Priority cooperative control method, device and computer equipment

Abstract

The application discloses a priority cooperative control method and device and a computer device, and belongs to the technical field of power distribution network operation and control. The method comprises the following steps: collecting electrical operation parameters of each phase; predicting an out-of-limit risk arrival time window according to the electrical operation parameters of each phase; selecting each control action in a control action set as a target control action sequence, which satisfies a preset response time condition, according to the out-of-limit risk arrival time window and an action response delay set corresponding to the control action set; selecting a preset number of target control actions from the target control action sequence, and issuing a control instruction to electrical equipment corresponding to the preset number of target control actions. The technical scheme of the application only selects actions that can take effect before the out-of-limit occurs, dynamically sorts candidate actions based on unit time adjustment effects, effectively avoids response lag and invalid actions existing in traditional fixed sequence control, and realizes fast and stable control of rural high photovoltaic area power quality.

Description

Technical Field

[0001] This application relates to the field of power distribution network operation and control technology, and in particular to a priority coordinated control method, device and computer equipment. Background Technology

[0002] With the large-scale integration of distributed photovoltaic (PV) systems in rural areas, rural distribution transformer substations are gradually becoming the core units for renewable energy consumption. Due to the common characteristics of rural substations, such as long lines, high impedance, and low load density, a large proportion of PV power is fed back into the substation under clear weather conditions. This can easily lead to voltage increases, busbar overload, and increased voltage fluctuations, as well as the transformer operating point repeatedly oscillating between light and heavy loads, resulting in increasingly prominent power quality problems.

[0003] In current engineering practice, rural distribution transformer areas primarily rely on hierarchical sequential control strategies to handle voltage exceedance and overload risks. For example, triggering actions sequentially based on whether monitored quantities exceed thresholds and their duration. However, due to significant differences in response delays between different actions—for instance, adjusting voltage levels can take several minutes to take effect, while photovoltaic reactive power support and power limiting can be completed within seconds—sequential control often suffers from response lag, ineffective pre-action actions, and missed intervention opportunities in high-PV scenarios. Another technology relies on the local autonomous control of PV inverters, such as Volt-Var (Voltage-Reactive Power Control) and Volt-Watt (Voltage-Active Power Control) curve control. While offering rapid adjustment capabilities, its adjustment range is limited, and it lacks coordination with load and energy storage, making it difficult to independently address persistent voltage exceedance issues under high penetration conditions. Therefore, it is necessary to propose a novel control method that combines exceedance trends, action response characteristics, and resource synergy to enable rural distribution transformer areas to achieve faster and more effective power quality management under high PV access conditions. Summary of the Invention

[0004] To address the problems of existing technologies, such as reliance on hierarchical sequential control strategies, response lag, limited adjustment range, and lack of coordination with load and energy storage, this application mainly provides a priority coordinated control method, a priority coordinated control device, and a computer equipment.

[0005] To achieve the above objectives, the first technical solution adopted in this application is: a priority collaborative control method for large-scale reporting data in the manufacturing industry, comprising: collecting electrical operating parameters of each phase; predicting the arrival time window of over-limit risks based on the electrical operating parameters of each phase; selecting each control action that meets the preset response time condition from the control action set according to the arrival time window of over-limit risks and the action response delay set corresponding to the control action set, as a target control action sequence; selecting a preset number of target control actions from the target control action sequence, and issuing control commands to the electrical equipment corresponding to the preset number of target control actions.

[0006] Optionally, based on the arrival time window of the risk exceeding the limit and the action response delay set corresponding to the control action set, each control action that meets the preset response time condition is selected from the control action set as the target control action sequence, including: determining each control action in the control action set whose corresponding action response delay is less than the arrival time window of the risk exceeding the limit as the target control action set; and determining the target control action sequence based on the target control action set.

[0007] Optionally, based on the target control action set, the target control action sequence is determined, including: determining the ratio of each adjustment effect corresponding to the target control action set to the corresponding action response delay as an efficiency index to obtain an efficiency index set; and sorting the target control action set according to the magnitude of each efficiency index in the efficiency index set to obtain the target control action sequence.

[0008] Optionally, a preset number of target control actions are selected from the target control action sequence, and control instructions are sent to the electrical equipment corresponding to the preset number of target control actions, including: selecting the first preset number of target control actions from the target control action sequence; and controlling the electrical equipment corresponding to the first preset number of target control actions to perform control actions.

[0009] Optionally, before selecting each control action that meets the preset response time condition from the control action set as the target control action sequence, based on the time window of the risk exceeding the limit and the action response delay set corresponding to the control action set, the method further includes: determining the operating status and control authority of each electrical device; generating a control action set and a corresponding action response delay set and adjustment effect set based on the operating status, control authority, and historical readback data, wherein each control action in the control action set corresponds to an action response delay and an adjustment effect.

[0010] Optionally, based on the operating status, control permissions, and historical readback data, a set of control actions, a set of action response delays for the corresponding control action sets, and a set of adjustment effects are generated. This includes: selecting each preset control action that meets the control permission conditions from the preset set of control actions based on the control permissions, and using it as a set of control actions; and generating a set of action response delays and a set of adjustment effects for the corresponding control action sets based on the operating status and historical readback data.

[0011] Optionally, after selecting a preset number of target control actions from the target control action sequence and issuing control commands to the electrical equipment corresponding to the preset number of target control actions, the method further includes: collecting updated electrical operating parameters for each phase again; determining whether there is a risk in the updated electrical operating parameters for each phase; and updating the action response time set in response to determining that there is no risk in the updated electrical operating parameters for each phase.

[0012] Optionally, based on the electrical operating parameters of each phase, the arrival time window of the over-limit risk is predicted, including: performing linear regression on the electrical operating parameters of each phase using a sliding regression algorithm to obtain the parameter change rate of the corresponding electrical operating parameters; and predicting the arrival time window of the over-limit risk based on the parameter change rate.

[0013] The second technical solution adopted in this application is: a priority collaborative control device, comprising: a data acquisition module for acquiring electrical operating parameters of each phase; a prediction module for predicting the arrival time window of over-limit risks based on the electrical operating parameters of each phase; a control action screening module for selecting each control action that meets the preset response time condition from the control action set based on the arrival time window of the over-limit risks and the action response delay set corresponding to the control action set, as a target control action sequence; and a control command issuing module for selecting a preset number of target control actions from the target control action sequence and issuing control commands to the electrical equipment corresponding to the preset number of target control actions.

[0014] The third technical solution adopted in this application is: a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the priority coordination control device in the first solution.

[0015] The beneficial effects of the technical solution presented in this application are as follows: When applied, this technical solution introduces a "limit exceedance risk time window" prediction for the first time. By comparing the action delay with the predicted time window, only actions that can effectively take effect before the limit exceedance occurs are selected. Furthermore, candidate actions are dynamically ranked based on their adjustment effect per unit time, thus forming a time window gating and dynamic priority collaborative control mechanism. This effectively avoids the response lag and invalid actions present in traditional fixed-sequence control, achieving rapid and stable control of power quality in rural high-PV areas. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a specific embodiment of a priority collaborative control method according to this application; Figure 2 This is a flowchart of a specific embodiment of a priority collaborative control method according to this application; Figure 3 This is a schematic diagram of a specific embodiment of a priority coordination control device according to this application.

[0018] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0019] The preferred embodiments of this application will now be described in detail with reference to the accompanying drawings, so that the advantages and features of this application can be more easily understood by those skilled in the art, thereby providing a clearer and more definite definition of the scope of protection of this application.

[0020] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0021] The technical solution of this application and how it solves the above-mentioned technical problems will be described in detail below with specific embodiments. The specific embodiments described below can be combined with each other to form new embodiments. The same or similar ideas or processes described in one embodiment may not be repeated in other embodiments.

[0022] Figure 1 This is a flowchart illustrating a specific embodiment of a priority collaborative control method according to this application.

[0023] Figure 2 This is a flowchart of a specific embodiment of a priority collaborative control method according to this application.

[0024] exist Figure 1 In the specific implementation shown, the priority collaborative control method of this application includes: Step S101: Collect electrical operating parameters for each phase.

[0025] In one specific embodiment of this application, the executor of the priority collaborative control method (e.g., a smart energy management terminal) can collect the electrical operating parameters of each phase in real time. These electrical operating parameters may include, but are not limited to, voltage, current, oil temperature, active power, and power direction.

[0026] Step S102: Based on the electrical operating parameters of each phase, predict the time window for the risk of exceeding the limit.

[0027] In one specific embodiment of this application, the executing entity can predict the arrival time window of the over-limit risk based on the rate of change of the electrical operating parameters of each phase. The arrival time window of the over-limit risk can be the time required for the current state to develop to the over-limit threshold. This can be understood as the time difference between the current time point and the predicted time point of risk arrival. Specifically, firstly, the executing entity can preprocess the electrical operating parameters of each phase using data preprocessing methods such as data standardization and normalization algorithms to obtain preprocessed electrical operating parameters for each phase. Then, the executing entity can calculate the rate of change of the preprocessed electrical operating parameters of each phase, predict whether a risk exists, and predict the arrival time window of the over-limit risk when a risk is predicted.

[0028] In one optional implementation of a specific embodiment of this application, such as Figure 2 As shown, the aforementioned executing entity can predict the time window for exceeding limits based on the electrical operating parameters of each phase by performing the following steps: The first step is to perform linear regression on the electrical operating parameters of each phase using a sliding regression algorithm to obtain the rate of change of each corresponding electrical operating parameter. Specifically, the execution entity performs least-squares linear regression on key electrical operating parameters such as voltage, active power, and transformer load rate within a sliding window to obtain the rate of change of each parameter. The length of the sliding window is the most recent N sampling periods, where N can be an integer between 10 and 30, and the sampling period can be 1 second or 2 seconds.

[0029] Taking voltage as an example, let the voltage sequence collected within the sliding window be... The corresponding timestamp sequence is Then the rate of change of voltage Calculated using the following least squares linear regression formula: , Similarly, the rate of change of active power can be calculated separately. and transformer load rate change rate .

[0030] The second step is to predict the time window when the risk of exceeding the limit will arrive, based on the rate of change of parameters.

[0031] Specifically, based on the direction and value of the parameter change rate, the following risk scenarios can be identified: (1) When the rate of change of voltage When this occurs, it indicates that the voltage is trending upwards, posing a risk of exceeding the voltage limit; when... Furthermore, when the current voltage is close to the lower limit threshold, there is a risk of the voltage exceeding the lower limit.

[0032] (2) When the load rate changes When this occurs, it indicates that the transformer load is continuously increasing, posing a risk of transformer overload.

[0033] (3) When the rate of change of active power Furthermore, when the power direction is already in reverse, it indicates that the reverse power is continuously increasing, posing a risk of exceeding the reverse power limit.

[0034] If the direction of the rate of change is far from the corresponding threshold (e.g.) If the current voltage is not close to the lower limit, then the parameter is determined to have no risk of exceeding the limit.

[0035] After confirming the existence of risk, the arrival time of exceeding the limit for each parameter is calculated based on the rate of change of each parameter and its corresponding over-limit threshold. Taking voltage as an example, when... At that time, the voltage over-limit arrival time is: , in, This is the upper limit threshold for voltage (e.g., 1.07 pu). This is the current voltage value. When... When this time, it indicates that the voltage has no tendency to exceed its upper limit, and the corresponding... Let it be infinity.

[0036] Similarly, regarding the risk of transformer overload, when the rate of change of load factor... At that time, the overload arrival time is: , in, This is the overload threshold (e.g., 110% of the rated capacity). This represents the current load rate value.

[0037] Finally, the minimum value among the arrival times of each parameter exceeding the limit is taken as the comprehensive arrival time window for the risk of exceeding the limit: , thus, This reflects the arrival time of the most pressing risk. The method for determining the risk arrival time is: based on the current moment... Based on this, plus the comprehensive risk arrival time window for exceeding limits, i.e., the risk arrival time point is... .

[0038] As an example, when the current voltage value is 1.06 pu, the upper limit threshold is 1.07 pu, and the voltage change rate is 0.002 pu / s, then: , If the current transformer load rate is 85%, the overload threshold is 110%, and the load rate change rate is 0.5% / s, then: , Take at this time If the risk arrival time is 5 seconds after the current moment, it indicates that the voltage over-limit risk is the most urgent, and the system should prioritize responding to the voltage risk. If the rate of change of all parameters indicates no over-limit trend (i.e., the direction of change of the rate of change is far away from the threshold), then it is determined that there is no risk at present, and the system enters the normal monitoring state.

[0039] Step S103: Based on the time window for the risk of exceeding the limit and the action response delay set corresponding to the control action set, select each control action that meets the preset response time condition from the control action set as the target control action sequence.

[0040] In one specific embodiment of this application, the executing entity can select control actions that meet a preset response time condition from the control action set based on the time window for the arrival of the out-of-limit risk and the action response delay set corresponding to the control action set, as the target control action sequence. The action response delay can be the time period after a control action receives a control command and takes effect, characterizing the speed at which the control action takes effect. The preset response time condition can be that the corresponding action response delay is less than the time window for the arrival of the out-of-limit risk. Specifically, the executing entity can estimate the action response delay of each control action based on readback data, then select control actions from the control action set whose corresponding action response delay is less than the time window for the arrival of the out-of-limit risk, and sort the control actions to obtain the target control action sequence.

[0041] In one optional implementation of a specific embodiment of this application, such as Figure 2As shown, the aforementioned execution entity can select each control action that meets the preset response time condition from the control action set by performing the following steps, based on the time window of the risk exceeding the limit and the action response delay set corresponding to the control action set, as the target control action sequence: The first step is to identify the target control action set as each control action whose corresponding action response delay is less than the time window for the risk of exceeding the limit. Then, by comparing the action response delay with the time window for the risk of exceeding the limit, only control actions that can effectively take effect before the limit exceeds the limit are selected.

[0042] The second step is to determine the target control action sequence based on the target control action set.

[0043] Furthermore, if the response delay of each action in the control action set is greater than the time window for the risk of exceeding the limit, emergency operations can be performed. For example, fast protection actions such as limiting the number of trigger actions or limiting the impulse can be directly triggered.

[0044] In one optional implementation of a specific embodiment of this application, such as Figure 2 As shown, the aforementioned executing entity can determine the target control action sequence based on the target control action set by performing the following steps: The first step is to determine the ratio of each adjustment effect to the corresponding action response delay in the target control action set as an efficiency index, thus obtaining an efficiency index set. Here, the adjustment effect can be the value of the control action's effect on adjusting and controlling the risk, used to characterize the strength of the control action.

[0045] The second step involves sorting the target control action set according to the magnitude of each efficiency indicator in the efficiency indicator set, thus obtaining the target control action sequence. Specifically, the executing entity can sort the target control action set in descending order according to the magnitude of each efficiency indicator to obtain the target control action sequence. Therefore, candidate actions are dynamically sorted based on the adjustment effect per unit time, thereby forming a time window gating and dynamic priority collaborative control mechanism.

[0046] In an optional implementation of a specific embodiment of this application, the execution entity can perform the following steps to filter out a preset number of target control actions from the target control action sequence and issue control commands to the electrical equipment corresponding to the preset number of target control actions: The first step is to select the first preset number of target control actions from the target control action sequence. Specifically, the executing entity can select the first N target control actions from the target control action sequence. In practice, the first 1-2 target control actions are usually selected.

[0047] The second step involves controlling the electrical equipment corresponding to a pre-set number of target control actions to perform those actions. Specifically, the executing entity can issue control commands through standard communication interfaces (OCPP (Open Charge Point Protocol), Modbus protocol, CAN (Controller Area Network)) to coordinate the control actions of the pre-set number of target control actions.

[0048] As an example, a certain transformer substation has a capacity of 400kVA, connected to a 120kW photovoltaic system, and 12 charging piles. The monitored voltage is 1.06 pu, with an upper limit of 1.07 pu and a rise rate of 0.002 pu / s. Then, predict... =35s.

[0049] The parameters of each action response model are as follows:

[0050] After screening, only [the following] were retained. The system selects the two actions with the highest scores (PV power limiting, PV reactive power support, and power limiting) and executes them concurrently. Within 10 seconds after control, the voltage drops to 1.03 pu, reducing the response time by approximately 90% and the number of actions by about one-third compared to traditional fixed-sequence control.

[0051] Optionally, before selecting each control action that meets the preset response time condition from the control action set as the target control action sequence based on the time window of the risk exceeding the limit and the action response delay set corresponding to the control action set, the method further includes: The first step is to determine the operating status and control permissions of each electrical device. These devices can be photovoltaic inverters, charging piles, energy storage, or capacity regulation equipment. Specifically, the implementing entity can collect the operating status and control permissions of each electrical device. The purpose of collecting this information is: On the one hand, the operating status determines whether the equipment currently has adjustment space and the range of adjustment. For example, the operating status of a photovoltaic inverter includes parameters such as current active power output, reactive power output, and rated capacity. Only when the current active power output of the photovoltaic inverter is greater than zero is there room for power limiting adjustment. The operating status of an energy storage system includes parameters such as current state of charge (SOC) and rated power. Only when the SOC of the energy storage is not full can the control action of charging power absorption be executed. The operating status of a charging pile includes parameters such as current charging power, charging mode, and whether it is online. Only when the charging pile is in online charging state can the conditions for power limiting adjustment be met.

[0052] On the other hand, control permissions are used to indicate whether the device authorizes the distribution terminal to remotely control it. In actual engineering, some distributed resources may not allow the distribution terminal to issue control commands to them due to user protocol restrictions, equipment maintenance status, or lack of communication protocol support.

[0053] Therefore, only electrical equipment that simultaneously meets the requirements of having adjustable operating conditions and having control permissions enabled is included in the subsequent control action set. This screening process avoids issuing invalid control commands to equipment that is unresponsive or lacks adjustment margin, thereby improving control efficiency and ensuring system safety.

[0054] The second step involves generating a set of control actions, along with corresponding action response delay sets and adjustment effect sets, based on the operating status, control permissions, and historical readback data. In practice, each control action corresponding to an electrical device that meets the requirements of having adjustment space in its operating status and having control permissions enabled is defined as a control action set. Each control action in the set corresponds to an action response delay and an adjustment effect. Historical readback data can include the response delays and effects of each historical action. The historical action response delay can be the response time period when a previous control action was executed. The historical adjustment effect can be the effectiveness value of the previous control action in adjusting control risks.

[0055] Specifically, establish a response delay for each control action. With adjustment effect The model includes the following steps: (a) Initialize default parameters and run according to the default parameters. For each control action, preset the default response delay. And the default adjustment effect Default parameters can be set based on the equipment manufacturer's nominal parameters or engineering experience values. For example, the default response delay for on-load tap changer adjustment of a transformer can be set to 300 seconds, with a default adjustment effect of 0.020 pu; the default response delay for reactive power support of a photovoltaic inverter can be set to 3 seconds, with a default adjustment effect of 0.004 pu; the default response delay for power limiting of a photovoltaic inverter can be set to 5 seconds, with a default adjustment effect of 0.008 pu; and the default response delay for power limiting of a charging pile can be set to 8 seconds, with a default adjustment effect of 0.006 pu.

[0056] (ii) Calculate actual parameters based on historical readback data. When historical readback data has accumulated after the system has been running for a period of time, the Exponential Weighted Moving Average (EWMA) method is used to statistically analyze the historical data to obtain the actual response delay and actual adjustment effect of each control action.

[0057] Specifically, let the actual response delay when a certain control action is executed for the jth time be... This refers to the time interval from the issuance of the control command to the start of a valid change in the monitored parameters; the actual adjustment effect is... This refers to the change in the controlled parameter (such as voltage) before and after the execution of the control action. The estimated response delay and the estimated regulation effect of the current control action are then calculated using the following exponentially weighted moving average formula: , , in, This is a smoothing coefficient, ranging from 0.1 to 0.3, used to control the weighting of new data in model updates. A larger value... The smaller value allows the model to adapt more quickly to changes in device characteristics. The value makes the model more stable. and The first The cumulative estimate after the update. When the number of historical readbacks is less than the preset number (e.g., less than 3 times), the above default parameters will still be used.

[0058] (III) Correct the adjustment effect based on the current operating status to obtain the corrected adjustment effect, and then update the adjustment effect. Based on the calculated baseline... and Then, the adjustment effect is corrected based on the current operating status. For example, the power limiting capacity of a photovoltaic inverter is constrained by its current active power output. If the current output is only 30% of the rated power, the power limiting effect should be reduced proportionally. The rechargeable power of an energy storage system is constrained by its current state of charge (SOC). If the SOC has reached 90%, the adjustment effect of charging power absorption should be reduced accordingly. The corrected adjustment effect... It can be calculated in the following ways: , in, For the current adjustable power, This refers to the rated power of the equipment.

[0059] In an optional implementation of a specific embodiment of this application, the aforementioned execution entity can generate a set of control actions, a set of action response delays for the corresponding control action sets, and a set of adjustment effects by performing the following steps based on the running status, control permissions, and historical readback data: The first step is to select, based on control permissions, all preset control actions that meet the control permission conditions from the preset control action set, forming a control action set. The control permission conditions can be the enabling of control permissions for the corresponding electrical equipment. In practice, the executing entity can select all preset control actions from the preset control action set that enable control permissions for the corresponding electrical equipment, forming a control action set. This can be understood as selecting all the preset control actions that can be activated as the control action set.

[0060] The second step involves generating a set of action response delays and a set of adjustment effects for the corresponding control action sets based on the operating status and historical readback data. Specifically, the executing entity can determine the historical average action response delay for each historical action response delay included in the historical readback data, as well as the historical average adjustment effect for each historical adjustment effect included in the historical readback data. Then, the historical action response delays and historical adjustment effects are used to determine the action response delay and adjustment effect for each control action.

[0061] Step S104: Select a preset number of target control actions from the target control action sequence, and issue control commands to the electrical equipment corresponding to the preset number of target control actions.

[0062] In one specific embodiment of this application, the executing entity can select a preset number of target control actions from the target control action sequence and issue control commands to the electrical equipment corresponding to the preset number of target control actions. The preset number can be 1-2. Specifically, the executing entity can select 1-2 target control actions from the target control action sequence and issue control commands to the electrical equipment corresponding to the 1-2 target control actions through a standard communication interface to execute the corresponding control operation.

[0063] Optionally, after selecting a preset number of target control actions from the target control action sequence and issuing control commands to the electrical equipment corresponding to the preset number of target control actions, the method further includes: The first step is to collect the updated electrical operating parameters for each phase again. Specifically, after the control action is completed, the updated electrical operating parameters for each phase can be continuously collected.

[0064] The second step is to determine whether there are any risks associated with the updated electrical operating parameters for each phase. Specifically, this can be done by calculating the rate of change of the updated electrical operating parameters for each phase using sliding regression to determine if any risks exist.

[0065] The third step involves updating the action response time set to ensure there are no risks associated with the updated electrical operating parameters for each phase. Specifically, firstly, the executing entity determines the new action response delay and the new adjustment effect. Then, the new action response delay and the new adjustment effect are added to the historical readback data of the corresponding control action, resulting in updated historical readback data. Next, the updated historical average action response delay for each updated historical action response delay included in the updated historical readback data is determined, as well as the updated historical average adjustment effect for each updated historical adjustment effect included in the updated historical readback data. Finally, the updated historical action response delay and the updated historical adjustment effect are used to determine the action response delay and adjustment effect for each control action. This allows for continuous monitoring of the effects and online updates of the action characteristics via readback logs, achieving self-learning and model updates.

[0066] The beneficial effects of the technical solution presented in this application are as follows: Firstly, this solution introduces a "limit exceedance risk time window" prediction. By comparing the action delay with the predicted time window, only actions that can effectively take effect before the limit exceedance occurs are selected. Candidate actions are dynamically ranked based on their adjustment effect per unit time, thus forming a time window gating and dynamic priority collaborative control mechanism. This effectively avoids the response lag and invalid actions present in traditional fixed-sequence control, achieving rapid and stable control of power quality in rural high-PV areas.

[0067] Figure 3 This is a schematic diagram of a specific embodiment of a priority coordination control device according to this application.

[0068] exist Figure 3 In the specific embodiment shown, the priority collaborative control device includes: a data acquisition module 301, which acquires electrical operating parameters of each phase; a prediction module 302, which predicts the arrival time window of the over-limit risk based on the electrical operating parameters of each phase; a control action screening module 303, which selects each control action that meets the preset response time condition from the control action set based on the arrival time window of the over-limit risk and the action response delay set corresponding to the control action set, as a target control action sequence; and a control command issuing module 304, which selects a preset number of target control actions from the target control action sequence and issues control commands to the electrical equipment corresponding to the preset number of target control actions.

[0069] The priority coordination control device provided in this application can be used to execute the priority coordination control method described in any of the above embodiments. Its implementation principle and technical effect are similar, and will not be repeated here.

[0070] In one specific embodiment of this application, a computer device includes a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the priority coordination control method described in the above embodiments.

[0071] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0072] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0073] The above are merely embodiments of this application and do not limit the scope of this patent application. Any equivalent structural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. A priority-based collaborative control method, characterized in that, include: Collect electrical operating parameters for each phase; Based on the electrical operating parameters of each phase, predict the time window for the risk of exceeding limits; Based on the time window for the risk of exceeding the limit and the action response delay set corresponding to the control action set, select each control action that meets the preset response time condition from the control action set as the target control action sequence; A preset number of target control actions are selected from the target control action sequence, and control commands are issued to the electrical equipment corresponding to the preset number of target control actions.

2. The priority collaborative control method according to claim 1, characterized in that, The step of selecting control actions that meet preset response time conditions from the control action set based on the time window of the risk exceeding the limit and the action response delay set corresponding to the control action set, as the target control action sequence, includes: Each control action whose corresponding action response delay is less than the time window of the risk of exceeding the limit is identified as the target control action set; Based on the target control action set, determine the target control action sequence.

3. The priority collaborative control method according to claim 2, characterized in that, The step of determining the target control action sequence based on the target control action set includes: The ratio of each adjustment effect corresponding to the target control action set to the corresponding action response delay is determined as an efficiency index, thus obtaining an efficiency index set. Based on the magnitude of each efficiency index in the efficiency index set, the target control action set is sorted to obtain the target control action sequence.

4. The priority collaborative control method according to claim 3, characterized in that, The step of selecting a preset number of target control actions from the target control action sequence and issuing control commands to the electrical equipment corresponding to the preset number of target control actions includes: Select a first preset number of target control actions from the target control action sequence; Control the electrical equipment corresponding to the preset number of target control actions to perform control actions.

5. The priority collaborative control method according to claim 3, characterized in that, Before selecting control actions that meet preset response time conditions from the control action set based on the arrival time window of the out-of-limit risk and the action response delay set corresponding to the control action set as the target control action sequence, the method further includes: Determine the operating status and control authority of each electrical device; Based on the operating status, the control permissions, and the historical readback data, a set of control actions, a set of action response delays, and a set of adjustment effects corresponding to the set of control actions are generated. Each control action in the set of control actions corresponds to an action response delay and an adjustment effect.

6. The priority collaborative control method according to claim 5, characterized in that, The step of generating a set of control actions, a set of action response delays, and a set of adjustment effects corresponding to the control action set based on the operating status, the control permissions, and historical readback data includes: Based on the control permissions, select each preset control action that meets the control permission conditions from the preset control action set, and use it as the control action set; Based on the operating status and the historical readback data, a set of action response delays and a set of adjustment effects corresponding to the control action set are generated.

7. The priority collaborative control method according to claim 1, characterized in that, After selecting a preset number of target control actions from the target control action sequence and issuing control commands to the electrical equipment corresponding to the preset number of target control actions, the method further includes: Collect the updated electrical operating parameters for each phase again; Determine whether there are any risks associated with the updated electrical operating parameters for each phase; In response to the determination that there is no risk in the updated electrical operating parameters of each phase, the action response time set is updated.

8. The priority collaborative control method according to claim 1, characterized in that, The step of predicting the arrival time window of the over-limit risk based on the electrical operating parameters of each phase includes: The electrical operating parameters of each phase are linearly regressed using a sliding regression algorithm to obtain the parameter change rate corresponding to each phase electrical operating parameter; Based on the rate of change of the parameters, the time window for the risk of exceeding the limit is predicted.

9. A priority-coordinated control device, characterized in that, include: The data acquisition module collects electrical operating parameters for each phase. The prediction module predicts the time window for the risk of exceeding limits based on the electrical operating parameters of each phase. The control action filtering module filters out each control action that meets the preset response time condition from the control action set based on the time window of the risk of exceeding the limit and the action response delay set corresponding to the control action set, and uses them as the target control action sequence. The control command issuing module selects a preset number of target control actions from the target control action sequence and issues control commands to the electrical equipment corresponding to the preset number of target control actions.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the priority cooperative control method as described in claims 1-8.

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