Micro-grid layered stability control method and system

Abstract

The invention discloses a micro-grid layered stability control method and system, and relates to the technical field of micro-grid control, and the system comprises a layered monitoring end, a fault prediction end and an execution adjustment end. The hierarchical monitoring end is used for formulating a micro-grid hierarchical control strategy, setting standard micro-grid hierarchical control parameters in the micro-grid hierarchical control strategy, and judging whether a fault or signal delay occurs in a micro-grid communication process in real time according to micro-grid communication parameters acquired in real time; the fault prediction end is used for acquiring current data executed by a micro-grid hierarchical control strategy in real time; and the execution adjustment end is used for adjusting and optimizing the micro-grid hierarchical control strategy in real time by receiving the multi-target collaborative prediction result in real time. According to the micro-grid layered stable control method and system, whether fault abnormity occurs in micro-grid communication of each layer or not can be monitored in real time, the situation of communication faults or communication delay is avoided, and the overall safety and reliability of a micro-grid layered control strategy can be predicted in real time according to the prediction result of each layer.

Description

Technical Field

[0001] The present invention relates to the technical field of microgrid control, and particularly relates to a microgrid hierarchical stability control method and system. Background Art

[0002] Microgrid hierarchical stability control is a control strategy that divides the microgrid control system into multiple layers to separately handle different tasks and functions. Microgrid hierarchical control is usually divided into three layers. The bottom layer is the distributed power source and load control layer, which uses droop control and other methods to achieve the distribution and balance of active power and reactive power; the middle layer is the frequency and voltage amplitude control layer, which receives the bottom layer control signals and regulates the output frequency and voltage amplitude of the inverter to ensure power balance and the stability of the main grid system, and to ensure the stability and economy of the microgrid operation.

[0003] Publication No. CN115986841A discloses a microgrid stability optimization method based on distributed hierarchical control. First, distributed cooperative control theory is used to design hierarchical control and a small-signal model of the microgrid is established; then, a distributed hierarchical control strategy is adopted to adjust the secondary and tertiary controls based on primary droop control; then, a small-signal modeling method is used to analyze the stability of the hierarchical control strategy in the system, and by calculating the eigenvalues of the system state matrix, the influence on system stability when adjusting the droop coefficient is analyzed. Through the distributed hierarchical control of the microgrid, the third layer control fully considers the power margin and output conditions of the distributed power sources, calculates the power margin of the microgrid with the power constraint as the goal, and achieves the improvement of microgrid stability.

[0004] After retrieving the above patents, it is found that there are still some deficiencies in the process of microgrid hierarchical stability control: 1. Hierarchical control requires effective communication between layers to ensure the accurate transmission of information and the timely execution of commands. However, during the communication process, it is impossible to timely judge whether the microgrid hierarchical control scheme is feasible. If there are faults or delays, it may affect the effect of hierarchical control, and it is impossible to monitor in real time whether the controllers of each layer have faults or abnormalities; 2. Although the hierarchical structure can effectively isolate faults, it is impossible to predict in advance whether the controller of a certain layer has a fault, which further affects the safety and reliability of microgrid hierarchical control, resulting in limitations in microgrid hierarchical stability control; 3. The hierarchical control strategy in the process of microgrid hierarchical control is usually designed for specific system structures and operating conditions, and has limited adaptability to control objects that often change and expand, resulting in the inability of the hierarchical control strategy to be adjusted and optimized in a timely manner according to the changes in microgrid parameters.

[0005] Therefore, a microgrid hierarchical stability control method and system are proposed to solve the above problems. Summary of the Invention

[0006] The main objective of the present invention is to provide a hierarchical stability control method and system for a microgrid to solve the problems raised in the above background.

[0007] To achieve the above objective, the technical solution adopted by the present invention is as follows: A hierarchical stability control method and system for a microgrid, including a hierarchical monitoring terminal, a fault prediction terminal, and an execution adjustment terminal; The hierarchical monitoring terminal is used to formulate a hierarchical control strategy for the microgrid, set standard microgrid hierarchical control parameters in the hierarchical control strategy for the microgrid, and determine in real time whether there are faults or signal delays during the microgrid communication process through the real-time collected microgrid communication parameters. If there are faults or delays, the fault layer is located in real time according to the communication parameters and a warning is issued, and feedback is provided for manual adjustment of parameters in a timely manner; The fault prediction terminal is used to collect the current data of the execution of the microgrid hierarchical control strategy in real time, and predict in real time whether there are abnormalities in each layer of controllers based on the current data, and jointly predict whether the execution of the microgrid hierarchical control strategy is feasible in combination with the prediction results of multiple layers of controllers; The execution adjustment terminal is used to receive the multi-objective collaborative prediction results in real time. The multi-objective collaborative prediction results are the prediction results of multiple layers of controllers. If the prediction results are feasible, the microgrid hierarchical control parameters are monitored in real time, and the control status of the microgrid is recorded in real time. If the prediction results are not feasible, the power deviation is calculated in real time according to the dynamic changes of the microgrid parameters, and the microgrid hierarchical control strategy is adjusted and optimized in real time.

[0008] The hierarchical monitoring terminal includes a control strategy module, a communication acquisition module, and a parameter detection module; The control strategy module includes a microgrid hierarchical control strategy and a hierarchical parameter control unit; The microgrid hierarchical control strategy is used to set the microgrid hierarchical control strategy, and the microgrid hierarchical control strategy is set to three layers, namely the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters; the hierarchical parameter control unit is used to set corresponding standard basic parameters for the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters respectively according to the microgrid hierarchical control strategy. The standard basic parameters include standard communication parameters and standard energy consumption parameters.

[0009] The communication acquisition module includes microgrid communication parameters and a standard parameter unit; The microgrid communication parameters are used to collect the communication parameters of the corresponding layer controller in the microgrid hierarchical control strategy in real time through a data acquisition instrument, and calculate the power loss during the communication process of the corresponding layer controller in the microgrid hierarchical control strategy in real time. The power loss calculation formula during the communication process of the corresponding layer controller is as follows: ; ; Where, Indicates the discharge time of the corresponding layer controller at different times, Indicates the sampling time, Indicates the signal processing discharge rate of the corresponding layer controller, Indicates the mathematical relationship between the signal processing discharge rate and the electrode loss rate of the corresponding layer controller, Indicates the power loss during the communication process of the corresponding layer controller; The standard parameter unit is used to set the standard communication values and standard power loss values of the standard communication parameters and standard energy consumption parameters of the corresponding layer controller.

[0010] The parameter detection module includes a hierarchical detection unit and a fault warning unit; The hierarchical detection unit is used to detect in real time whether the communication of the corresponding layer is abnormal. The detection method is as follows: Step 1: Set the fault threshold of the corresponding layer to ±0.02, and calculate the differences between the communication parameters and power losses of the corresponding layer and the standard communication values and standard power loss values of the corresponding layer respectively; Step 2: If the difference is less than or equal to 0.01 and greater than or equal to -0.01, it means that the communication of the corresponding layer is normal. If the difference is greater than 0.01 or less than -0.01, it means that the communication of the corresponding layer is abnormal; The fault warning unit is used to report to the system to issue a voice alarm and feedback for manual processing when the communication of the corresponding layer is abnormal.

[0011] The fault prediction end includes a single-layer prediction module and a collaborative prediction module; The single-layer prediction module includes a single-layer prediction unit and a prediction reminder unit; The single-layer prediction unit is used to predict in real time whether the controller of the corresponding layer is abnormal according to the communication parameters and power losses of the corresponding layer at the current moment. The prediction method is as follows: Step Ⅰ: Receive the communication detection results of the corresponding layer at the current moment in real time through the data receiver. Count one hour as a cycle, predict the controller of the corresponding layer according to the communication parameters and power losses of three cycles, set the standard communication parameter values and power loss standard values of three cycles, and calculate the average communication parameter value and average power loss value of three cycles of the corresponding layer; Step Ⅱ: Calculate the differences between the average communication parameter value and average power loss value of three cycles and the standard communication parameter values and power loss standard values respectively. If the average communication parameter value and average power loss value of three cycles both exceed the standard communication parameter values and power loss standard values, it means that the controller of the corresponding layer is abnormal. If the average communication parameter value and average power loss value of two or one cycle do not exceed the standard communication parameter values and power loss standard values, it means that the controller of the corresponding layer is normal; The prediction and reminder unit is used to report to the system to issue a voice alarm when it is predicted that the controller of the corresponding layer is abnormal.

[0012] The collaborative prediction module is used to collaboratively predict whether the execution of the microgrid hierarchical control strategy is abnormal according to the prediction abnormal results of the three layers of the microgrid hierarchical control strategy, that is, the prediction abnormal results of the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters. The prediction method is as follows: S1. Receive the prediction abnormal results of the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters; S2. If the prediction abnormal results of all three layers indicate that the controllers of the corresponding layers are normal, then predict that the execution of the microgrid hierarchical control strategy is normal, that is, the set microgrid hierarchical control strategy can continue to be executed; S3. If one or two of the prediction abnormal results of the three layers indicate that the controllers of the corresponding layers are abnormal, then predict that the execution of the microgrid hierarchical control strategy is abnormal, that is, the set microgrid hierarchical control strategy cannot continue to be executed.

[0013] The execution adjustment end includes a data receiving module, a change acquisition module, a deviation calculation module, and an adjustment and optimization module; The data receiving module is used to receive in real time through a data receiver the prediction result of whether the execution of the microgrid hierarchical control strategy is abnormal.

[0014] The change acquisition module is used to detect in real time through a data sensor the dynamic changes of the microgrid parameters and record them in real time through a data recorder; The deviation calculation module is used to calculate in real time the power deviation of the microgrid parameters. The calculation formula is as follows: Active power deviation (%) = (actual active power - rated active power) / rated active power × 100%; Reactive power deviation (%) = (actual reactive power - rated reactive power) / rated reactive power × 100%.

[0015] The adjustment and optimization module includes a strategy adjustment unit and an adjustment tracking unit; The strategy adjustment unit is used to generate a dynamic power change according to the power deviation of the microgrid parameters and adjust in real time the standard basic parameters of the microgrid hierarchical control strategy according to the dynamic power balance calculation formula. The calculation formula is as follows: ; Among them, P represents the power balance parameter, U represents the line voltage, I represents the line current, represents the power factor; The adjustment tracking unit is used to track the standard basic parameters after the adjustment of the microgrid hierarchical control strategy in real time through a data tracker, and calculate the difference between the quasi-basic parameters before and after the adjustment. If the difference is equal to 0, it means the adjustment is invalid, and the system will be immediately reported to issue a voice alarm reminder. If the difference is not equal to 0, it means the adjustment is effective.

[0016] A microgrid hierarchical stability control method includes the following steps: Step 1: Configure the IP address information of the microgrid remote control area server; Step 2: Enter the hierarchical monitoring end, set the microgrid hierarchical control strategy, and collect the microgrid communication parameters in real time to judge whether there are faults or signal delays in the microgrid communication process in real time. If so, report to the system, issue a voice alarm, locate the fault layer according to the communication parameters, and adjust the parameters; Step 3: If not, enter the fault prediction end, and predict whether the multi-layer controller is abnormal in real time through the current data executed by the microgrid hierarchical control strategy, and combine multi-objective collaboration to predict whether the execution of the microgrid hierarchical control strategy is feasible; Step 4: Enter the execution adjustment end, and receive the multi-objective coordination prediction result in real time. If the prediction result is feasible, monitor the microgrid hierarchical control parameters in real time and record the control state of the microgrid in real time. If the prediction result is not feasible, calculate the power deviation in real time according to the dynamic change of the microgrid parameters to realize the real-time adjustment and optimization of the microgrid hierarchical control strategy.

[0017] The present invention has the following beneficial effects: 1. In the present invention, by setting up a hierarchical monitoring end, when performing microgrid hierarchical control, it is judged in real time whether there are faults or signal delays in the microgrid communication process through the microgrid communication parameters collected in real time, so that it can be judged in time whether the communication parameters of each layer in the execution of the microgrid hierarchical control strategy are abnormal during the microgrid communication process, which can avoid communication faults or communication delays, enhance the communication effect of the microgrid hierarchical control, and ensure the communication stability of the microgrid hierarchical control.

[0018] 2. In the present invention, by setting up a fault prediction end, when performing microgrid hierarchical control, it is predicted in real time whether the multi-layer controller is abnormal through the current data executed by the microgrid hierarchical control strategy, so that when the microgrid hierarchical control strategy is executed, it can predict in advance whether a certain layer of the controller has a fault, and at the same time, it can also reduce the limitations of the microgrid hierarchical stability control and increase the accuracy of the microgrid hierarchical control.

[0019] 3. In the present invention, by providing an execution adjustment end, when performing hierarchical control of a microgrid, the power deviation is calculated in real time according to the dynamic changes of the microgrid parameters, so that when the hierarchical control strategy of the microgrid is executed, for the control objects that are often changed and expanded, the adaptability of the execution of the hierarchical control strategy of the microgrid can be increased, and the hierarchical control strategy can be adjusted and optimized in a timely manner according to the changes of the microgrid parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a schematic diagram of the system architecture of a method and system for hierarchical and stable control of a microgrid according to the present invention; Figure 2 It is a schematic diagram of the structure of the hierarchical monitoring end of a method and system for hierarchical and stable control of a microgrid according to the present invention; Figure 3 It is a schematic diagram of the structure of the fault prediction end of a method and system for hierarchical and stable control of a microgrid according to the present invention; Figure 4 It is a schematic diagram of the structure of the execution adjustment end of a method and system for hierarchical and stable control of a microgrid according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0022] Embodiment 1

[0023] Please refer to Figure 1 - Figure 2 as shown: A method and system for hierarchical and stable control of a microgrid, including a hierarchical monitoring end, a fault prediction end and an execution adjustment end; The hierarchical monitoring end is used to formulate a hierarchical control strategy for the microgrid, set standard hierarchical control parameters for the microgrid in the hierarchical control strategy, and determine in real time whether there are faults or signal delays in the microgrid communication process by collecting the real-time microgrid communication parameters. If there are faults or delays, the fault layer is located in real time according to the communication parameters and a warning is issued, and feedback is provided to the operator to adjust the parameters in a timely manner; The fault prediction end is used to collect the current data of the execution of the hierarchical control strategy of the microgrid in real time, and predict in real time whether there are abnormalities in each layer of controllers according to the current data, and jointly predict whether the execution of the hierarchical control strategy of the microgrid is feasible in combination with the prediction results of multiple layers of controllers; The execution adjustment end is used to receive the multi-objective collaborative prediction results in real time. The multi-objective collaborative prediction results are the prediction results of multiple layers of controllers. If the prediction results are feasible, the hierarchical control parameters of the microgrid are monitored in real time, and the control state of the microgrid is recorded in real time. If the prediction results are not feasible, the power deviation is calculated in real time according to the dynamic changes of the microgrid parameters, and the hierarchical control strategy of the microgrid is adjusted and optimized in real time.

[0024] The hierarchical monitoring terminal includes a control strategy module, a communication acquisition module, and a parameter detection module; The control strategy module includes a microgrid hierarchical control strategy and a hierarchical parameter control unit; The microgrid hierarchical control strategy is used to set the microgrid hierarchical control strategy, which is set to three layers, namely the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters; The hierarchical parameter control unit is used to set corresponding standard basic parameters for the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters respectively according to the microgrid hierarchical control strategy. The standard basic parameters include standard communication parameters and standard energy consumption parameters.

[0025] The communication acquisition module includes microgrid communication parameters and a standard parameter unit; The microgrid communication parameters are used to collect the communication parameters of the corresponding layer controller in the microgrid hierarchical control strategy in real time through a data acquisition instrument, and calculate the power loss during the communication process of the corresponding layer controller in the microgrid hierarchical control strategy in real time. The calculation formula for the power loss during the communication process of the corresponding layer controller is as follows: ; ; Wherein, represents the discharge time of the corresponding layer controller at different times, represents the sampling time, represents the signal processing discharge rate of the corresponding layer controller, represents the mathematical relationship between the signal processing discharge rate and the electrode loss rate of the corresponding layer controller, represents the power loss during the communication process of the corresponding layer controller; The standard parameter unit is used to set the standard communication values and standard power loss values of the standard communication parameters and standard energy consumption parameters of the corresponding layer controller, and judge in real time whether there are faults or signal delays during the microgrid communication process according to the real-time collected microgrid communication parameters. If there are faults or delays, locate the fault layer in real time according to the communication parameters and issue a warning, and feedback to the operator to adjust the parameters in time, so that it can be judged in time whether the communication parameters of each layer in the execution of the microgrid hierarchical control strategy are abnormal during the microgrid communication process. Abnormal communication parameters indicate communication delays, and abnormal power loss indicates communication faults.

[0026] The parameter detection module includes a hierarchical detection unit and a fault warning unit; The hierarchical detection unit is used to detect in real time whether the communication of the corresponding layer is abnormal. The detection method is as follows: Step 1: Set the fault threshold for the corresponding layer to ±0.02, and calculate the differences between the communication parameters and power losses of the corresponding layer and the standard communication value and standard power loss value of the corresponding layer respectively. Step 2: If the difference is less than or equal to 0.01 and greater than or equal to -0.01, it indicates that the communication of the corresponding layer is normal; if the difference is greater than 0.01 or less than -0.01, it indicates that the communication of the corresponding layer is abnormal. The fault warning unit is used to report to the system to issue a voice alarm and feedback for manual processing when the communication of the corresponding layer is abnormal. When the microgrid hierarchical control strategy is executed, it can predict in advance whether the controller of a certain layer fails, and at the same time, it can also predict the overall safety and reliability of the microgrid hierarchical control strategy in real time according to the prediction results of each layer, reduce the limitations of the microgrid hierarchical stability control, and increase the accuracy of the microgrid hierarchical control.

[0027] Embodiment 2

[0028] Please refer to Figure 3 As shown: Based on the first embodiment, the fault prediction end includes a single-layer prediction module and a collaborative prediction module; The single-layer prediction module includes a single-layer prediction unit and a prediction reminder unit; The single-layer prediction unit is used to predict in real time whether the controller of the corresponding layer is abnormal according to the communication parameters and power losses of the corresponding layer at the current moment. The prediction method is as follows: Step Ⅰ: Receive the communication detection results of the corresponding layer at the current moment in real time through the data receiver. Count one hour as a cycle, predict the controller of the corresponding layer according to the communication parameters and power losses of three cycles, set the standard communication parameter values and power loss standard values of three cycles, and calculate the average communication parameter value and average power loss value of three cycles of the corresponding layer; Step Ⅱ: Calculate the differences between the average communication parameter value and average power loss value of three cycles and the standard communication parameter value and power loss standard value respectively. If the average communication parameter value and average power loss value of three cycles both exceed the standard communication parameter value and power loss standard value, it indicates that the controller of the corresponding layer is abnormal; if the average communication parameter value and average power loss value of two or one cycle do not exceed the standard communication parameter value and power loss standard value, it indicates that the controller of the corresponding layer is normal; The prediction reminder unit is used to report to the system to issue a voice alarm when it is predicted that the controller of the corresponding layer is abnormal.

[0029] The collaborative prediction module is used to collaboratively predict whether the execution of the microgrid hierarchical control strategy is abnormal according to the prediction abnormal results of the three layers of the microgrid hierarchical control strategy, that is, the prediction abnormal results of the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters. The prediction method is as follows: S1. Receive the prediction abnormal results of the first-layer control parameters, the second-layer control parameters, and the third-layer control parameters; S2. If the prediction abnormal results of all three layers indicate that the controllers of the corresponding layers are normal, then it is predicted that the execution of the microgrid hierarchical control strategy is normal, that is, the set microgrid hierarchical control strategy can continue to be executed; S3. If one or two of the prediction abnormal results of the three layers indicate that the controllers of the corresponding layers are abnormal, then it is predicted that the execution of the microgrid hierarchical control strategy is abnormal, that is, the set microgrid hierarchical control strategy cannot continue to be executed. When the microgrid hierarchical control strategy is executed, it can predict in advance whether a controller of a certain layer fails, and at the same time, it can also predict the overall safety and reliability of the microgrid hierarchical control strategy in real time according to the prediction results of each layer, reduce the limitations of the microgrid hierarchical stability control, and increase the accuracy of the microgrid hierarchical control.

[0030] Embodiment 3

[0031] Please refer to Figure 4 as shown: Based on Embodiment 1, the execution adjustment end includes a data receiving module, a change acquisition module, a deviation calculation module, and an adjustment and optimization module; The data receiving module is used to receive in real time through a data receiver the prediction results of whether the execution of the microgrid hierarchical control strategy is abnormal. By receiving the multi-objective collaborative prediction results in real time, if the prediction results are feasible, it monitors the microgrid hierarchical control parameters in real time and records the control status of the microgrid in real time. If the prediction results are not feasible, it calculates the power deviation in real time according to the dynamic changes of the microgrid parameters, so as to realize the real-time adjustment and optimization of the microgrid hierarchical control strategy.

[0032] The change acquisition module is used to detect the dynamic changes of the microgrid parameters in real time through a data sensor and record them in real time through a data recorder; The deviation calculation module is used to calculate the power deviation of the microgrid parameters in real time. The calculation formula is as follows: Active power deviation (%) = (actual active power - rated active power) / rated active power × 100%; Reactive power deviation (%) = (actual reactive power - rated reactive power) / rated reactive power × 100%.

[0033] The adjustment and optimization module includes a strategy adjustment unit and an adjustment tracking unit; The strategy adjustment unit is used to generate the dynamic power change according to the power deviation of the microgrid parameters and adjust the standard basic parameters of the microgrid hierarchical control strategy in real time according to the dynamic power balance calculation formula. The calculation formula is as follows: ; where P represents the power balance parameter, U represents the line voltage, and I represents the line current. Represents the power factor; The adjustment tracking unit is used to track the standard basic parameters after the adjustment of the microgrid hierarchical control strategy in real time through a data tracker, and calculate the difference between the quasi-basic parameters before and after the adjustment. If the difference is equal to 0, it means the adjustment is invalid, and an immediate voice alarm reminder is sent to the system. If the difference is not equal to 0, it means the adjustment is effective. The effective adjustment can achieve the purpose of timely adjustment and optimization according to the changes of microgrid parameters, so that when the microgrid hierarchical control strategy is executed, for the control objects that are often changed and expanded, the adaptability of the microgrid hierarchical control strategy execution can be increased, and the hierarchical control strategy can be adjusted and optimized in a timely manner according to the changes of microgrid parameters.

[0034] In the present invention, a hierarchical stability control method and system for a microgrid, when performing hierarchical stability control of the microgrid, first configure the IP address information of the remote control area server of the microgrid; enter the hierarchical monitoring end, set the hierarchical control strategy of the microgrid, and collect the communication parameters of the microgrid in real time to judge in real time whether there are faults or signal delays in the communication process of the microgrid. If so, report to the system, issue a voice alarm, locate the fault layer according to the communication parameters and adjust the parameters. By setting the hierarchical control strategy of the microgrid, judge in real time whether there are faults or signal delays in the communication process of the microgrid according to the communication parameters collected in real time. If there are faults or delays, locate the fault layer in real time according to the communication parameters and issue a warning, and feedback to the operator in time to adjust the parameters, so that in the communication process of the microgrid, it can be judged in time whether the communication parameters of each layer in the execution of the hierarchical control strategy of the microgrid are abnormal, and it can monitor in real time whether there are fault abnormalities in the communication of each layer of the microgrid, avoid the occurrence of communication faults or communication delays, enhance the communication effect of the hierarchical control of the microgrid, and ensure the communication stability of the hierarchical control of the microgrid; if not, enter the fault prediction end, and predict in real time whether the multi-layer controller is abnormal through the current data of the execution of the hierarchical control strategy of the microgrid, and combine multi-objective collaborative prediction to judge whether the execution of the hierarchical control strategy of the microgrid is feasible. Predict in real time whether the multi-layer controller is abnormal through the current data of the execution of the hierarchical control strategy of the microgrid. The prediction method is to predict one by one according to the different data of each layer, and then combine the prediction results of multiple layers to collaboratively predict whether the execution of the hierarchical control strategy of the microgrid is feasible, so that when the hierarchical control strategy of the microgrid is executed, it can predict in advance whether a controller of a certain layer has a fault, and at the same time, it can also predict the overall safety and reliability of the hierarchical control strategy of the microgrid in real time according to the prediction results of each layer, reduce the limitations of the hierarchical stability control of the microgrid, and increase the accuracy of the hierarchical control of the microgrid; enter the execution adjustment end, and through real-time receiving the multi-objective coordination prediction results, if the prediction results are feasible, monitor the hierarchical control parameters of the microgrid in real time and record the control state of the microgrid in real time. If the prediction results are not feasible, calculate the power deviation in real time according to the dynamic changes of the microgrid parameters, realize the real-time adjustment and optimization of the hierarchical control strategy of the microgrid, so that when the hierarchical control strategy of the microgrid is executed, for the control objects that are often changed and expanded, the adaptability of the execution of the hierarchical control strategy of the microgrid can be increased, so that the hierarchical control strategy can be adjusted and optimized in time according to the changes of the microgrid parameters. This step is the same as the processing result when there are faults or signal delays in the hierarchical control strategy of the microgrid.

[0035] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A microgrid hierarchical stability control system, characterized in that: The system includes a hierarchical monitoring end, a fault prediction end, and an execution adjustment end; The hierarchical monitoring terminal is used to formulate a microgrid hierarchical control strategy, set standard microgrid hierarchical control parameters in the microgrid hierarchical control strategy, and judge in real time whether a fault or signal delay occurs in the microgrid communication process through the real-time collected microgrid communication parameters. If a fault or delay occurs, the fault layer is located in real time according to the communication parameters and an early warning is issued, and feedback is given to the manual adjustment of parameters in a timely manner; The fault prediction terminal is used to collect the current data of the execution of the microgrid hierarchical control strategy in real time, and predict in real time whether each layer of controller has an abnormality based on the current data, and combine the prediction results of the multi-layer controllers to collaboratively predict whether the execution of the microgrid hierarchical control strategy is feasible; The execution adjustment end is used to receive the multi-objective collaborative prediction results in real time, that is, the prediction results of the multi-layer controller. If the prediction results are feasible, the microgrid hierarchical control parameters are monitored in real time, and the control state of the microgrid is recorded in real time. If the prediction results are not feasible, the power deviation is calculated in real time according to the dynamic changes of the microgrid parameters, and the microgrid hierarchical control strategy is adjusted and optimized in real time.

2. The system according to claim 1, characterized in that: The hierarchical monitoring terminal includes a control strategy module, a communication acquisition module and a parameter detection module; The control strategy module includes a microgrid hierarchical control strategy and a hierarchical parameter control unit; The microgrid hierarchical control strategy is used to set the microgrid hierarchical control strategy, and the microgrid hierarchical control strategy is set to three layers, namely, the first layer control parameters, the second layer control parameters and the third layer control parameters; The hierarchical parameter control unit is used to set corresponding standard basic parameters for the first layer control parameters, the second layer control parameters and the third layer control parameters respectively according to the microgrid hierarchical control strategy, and the standard basic parameters include standard communication parameters and standard energy consumption parameters.

3. The system according to claim 2, characterized in that: The communication acquisition module includes a microgrid communication parameter and standard parameter unit; The microgrid communication parameters are used to collect the communication parameters of the corresponding layer controller in the microgrid hierarchical control strategy in real time through the data acquisition instrument, and calculate the power loss of the corresponding layer controller in the microgrid hierarchical control strategy in real time. The power loss calculation formula of the corresponding layer controller in the communication process is as follows: ； ； in, Indicates the discharge time of the corresponding layer controller at different times, represents the sampling time, represents the signal processing discharge rate of the corresponding layer controller, The mathematical relationship between the signal processing discharge rate and the electrode loss rate of the corresponding layer controller is represented by: Indicates the power loss during the communication process of the corresponding layer controller; The standard parameter unit is used to set the standard communication value and the standard power consumption value of the standard communication parameter and the standard energy consumption parameter of the corresponding layer controller.

4. The system according to claim 3, characterized in that: The parameter detection module includes a layered detection unit and a fault warning unit; The layered detection unit is used to detect in real time whether the communication of the corresponding layer is abnormal, and the detection method is as follows: Step 1, setting the fault threshold of the corresponding layer to ±0.02, and performing difference calculation between the communication parameters and power loss of the corresponding layer and the standard communication value and standard power loss value of the corresponding layer respectively; Step 2: If the difference is less than or equal to 0.01 and greater than or equal to -0.01, it indicates that the communication of the corresponding layer is normal; if the difference is greater than 0.01 or less than -0.01, it indicates that the communication of the corresponding layer is abnormal; The fault warning unit is used to report the system to issue a voice alarm and provide feedback for manual processing when the communication of the corresponding layer is abnormal.

5. The system according to claim 1, characterized in that: The fault prediction end includes a single-layer prediction module and a collaborative prediction module; The single-layer prediction module includes a single-layer prediction unit and a prediction reminder unit; The single-layer prediction unit is used to predict in real time whether the controller of the corresponding layer is abnormal according to the communication parameters and power consumption of the corresponding layer at the current moment. The prediction method is as follows: Step I: Receive the communication detection result of the corresponding layer at the current moment in real time through the data receiver, count one hour as one cycle, predict the controller of the corresponding layer according to the communication parameters and power loss of three cycles, set the standard communication parameter values ​​and power loss standard values ​​of the three cycles, and calculate the average values ​​of the communication parameters and power loss of the corresponding layer in the three cycles; Step II: Calculate the difference between the average values ​​of the communication parameters and the average values ​​of the power loss of the three cycles and the standard values ​​of the communication parameters and the power loss. If the average values ​​of the communication parameters and the power loss of the three cycles exceed the standard values ​​of the communication parameters and the power loss, it indicates that the controller of the corresponding layer is abnormal. If the average values ​​of the communication parameters and the power loss of two or one cycles do not exceed the standard values ​​of the communication parameters and the power loss, it indicates that the controller of the corresponding layer is normal. The prediction reminder unit is used to report the system to issue a voice alarm when the controller of the corresponding layer is predicted to be abnormal.

6. The system according to claim 5, characterized in that: The collaborative prediction module is used to collaboratively predict whether the execution of the microgrid hierarchical control strategy is abnormal based on the predicted abnormal results of the three layers of the microgrid hierarchical control strategy, that is, the predicted abnormal results of the first layer control parameters, the second layer control parameters and the third layer control parameters. The prediction method is as follows: S1, receiving the predicted abnormal results of the first layer control parameters, the second layer control parameters and the third layer control parameters; S2. If the predicted abnormal results of the three layers all indicate that the controllers of the corresponding layers are normal, then the execution of the predicted microgrid hierarchical control strategy is normal, that is, the set microgrid hierarchical control strategy can continue to be executed; S3. If one or two of the predicted abnormal results of the three layers indicate that the controller of the corresponding layer is abnormal, it is predicted that the execution of the microgrid hierarchical control strategy is abnormal, that is, the set microgrid hierarchical control strategy cannot continue to be executed.

7. The system according to claim 1, characterized in that: The execution adjustment end includes a data receiving module, a change acquisition module, a deviation calculation module and an adjustment optimization module; The data receiving module is used to receive in real time through a data receiver a prediction result of whether the execution of the microgrid hierarchical control strategy is abnormal.

8. The system according to claim 7, characterized in that: The change acquisition module is used to detect the dynamic changes of microgrid parameters in real time through data sensors and record them in real time through data recorders; The deviation calculation module is used to calculate the power deviation of the microgrid parameters in real time. The calculation formula is as follows: Active power deviation (%) = (actual active power - rated active power) / rated active power × 100%; Reactive power deviation (%) = (actual reactive power - rated reactive power) / rated reactive power × 100%.

9. The system according to claim 8, characterized in that: The adjustment and optimization module includes a strategy adjustment unit and an adjustment tracking unit; The strategy adjustment unit is used to generate dynamic power changes according to the power deviation of the microgrid parameters, and adjust the standard basic parameters of the microgrid hierarchical control strategy in real time according to the dynamic power balance calculation formula. The calculation formula is as follows: ； Among them, P represents the power balance parameter, U represents the line voltage, and I represents the line current. represents power factor; The adjustment tracking unit is used to track the standard basic parameters after the adjustment of the microgrid hierarchical control strategy in real time through a data tracker, and calculate the difference between the quasi-basic parameters before and after the adjustment. If the difference is equal to 0, it means that the adjustment is invalid, and the reporting system will immediately issue a voice alarm reminder. If the difference is not equal to 0, it means that the adjustment is valid.

10. A microgrid hierarchical stability control method, referring to a microgrid hierarchical stability control system according to any one of claims 1 to 9, characterized in that: The following steps are included: Step 1: configure the IP address information of the microgrid remote control area server; Step 2: Enter the hierarchical monitoring terminal, set the microgrid hierarchical control strategy, and collect microgrid communication parameters in real time to determine whether there is a fault or signal delay in the microgrid communication process. If so, report it to the system, issue a voice alarm, locate the fault layer according to the communication parameters, and adjust the parameters; Step 3: If it does not appear, enter the fault prediction end, and use the current data of the microgrid hierarchical control strategy to predict in real time whether the multi-layer controller is abnormal, and combine multi-objective collaborative prediction to predict whether the execution of the microgrid hierarchical control strategy is feasible; Step 4: Enter the execution and adjustment end, and receive the multi-objective coordinated prediction results in real time. If the prediction results are feasible, the microgrid hierarchical control parameters are monitored in real time, and the control status of the microgrid is recorded in real time. If the prediction results are not feasible, the power deviation is calculated in real time according to the dynamic changes of the microgrid parameters to achieve real-time adjustment and optimization of the microgrid hierarchical control strategy.

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