of the abnormal fluctuation section, the section duration is obtained, which represents the time length occupied by the abnormal fluctuation section, as shown in the following formula: Figure 3 That is, the time period between ta and tb and the time period between tc and td; According to the obtained section duration and the abnormal fluctuation section, the fluctuation section ratio is obtained, which represents the area surrounded by the abnormal fluctuation section and the section duration within the section duration; in particular, taking the time period between tc and td as an example, the area surrounded by the time period between tc and td and the shortage production section is as shown in the following formula: Figure 4 The black area part is the fluctuation section ratio; According to the fact that the abnormal fluctuation section includes the excess production section and the shortage production section, there can be several excess production sections and shortage production sections on one power generation dynamic curve, then the fluctuation section ratio also includes the excess wave section ratio and the shortage wave section ratio, wherein the excess wave section ratio represents the area surrounded by the excess production section and the section duration, and the shortage wave section ratio represents the area surrounded by the shortage production section and the section duration, that is, Figure 4 The area region marked in the figure.

[0026] The capacity simulation of the virtual power generation model is performed by regulating the power plant space to obtain a dynamic resource capacity body; The capacity simulation means that a three-dimensional virtual capacity body that can change in volume is constructed for each virtual power generation model in the regulated power plant space, which changes flexibly according to the power change of the virtual power generation model. In this embodiment, the performance form of the capacity body is a cylinder, and the volumes and sizes of the cylinders of all virtual power generation models are completely the same in the initial state, which means that the new energy power generation is not in operation, and the resources of the power generation experiment model, the power grid experiment model, the energy storage experiment model, and the controllable load experiment model are balanced in the initial state. For example, the dynamic resource capacity bodies of the power generation experiment model, the power grid experiment model, the energy storage experiment model, and the controllable load experiment model are completely the same, and are respectively associated with the power generation experiment model, the power grid experiment model, the energy storage experiment model, and the controllable load experiment model. The obtained dynamic resource capacity body is uploaded to the corresponding virtual power generation model; The obtained abnormal fluctuation section is converted into a fluctuation capacity body; The capacity conversion represents that the abnormal fluctuation section is also converted into the capacity body form in the same form of the dynamic resource capacity body, the fluctuation section proportion accounts for the proportion of the entire power generation dynamic curve, the section total quantity proportion is obtained, and the section total quantity proportion is converted in proportion to the volume of the dynamic resource capacity body, and the fluctuation capacity body, that is, the proportion of the capacity body of the abnormal fluctuation section to the dynamic resource capacity body, is obtained; wherein the section total quantity proportion represents that the area sum of the closed figure surrounded by the limited upper limit axis and the limited lower limit axis of the threshold axis and the power generation dynamic curve is obtained to obtain the power generation dynamic total quantity, and then the section total quantity proportion = The fluctuation capacity body corresponding to the proportion of the abnormal fluctuation section is obtained by converting the section total quantity proportion and the dynamic resource capacity body; in the embodiment, the fluctuation capacity body is also a cylindrical body, and the cylindrical body diameter is completely the same as the dynamic resource capacity body, only the height is different.

[0027] The fluctuation capacity body is preprocessed by regulating the power plant space to obtain an additional resource capacity body, the power grid balancing regulation strategy is obtained by regulating the power grid balancing regulation strategy, and the specific process includes: Obtain the abnormal fluctuation section, and extract the power generation of the abnormal fluctuation section based on the new energy power generation data to obtain the power generation abnormal section; The power generation extraction represents that the abnormal fluctuation section corresponding to the new energy power generation data is recorded as the power generation abnormal section in the comprehensive power generation change graph, which represents the abnormal fluctuation section monitored in the new energy power generation process; Obtain the dynamic resource capacity body corresponding to the abnormal power generation section, which is recorded as the power generation resource capacity body, which represents the dynamic resource capacity body of the power generation experiment model; Based on the regulation of the power plant space, the power generation resource capacity body is homomorphically recorded by the comprehensive power generation change graph to obtain the variable resource capacity body; The homomorphic recording represents that in the regulation of the power plant space, according to the new energy power generation, the corresponding power grid experiment model, the energy storage experiment model and the controllable load experiment model all have corresponding power changes, and then the corresponding dynamic resource capacity body has volume change, which only changes the capacity body height without changing the diameter, and records the power generation resource capacity body of each collection time to obtain the variable resource capacity body; Obtain the fluctuation capacity body of the power generation abnormal section, and additionally record the variable resource capacity body to obtain the additional resource capacity body; The additional recording represents that the variable resource capacity body of each collection time is obtained, and a fluctuation capacity body is added or subtracted from the variable resource capacity body to obtain the additional resource capacity body; The state of the obtained additional resource capacity is decomposed by a dynamic resource capacity to obtain an electricity adjustment capacity, the electricity adjustment capacity including a power supplement resource capacity and a power consumption resource capacity; It needs to be further explained that, in the specific implementation process, according to the additional record “add a fluctuation capacity or subtract a fluctuation capacity”, the state of the additional resource capacity can be divided into two results, that is, the power supplement resource capacity and the power consumption resource capacity, which is recorded as the electricity adjustment capacity; wherein “add a fluctuation capacity” means that the variable resource capacity is equal to the dynamic resource capacity after adding the volume of a fluctuation capacity, and the decomposition result of the additional resource capacity is recorded as the power consumption resource capacity, which means that at this time, the power generation of the power generation experiment model is continuously increasing, and will reach the balance state at the next collection time, that is, equal to the dynamic resource capacity, if the power generation continues, the power generation of the power generation experiment model will exceed the grid demand, and the power will be unstable, which is easy to impact the grid, at this time, the energy storage experiment model and the controllable load experiment model need to be controlled to increase the energy storage or increase the power consumption to balance the power fluctuation; “subtract a fluctuation capacity” means that the variable resource capacity is equal to the dynamic resource capacity after subtracting the volume of a fluctuation capacity, and the decomposition result of the additional resource capacity is recorded as the power supplement resource capacity, at this time, the power generation of the power generation experiment model is continuously decreasing, and will reach the balance state at the next collection time, that is, equal to the dynamic resource capacity, if the power generation continues, the power generation of the power generation experiment model will be lower than the grid demand, which will reduce the power supply to the grid, causing voltage and frequency instability, then the energy storage experiment model and the controllable load experiment model need to be controlled to reduce the power consumption and supplement the stored energy to the grid to balance the grid fluctuation; The obtained electricity adjustment capacity is time captured to obtain an electricity adjustment node, the electricity adjustment node including a power supplement node and a power consumption node; The time capture means that the adjustment node of the virtual power generation model is determined according to the electricity adjustment capacity, which is recorded as the electricity adjustment node, which means that after reaching the electricity adjustment node, the virtual power generation model needs to be adjusted to stabilize the operation state of the grid, then this electricity adjustment node is recorded as the best adjustment node; Further, according to “the additional record means that the variable resource capacity at each collection time is obtained, a fluctuation capacity is added or subtracted from the variable resource capacity to obtain an additional resource capacity”, the electricity adjustment node is the time point of adding or subtracting a fluctuation capacity; Since the additional resource capacity is obtained by adding or subtracting a fluctuation capacity at the variable resource capacity, the point where there is a fluctuation capacity volume away from the variable resource capacity is recorded as the power adjustment node. That is, when the variable resource capacity changes with the acquisition time, once a fluctuation capacity volume away from the next acquisition time is captured, the current time is recorded as the power adjustment node, that is, the virtual power generation model is coordinated and controlled at this node. Since the power regulation capacity includes the power replenishment resource capacity and the power consumption resource capacity, the power regulation node includes the power replenishment node and the power consumption node. The power replenishment node indicates that when the power regulation capacity reaches the power replenishment resource capacity, the virtual generation model is adjusted to reduce power consumption. The power consumption node indicates that when the power regulation capacity reaches the power consumption resource capacity, the virtual generation model is adjusted to increase power consumption to alleviate the impact of excessive power on the power grid. Based on the control of power plant space, the virtual power generation model is dynamically optimized through power regulation nodes to obtain the power grid balance control strategy; It should be further explained that, in the specific implementation process, the dynamic optimization refers to adjusting the virtual power generation model according to the acquired power adjustment node. That is, adjusting the resource usage of the energy storage experimental model and the controllable load experimental model at the optimal adjustment node to ensure that the power generation experimental model is in a continuous and stable state when connected to the grid experimental model, without causing fluctuations or intermittents. For example, when the power adjustment node is a power consumption node, it means that the power generation of the power generation experimental model exceeds the demand of the grid experimental model. In this case, the power is stored through the energy storage experimental model. When the power storage reaches the dynamic resource capacity of the grid experimental model, a power consumption command is issued to the controllable load experimental model to activate the controllable load experimental model to consume power. The adjustment process of the virtual power generation model in the controllable power plant space is recorded to obtain the grid balance control strategy. When the power regulation node is a supplementary power node, it indicates that the power generation of the power generation experimental model does not meet the needs of the power grid experimental model. In this case, the stored electrical energy is released through the energy storage experimental model, and the dynamic resource capacity of the energy storage experimental model is reached in the variable resource capacity volume. At that time, an energy-saving command is issued to the controllable load experimental model, that is, to reduce the use of the controllable load experimental model or to directly shut down the controllable load experimental model, and to record the adjustment process of the virtual generation model in the control power plant space, so as to obtain the grid balance control strategy, among which, "to achieve dynamic resource capacity body "This indicates that when the released stored electrical energy reaches a certain percentage, it is necessary to mobilize the controllable load experimental model for dual power replenishment in order to maintain the stable operation of the power grid experimental model. m is a positive integer greater than 1.

[0028] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to provide the best illustration of the application and its practical application to those skilled in the art and to enable those skilled in the art to best utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A method for coordinated control of new energy power generation and virtual power plant, characterized in that, The method comprises the following steps: Step S1: collecting operation data of new energy power generation to obtain power generation connection data, the power generation connection data comprising new energy power generation data and connection comprehensive data; Step S2: constructing a virtual regulation power plant for new energy power generation to perform spatial conversion to obtain a regulation power plant space, and performing visual conversion on the power generation connection data based on the regulation power plant space to obtain a comprehensive power generation change graph; Step S3: performing fluctuation analysis on the comprehensive power generation change graph to obtain an abnormal fluctuation section, and performing dimensional decomposition on the abnormal fluctuation section through the regulation power plant space to obtain a fluctuation capacity body; Step S4: performing regulation node preprocessing on the fluctuation capacity body through the regulation power plant space to obtain an additional resource capacity body, positioning a time according to the additional resource capacity body to obtain an electric quantity regulation node, and performing intelligent collaborative optimization through the electric quantity regulation node to obtain a power grid balance regulation strategy.

2. The method according to claim 1, characterized in that, The process of collecting operation data of new energy power generation comprises: monitoring and setting new energy power generation to obtain a detection and collection end, and performing traversal collection through the detection and collection end to obtain new energy power generation data; collecting connection of new energy power generation to obtain a connection monitoring end, and performing associated collection through the connection monitoring end to obtain connection comprehensive data, the connection comprehensive data comprising power grid data, energy storage system data and controllable load data; the new energy power generation data and the connection comprehensive data are recorded as power generation connection data, and the obtained power generation connection data is time-labeled to obtain collection time.

3. The method according to claim 1, characterized in that, The process of constructing a virtual regulation power plant for new energy power generation to perform spatial conversion comprises: constructing a virtual regulation power plant based on new energy power generation, and virtually modeling the power generation connection data according to the virtual regulation power plant to obtain a virtual power generation model; labeling connection of the virtual power generation model based on the virtual regulation power plant to obtain a regulation power plant space, uploading the obtained power generation connection data to the regulation power plant space, and performing matching labeling on the obtained power generation connection data.

4. The method according to claim 2, characterized in that, The process of performing visual conversion on the power generation connection data comprises: constructing a two-dimensional rectangular coordinate system based on the collection time, uploading the power generation connection data to the two-dimensional rectangular coordinate system; labeling data through the collection time to obtain power generation connection nodes, performing traversal combination on the obtained power generation connection nodes to obtain a power generation dynamic curve, and labeling the two-dimensional rectangular coordinate system containing the power generation dynamic curve as a comprehensive power generation change graph.

5. The method according to claim 3, characterized in that, The process of obtaining a fluctuation capacity body comprises: setting a limited threshold axis, uploading the limited threshold axis to the comprehensive power generation change graph, capturing the comprehensive power generation change graph through the limited threshold axis to obtain an abnormal fluctuation section; performing capacity simulation on the virtual power generation model through the regulation power plant space to obtain a dynamic resource capacity body, and uploading the dynamic resource capacity body to the corresponding virtual power generation model; performing capacity conversion on the obtained abnormal fluctuation section to obtain a fluctuation capacity body.

6. The method according to claim 5, wherein, The process of performing regulation node preprocessing on the fluctuation capacity body through the regulation power plant space comprises: obtaining an abnormal fluctuation section, extracting power generation from the abnormal fluctuation section based on new energy power generation data to obtain an abnormal power generation section; obtaining a dynamic resource capacity body corresponding to the abnormal power generation section, recorded as a power generation resource capacity body; Based on regulating power plant space, a change graph of power generation is integrated to record a homomorphic resource capacity body, and a variable resource capacity body is obtained; A fluctuation capacity body of a power generation abnormal section is obtained, and an additional resource capacity body is obtained by additional recording of the variable resource capacity body.

7. The method according to claim 6, wherein, The process of obtaining a power grid balance regulation strategy includes: A power adjustment capacity body is obtained by state decomposition of the obtained additional resource capacity body through a dynamic resource capacity body; A power adjustment node is obtained by time capture of the obtained power adjustment capacity body; Based on regulating power plant space, a virtual power generation model is dynamically optimized through the power adjustment node, and a power grid balance regulation strategy is obtained.

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