Control method of micro-grid active support power distribution network based on reconstruction strategy

Abstract

The invention provides a control method for actively supporting a power distribution network by a micro-grid based on a reconstruction strategy, and belongs to the technical field of power grid control, and the method comprises the steps: monitoring the operation state information of the power distribution network in real time to determine first data, and monitoring the operation state information of the micro-grid in real time to determine second data; analyzing the second data to determine a micro-grid operation vector, and determining a micro-grid supporting capability; determining a power distribution network support demand based on the first data, and determining a microgrid support objective function based on the microgrid support capability and the power distribution network support demand; and determining a reconstruction strategy based on the microgrid support objective function, and determining and executing a control instruction based on the reconstruction strategy. According to the method, an intelligent closed-loop control system of the micro-grid actively supporting the power distribution network can be constructed, resource distribution is balanced, efficient and accurate optimization control is realized, the system stability is enhanced, collaborative optimization operation of the micro-grid and the power distribution network is realized, and the accuracy and the intelligent level of power grid regulation and control are improved.

Description

Technical Field

[0001] The present invention relates to the field of power grid control technology, and in particular to a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy. Background Art

[0002] With the rapid development of renewable energy and distributed generation, microgrids have become a vital component of modern power systems. Traditional power grids primarily rely on centralized generation to maintain power balance and power quality. However, the integration of a high proportion of distributed power sources poses challenges to the operational stability of distribution networks. As controllable distributed units, microgrids have the potential to regulate active and reactive power and maintain voltage stability, providing ancillary services for distribution networks. Existing technologies primarily focus on isolated and grid-connected microgrid operation, with limited active support capabilities, making them difficult to cope with dynamic load fluctuations and complex operating conditions.

[0003] Therefore, the present invention provides a control method for a microgrid to actively support a distribution network based on a reconstruction strategy. Summary of the Invention

[0004] The present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy. By determining first data based on the distribution network and second data based on the microgrid, determining the microgrid operation vector and the microgrid support capability, determining the distribution network support demand and the microgrid support objective function, and determining a reconstruction strategy, and determining and executing control instructions according to the reconstruction strategy, an intelligent closed-loop control system for the microgrid actively supporting the distribution network can be constructed, resource allocation can be balanced, efficient and accurate optimization control can be achieved, system stability can be enhanced, coordinated optimization operation of the microgrid and the distribution network can be achieved, and the accuracy and intelligence level of power grid regulation can be improved.

[0005] The present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, comprising:

[0006] 101: monitoring the operating status information of the distribution network in real time to determine first data, and monitoring the operating status information of the microgrid in real time to determine second data;

[0007] 102: Analyze the second data to determine the microgrid operation vector and determine the microgrid support capacity;

[0008] 103: Determine a distribution network support demand based on the first data, and determine a microgrid support objective function based on the microgrid support capability and the distribution network support demand;

[0009] 104: Determine a reconstruction strategy based on the microgrid support objective function, determine and execute a control instruction based on the reconstruction strategy.

[0010] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, real-time monitoring of the operating status information of the distribution network to determine first data, and real-time monitoring of the operating status information of the microgrid to determine second data, the method includes:

[0011] Obtain the topology and historical operation data of the distribution network, analyze the topology and historical operation data to determine the key node set of the distribution network;

[0012] Install distributed sensor groups on key nodes of the distribution network to monitor the operating status of the distribution network in real time based on the distributed sensor groups;

[0013] Preprocessing the operating status information of the distribution network collected during the sampling period to determine first data, wherein the first data includes a plurality of first sub-data;

[0014] Determining key parameters based on operating characteristics of the microgrid, wherein the key parameters include multiple sub-parameters;

[0015] Monitor the operating sub-status information of each sub-parameter in the key parameters of the microgrid in real time to determine the operating status information of the microgrid;

[0016] The running sub-state information of each sub-parameter in the running state information is pre-processed to determine second data, wherein the second data includes a plurality of second sub-data.

[0017] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, a real-time analysis of second data is performed to determine a microgrid operation vector and a microgrid support capability, including:

[0018] Performing feature extraction on the second sub-data of each sub-parameter in the second data to determine a parameter feature vector of each sub-parameter in the key parameter;

[0019] evaluating the second sub-data of each sub-parameter based on the parameter feature vector of each sub-parameter in the key parameter and the preset parameter feature vector of each sub-parameter;

[0020] determining a microgrid operation vector of the microgrid based on evaluation results of the second sub-data of all sub-parameters;

[0021] The microgrid operation vector is input into the microgrid dynamic model to determine the microgrid support capacity.

[0022] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, a distribution network support requirement is determined based on first data, including:

[0023] Determining a node characteristic value of each parameter of each key node based on the first sub-data of each key node in the first data;

[0024] Perform statistical analysis on the eigenvalues ​​of all key nodes of the same parameter to determine the comprehensive eigenvalue of each parameter;

[0025] Conduct power flow analysis on the comprehensive characteristic values ​​of all parameters to determine the support requirements of the distribution network.

[0026] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, a microgrid support objective function is determined based on the microgrid support capability and the distribution network support demand, including:

[0027] Determine the active power support amount and reactive power support amount of the microgrid based on the microgrid support capability and distribution network support requirements;

[0028] Determine the microgrid support objective function based on the microgrid's active power support, microgrid's reactive power support, microgrid support capability, and distribution network support requirements;

[0029]

[0030]

[0031] Where T represents the microgrid support objective function, α1, α2, and α3 represent the weights of the support benefit objective function, the power balance benefit objective function, and the reserve capacity objective function, respectively. μ represents the penalty coefficient. B represents the support benefit objective function. W1p represents the active power support weight based on the support benefit. W1q represents the reactive power support weight based on the support benefit. J represents the power balance benefit objective function. cosθ represents the power factor. R represents the reserve capacity objective function. W2p represents the active power capacity weight based on the target capacity. W2q represents the reactive power capacity weight based on the target capacity.

[0032] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, the active power support amount and the reactive power support amount of the microgrid are determined based on the microgrid support capability and the distribution network support demand, including:

[0033]

[0034] Among them, P s Indicates the active power support of the microgrid, Q s Indicates the reactive power support of the microgrid, Q de Represents the reactive power demand of the distribution network, P de represents the active power demand of the distribution network, represents the active output of the i-th distributed power source, P Es Represents the active output of the energy storage device, represents the rated power of the i-th distributed power source, S Es Indicates the rated power of the energy storage device, P Ld Indicates the active power demand of the microgrid's internal load, represents the active power output of the i-th distributed power source, and N1 represents the number of distributed power sources.

[0035] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, a reconstruction strategy is determined based on a microgrid support objective function, including:

[0036] Determining whether there is a reconstruction demand based on the first data, the second data, and the microgrid support objective function, wherein the reconstruction demand includes a reconstruction demand due to impaired power balance, insufficient backup capacity, and decreased support capability;

[0037] If there is any one or more of the reconstruction requirements of impaired power balance, insufficient backup capacity or reduced support capacity, determine the reconstruction strategy of the microgrid to actively support the distribution network.

[0038] According to the control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by the present invention, a control instruction is determined and executed based on the reconstruction strategy, including:

[0039] Refining the reconstruction strategy into a control instruction, wherein the control instruction includes multiple sub-instructions;

[0040] Determine an execution unit for each sub-instruction in the control instruction, and send each sub-instruction in the control instruction to the corresponding execution unit;

[0041] The execution unit performs control based on the received sub-instructions and obtains the execution results after the instructions are executed;

[0042] Analyze the execution results of all specified units to determine whether there is a need for secondary reconstruction.

[0043] Compared with the prior art, the present invention has the following advantages:

[0044] By determining the first data based on the distribution network and the second data based on the microgrid, determining the microgrid operation vector and the microgrid support capacity, determining the distribution network support demand and the microgrid support objective function, and determining the reconstruction strategy, and determining and executing the control instructions according to the reconstruction strategy, an intelligent closed-loop control system can be constructed in which the microgrid actively supports the distribution network, balancing resource allocation, achieving efficient and accurate optimization control, enhancing system stability, realizing the coordinated optimization operation of the microgrid and the distribution network, and improving the accuracy and intelligence level of power grid regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 It is a flow chart of a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0048] Example 1:

[0049] The embodiment of the present invention provides a control method for a microgrid to actively support a distribution network based on a reconstruction strategy, such as Figure 1 As shown, including:

[0050] 101: monitoring the operating status information of the distribution network in real time to determine first data, and monitoring the operating status information of the microgrid in real time to determine second data;

[0051] 102: Analyze the second data to determine the microgrid operation vector and determine the microgrid support capacity;

[0052] 103: Determine a distribution network support demand based on the first data, and determine a microgrid support objective function based on the microgrid support capability and the distribution network support demand;

[0053] 104: Determine a reconstruction strategy based on the microgrid support objective function, determine and execute a control instruction based on the reconstruction strategy.

[0054] In this embodiment, the operating status information is real-time operating data of the distribution network or microgrid, including parameters such as voltage, frequency, and power flow, which are used to evaluate the health status of the current system.

[0055] In this embodiment, the second data is analyzed to determine the operating vector of the microgrid as a comprehensive representation of the state of the microgrid. Simultaneously, the supporting capacity of the microgrid is determined in combination with the operating vector.

[0056] In this embodiment, the real-time support demand of the distribution network is determined by analyzing the first data, and a support objective function is established in combination with the support capability of the microgrid to optimize resource allocation and operation control.

[0057] In this embodiment, based on the support objective function, the reconstruction strategy of the microgrid is determined, including power allocation, spare capacity adjustment, etc. The strategy is refined into control instructions, distributed to the execution unit, and the operation is completed to achieve the support objective.

[0058] In this embodiment, the reconstruction strategy represents an optimization adjustment plan generated based on the supporting objective function to improve system stability and efficiency.

[0059] The beneficial effects of the above technical solution are as follows: by determining the first data based on the distribution network and the second data based on the microgrid, determining the microgrid operation vector and the microgrid support capability, determining the distribution network support demand and the microgrid support objective function, and determining the reconstruction strategy, and determining and executing the control instructions according to the reconstruction strategy, an intelligent closed-loop control system can be constructed in which the microgrid actively supports the distribution network, resource allocation can be balanced, efficient and accurate optimization control can be achieved, system stability can be enhanced, coordinated optimization operation of the microgrid and the distribution network can be achieved, and the accuracy and intelligence level of grid regulation can be improved.

[0060] Example 2:

[0061] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, wherein the method monitors the operating status information of the distribution network in real time to determine first data, and monitors the operating status information of the microgrid in real time to determine second data, including:

[0062] Obtain the topology and historical operation data of the distribution network, analyze the topology and historical operation data to determine the key node set of the distribution network;

[0063] Install distributed sensor groups on key nodes of the distribution network to monitor the operating status of the distribution network in real time based on the distributed sensor groups;

[0064] Preprocessing the operating status information of the distribution network collected during the sampling period to determine first data, wherein the first data includes a plurality of first sub-data;

[0065] Determining key parameters based on operating characteristics of the microgrid, wherein the key parameters include multiple sub-parameters;

[0066] Monitor the operating sub-status information of each sub-parameter in the key parameters of the microgrid in real time to determine the operating status information of the microgrid;

[0067] The running sub-state information of each sub-parameter in the running state information is pre-processed to determine second data, wherein the second data includes a plurality of second sub-data.

[0068] In this embodiment, the topology and historical operation data of the distribution network are analyzed to identify its operation bottlenecks, weak links and important power supply paths, thereby determining the key nodes that have a greater impact on the operation of the entire network.

[0069] In this embodiment, sensor groups are installed at determined key nodes. These sensors can collect grid operation status information, such as voltage, current, temperature, etc., in real time, providing basic data for dynamic monitoring and control.

[0070] In this embodiment, each key node in the key node set corresponds to a first sub-data.

[0071] In this embodiment, the operating data collected during the sampling period may contain noise or redundant information, which is sorted into first data through pre-processing (such as filtering and denoising).

[0072] In this embodiment, a plurality of sub-parameters that can reflect the operation of the microgrid are selected based on the operating characteristics of the microgrid (such as the output power of distributed energy resources and the status of energy storage devices).

[0073] In this embodiment, the operating status of each sub-parameter in the key parameters of the microgrid, such as the voltage fluctuation range, the remaining power of the energy storage device, etc., is continuously monitored to generate the microgrid operating status information.

[0074] In this embodiment, the operating status sub-information of each sub-parameter of the microgrid is pre-processed (such as data cleaning and feature extraction) to determine corresponding second sub-data, which are then organized into second data.

[0075] The beneficial effects of the above technical solution are: real-time monitoring of the operating status information of the distribution network to determine the first data, and real-time monitoring of the operating status information of the microgrid to determine the second data, which can improve the collaborative monitoring and analysis capabilities of the distribution network and the microgrid, achieve more efficient and accurate optimization control, and enhance the adaptability and stability of the system.

[0076] Example 3:

[0077] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, which analyzes second data in real time to determine a microgrid operation vector and a microgrid support capability, including:

[0078] Performing feature extraction on the second sub-data of each sub-parameter in the second data to determine a parameter feature vector of each sub-parameter in the key parameter;

[0079] evaluating the second sub-data of each sub-parameter based on the parameter feature vector of each sub-parameter in the key parameter and the preset parameter feature vector of each sub-parameter;

[0080] determining a microgrid operation vector of the microgrid based on evaluation results of the second sub-data of all sub-parameters;

[0081] The microgrid operation vector is input into the microgrid dynamic model to determine the microgrid support capacity.

[0082] In this embodiment, feature extraction is performed on the second sub-data of each sub-parameter in the second data, and the feature is converted into a parameter feature vector.

[0083] In this embodiment, the actual parameter feature vector of each sub-parameter is compared with the ideal feature vector preset by the system, and its operating status is evaluated through difference analysis, for example, to determine whether a sub-parameter has an anomaly or deviation.

[0084] In this embodiment, based on the evaluation results of all sub-parameters, they are integrated into a microgrid operation vector, which summarizes the overall operation status of the microgrid.

[0085] In this embodiment, the operation vector is input as an input variable into a microgrid dynamic model, which simulates the behavior of the microgrid in the current state.

[0086] The beneficial effects of the above technical solution are: real-time analysis of the second data to determine the microgrid operation vector and the microgrid support capacity, realizing a deep transformation of the microgrid operation characteristics from qualitative to quantitative, which can improve the accuracy and intelligence level of grid control.

[0087] Example 4:

[0088] An embodiment of the present invention provides a control method for a microgrid to actively support a distribution network based on a reconstruction strategy, which determines a distribution network support requirement based on first data, including:

[0089] Determining a node characteristic value of each parameter of each key node based on the first sub-data of each key node in the first data;

[0090] Perform statistical analysis on the eigenvalues ​​of all key nodes of the same parameter to determine the comprehensive eigenvalue of each parameter;

[0091] Conduct power flow analysis on the comprehensive characteristic values ​​of all parameters to determine the support requirements of the distribution network.

[0092] In this embodiment, the first sub-data of each key node in the first data is used to analyze the parameters (such as voltage, current, and power) of the key node, extract its operating characteristics, and quantify them into node characteristic values. For example, the voltage stability of the key node can be represented by calculating the voltage deviation.

[0093] In this embodiment, the characteristic values ​​of the same parameter at different key nodes are aggregated and statistically analyzed (e.g., calculating the mean, variance, or distribution characteristics) to obtain the comprehensive characteristic values ​​of the parameter. These values ​​reflect the overall operating characteristics of the entire network with respect to that parameter, such as the fluctuation range of the voltage level across the entire network.

[0094] In this embodiment, power flow analysis is performed based on the comprehensive characteristic values ​​of all parameters to calculate the distribution of power flow in the distribution network, including the power injection and consumption of nodes, the power transmission capacity of lines, etc., so as to identify weak links or potential fault points in the distribution network.

[0095] In this embodiment, based on the power flow analysis results, the specific support requirements of the distribution network are clarified to provide guidance for the subsequent optimization of the microgrid operation strategy.

[0096] The beneficial effects of the above technical solution are: by determining the support demand of the distribution network based on the first data, the dynamic support demand of the distribution network can be accurately evaluated, the transparency of the operating status of the distribution network is improved, the ability of the microgrid to accurately support it is enhanced, and the overall operating efficiency and safety of the system are improved.

[0097] Example 5:

[0098] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, which determines a microgrid support objective function based on the microgrid support capability and the distribution network support demand, including:

[0099] Determine the active power support amount and reactive power support amount of the microgrid based on the microgrid support capability and distribution network support requirements;

[0100] Determine the microgrid support objective function based on the microgrid's active power support, microgrid's reactive power support, microgrid support capability, and distribution network support requirements;

[0101]

[0102] Where T represents the microgrid support objective function, α1, α2, and α3 represent the weights of the support benefit objective function, the power balance benefit objective function, and the reserve capacity objective function, respectively. μ represents the penalty coefficient. B represents the support benefit objective function. W1p represents the active power support weight based on the support benefit. W1q represents the reactive power support weight based on the support benefit. J represents the power balance benefit objective function. cosθ represents the power factor. R represents the reserve capacity objective function. W2p represents the active power capacity weight based on the target capacity. W2q represents the reactive power capacity weight based on the target capacity.

[0103] In this embodiment, the amount of active power support (actual power) and reactive power support (regulated power) that the microgrid can provide is quantified based on the microgrid's support capabilities (including power generation and energy storage capabilities) and the distribution network's support requirements (such as power gaps and voltage regulation requirements). For example, when the distribution network is underpowered, the microgrid provides additional active power to meet load demand; when the distribution network voltage fluctuates significantly, the microgrid stabilizes the voltage through reactive power regulation.

[0104] In this embodiment, the support benefit objective function comprehensively evaluates the impact of the power support provided by the microgrid on the reliability, economy and dispatch efficiency of the distribution network operation, and optimizes the allocation of support resources.

[0105] In this embodiment, the power balance objective function aims to minimize the supply-demand deviation in the distribution network, thereby ensuring a dynamic balance between active and reactive power in the entire network.

[0106] In this embodiment, the reserve capacity objective function takes into account that the microgrid needs to retain sufficient reserve capacity to cope with sudden demand or load fluctuations, and optimizes the reserve capacity allocation.

[0107] In this embodiment, the microgrid support objective function comprehensively supports the benefit objective function, the power balance benefit objective function, and the backup capacity objective function to improve the overall operation benefit.

[0108] In this embodiment, It means taking the minimum value of the support benefit objective function, the power balance benefit objective function, the spare capacity objective function, and the coupled benefit of the support benefit objective function, the power balance benefit objective function, and the spare capacity objective function, to ensure that the weakest objective is optimized first. μ×(B+J+R) is used as an auxiliary to improve the overall optimization level, and μ is greater than 0.

[0109] The beneficial effects of the above technical solution are: determining the microgrid support objective function based on the microgrid support capacity and distribution network support demand can achieve accurate allocation of support capacity and maximize benefits, and enhance the flexibility and intelligence level of coordinated optimization of microgrids and distribution networks.

[0110] Example 6:

[0111] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, which determines the active power support amount and the reactive power support amount of the microgrid based on the microgrid support capability and the distribution network support demand, including:

[0112]

[0113] Among them, P s Indicates the active power support of the microgrid, Q s Indicates the reactive power support of the microgrid, Qde Represents the reactive power demand of the distribution network, P de represents the active power demand of the distribution network, represents the active output of the i-th distributed power source, P Es Represents the active output of the energy storage device, represents the rated power of the i-th distributed power source, S Es Indicates the rated power of the energy storage device, P Ld Indicates the active power demand of the microgrid's internal load, represents the active power output of the i-th distributed power source, and N1 represents the number of distributed power sources.

[0114] In this embodiment, the active power support amount represents the specific value of the active power (used for actual power transmission) provided by the microgrid to the distribution network, which is used to meet load demand or alleviate grid pressure.

[0115] In this embodiment, the reactive power support amount represents the specific value of reactive power (used for voltage regulation) provided by the microgrid to the distribution network, which is used to stabilize the voltage level of the grid.

[0116] The beneficial effects of the above technical solution are: determining the active power support amount and reactive power support amount of the microgrid based on the microgrid support capability and the distribution network support demand, which can provide a data basis for determining the microgrid support objective function, thereby achieving accurate allocation of support capability and maximizing benefits.

[0117] Example 7:

[0118] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, wherein the reconstruction strategy is determined based on a microgrid support objective function, including:

[0119] Determining whether there is a reconstruction demand based on the first data, the second data, and the microgrid support objective function, wherein the reconstruction demand includes a reconstruction demand due to impaired power balance, insufficient backup capacity, and decreased support capability;

[0120] If there is any one or more of the reconstruction requirements of impaired power balance, insufficient backup capacity or reduced support capacity, determine the reconstruction strategy of the microgrid to actively support the distribution network.

[0121] In this embodiment, the operating status of the microgrid and the distribution network is monitored in real time through the first data and the second data, and its current support capacity is calculated in combination with the microgrid support objective function. When any problem such as impaired power balance (such as excessive active / reactive power deviation), insufficient backup capacity or decreased support capacity is detected, it is determined that there is a need for reconstruction.

[0122] In this embodiment, a strategy for actively supporting the distribution network is designed based on specific reconstruction requirements. For example, if power balance is impaired, the output power of the microgrid is adjusted to supplement the supply and demand gap of the grid. If backup capacity is insufficient, energy storage units are added to participate in backup power distribution, or load power demand is reduced. If support capacity decreases, resource allocation within the microgrid is optimized, or external power supply support is introduced.

[0123] In this embodiment, impaired power balance indicates a mismatch between supply and demand, which results in a large deviation in the active power or reactive power of the power grid, threatening system stability.

[0124] In this embodiment, insufficient backup capacity means that the microgrid cannot retain sufficient backup power capacity and is unable to cope with load fluctuations or sudden failures.

[0125] In this embodiment, the decline in support capability indicates that the microgrid is unable to meet the support requirements of the distribution network due to resource limitations, faults, and other reasons.

[0126] The beneficial effects of the above technical solution are: determining the reconstruction strategy based on the microgrid support objective function can enhance the system's adaptability, improve the reliability and flexibility of distribution network operation, and realize the efficient utilization and intelligent regulation of microgrid resources.

[0127] Example 8:

[0128] An embodiment of the present invention provides a control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, which determines and executes a control instruction based on the reconstruction strategy, including:

[0129] Refining the reconstruction strategy into a control instruction, wherein the control instruction includes multiple sub-instructions;

[0130] Determine an execution unit for each sub-instruction in the control instruction, and send each sub-instruction in the control instruction to the corresponding execution unit;

[0131] The execution unit performs control based on the received sub-instructions and obtains the execution results after the instructions are executed;

[0132] Analyze the execution results of all specified units to determine whether there is a need for secondary reconstruction.

[0133] In this embodiment, the macro-reconfiguration strategy is decomposed into multiple control instructions to ensure that each task is clear and executable.

[0134] In this embodiment, the control instruction represents a specific, executable operation instruction converted from the reconstruction strategy, and is used to guide the execution unit to complete the corresponding task.

[0135] In this embodiment, the execution unit represents a device or subsystem for a specific operation, such as an inverter, a switching device, an energy storage system, a distributed power supply, etc.

[0136] In this embodiment, the execution result refers to feedback information generated after the execution unit completes the instruction, such as power output value, node voltage change, etc.

[0137] In this embodiment, the sub-instructions are precise operation tasks designed for specific execution units (such as energy storage systems and distributed power sources).

[0138] In this embodiment, the execution unit of each sub-instruction is determined, such as the inverter of a certain node is responsible for adjusting reactive power, the energy storage system is responsible for adjusting active power, etc.

[0139] In this embodiment, the sub-instructions are distributed to the corresponding execution units through the communication system, and the execution units complete the operations according to the instructions and feed back the results.

[0140] In this embodiment, the feedback results of all execution units are summarized and analyzed to see whether the reconstruction goal has been achieved. If it is found that some instructions do not achieve the expected results (such as large power regulation deviation) or new problems arise after execution (such as voltage instability), it is determined that there is a need for secondary reconstruction, and the strategy is redesigned and executed.

[0141] The beneficial effects of the above technical solution are: determining and executing control instructions based on the reconstruction strategy can achieve refinement of strategy execution and dynamic closed-loop optimization, ensuring the efficient completion of the reconstruction task and enhancing the adaptability and stability of the system.

[0142] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0143] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0144] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A control method for a microgrid actively supporting a distribution network based on a reconstruction strategy, characterized in that: include: 101: monitoring the operating status information of the distribution network in real time to determine first data, and monitoring the operating status information of the microgrid in real time to determine second data; 102: Analyze the second data to determine the microgrid operation vector and determine the microgrid support capacity; 103: Determine a distribution network support demand based on the first data, and determine a microgrid support objective function based on the microgrid support capability and the distribution network support demand; 104: Determine a reconstruction strategy based on the microgrid support objective function, determine and execute a control instruction based on the reconstruction strategy.

2. The control method for the microgrid actively supporting the distribution network based on the reconstruction strategy according to claim 1 is characterized in that: Real-time monitoring of the operating status information of the distribution network to determine the first data, and real-time monitoring of the operating status information of the microgrid to determine the second data, including: Obtain the topology and historical operation data of the distribution network, analyze the topology and historical operation data to determine the key node set of the distribution network; Install distributed sensor groups on key nodes of the distribution network to monitor the operating status of the distribution network in real time based on the distributed sensor groups; Preprocessing the operating status information of the distribution network collected during the sampling period to determine first data, wherein the first data includes a plurality of first sub-data; Determining key parameters based on operating characteristics of the microgrid, wherein the key parameters include multiple sub-parameters; Monitor the operating sub-status information of each sub-parameter in the key parameters of the microgrid in real time to determine the operating status information of the microgrid; The running sub-state information of each sub-parameter in the running state information is pre-processed to determine second data, wherein the second data includes a plurality of second sub-data.

3. The control method for the microgrid actively supporting the distribution network based on the reconstruction strategy according to claim 1 is characterized in that: Real-time analysis of the second data to determine the microgrid operation vector and the microgrid support capacity, including: Performing feature extraction on the second sub-data of each sub-parameter in the second data to determine a parameter feature vector of each sub-parameter in the key parameter; evaluating the second sub-data of each sub-parameter based on the parameter feature vector of each sub-parameter in the key parameter and the preset parameter feature vector of each sub-parameter; determining a microgrid operation vector of the microgrid based on evaluation results of the second sub-data of all sub-parameters; The microgrid operation vector is input into the microgrid dynamic model to determine the microgrid support capacity.

4. The control method for a microgrid actively supporting a distribution network based on a reconstruction strategy according to claim 1, characterized in that: Determining a distribution network support requirement based on the first data includes: Determining a node characteristic value of each parameter of each key node based on the first sub-data of each key node in the first data; Perform statistical analysis on the eigenvalues ​​of all key nodes of the same parameter to determine the comprehensive eigenvalue of each parameter; Conduct power flow analysis on the comprehensive characteristic values ​​of all parameters to determine the support requirements of the distribution network.

5. The control method for a microgrid actively supporting a distribution network based on a reconstruction strategy according to claim 1, characterized in that: The microgrid support objective function is determined based on the microgrid support capability and distribution network support requirements, including: Determine the active power support amount and reactive power support amount of the microgrid based on the microgrid support capability and distribution network support requirements; Determine the microgrid support objective function based on the microgrid's active power support, microgrid's reactive power support, microgrid support capability, and distribution network support requirements; Where T represents the microgrid support objective function, α1, α2, and α3 represent the weights of the support benefit objective function, the power balance benefit objective function, and the reserve capacity objective function, respectively. μ represents the penalty coefficient. B represents the support benefit objective function. W1p represents the active power support weight based on the support benefit. W1q represents the reactive power support weight based on the support benefit. J represents the power balance benefit objective function. cosθ represents the power factor. R represents the reserve capacity objective function. W2p represents the active power capacity weight based on the target capacity. W2q represents the reactive power capacity weight based on the target capacity.

6. The control method for a microgrid actively supporting a distribution network based on a reconstruction strategy according to claim 5 is characterized in that: The active power support amount and reactive power support amount of the microgrid are determined based on the microgrid support capability and distribution network support requirements, including: Among them, P s Indicates the active power support of the microgrid, Q s Indicates the reactive power support of the microgrid, Q de Represents the reactive power demand of the distribution network, P de represents the active power demand of the distribution network, represents the active output of the i-th distributed power source, P Es Represents the active output of the energy storage device, represents the rated power of the i-th distributed power source, S Es Indicates the rated power of the energy storage device, P Ld Indicates the active power demand of the microgrid's internal load, represents the active power output of the i-th distributed power source, and N1 represents the number of distributed power sources.

7. The control method for a microgrid actively supporting a distribution network based on a reconstruction strategy according to claim 1, characterized in that: The reconstruction strategy is determined based on the microgrid support objective function, including: Determining whether there is a reconstruction demand based on the first data, the second data, and the microgrid support objective function, wherein the reconstruction demand includes a reconstruction demand due to impaired power balance, insufficient backup capacity, and decreased support capability; If there is any one or more of the reconstruction requirements of impaired power balance, insufficient backup capacity or reduced support capacity, determine the reconstruction strategy of the microgrid to actively support the distribution network.

8. The control method for a microgrid actively supporting a distribution network based on a reconstruction strategy according to claim 7 is characterized in that: Determine and execute control instructions based on the reconstruction strategy, including: Refining the reconstruction strategy into a control instruction, wherein the control instruction includes multiple sub-instructions; Determine an execution unit for each sub-instruction in the control instruction, and send each sub-instruction in the control instruction to the corresponding execution unit; The execution unit performs control based on the received sub-instructions and obtains the execution results after the instructions are executed; Analyze the execution results of all specified units to determine whether there is a need for secondary reconstruction.

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