Power grid control strategy support method and device and electronic equipment

Abstract

The invention provides a power grid control strategy support method and device and electronic equipment, and relates to the technical field of power dispatching. The method is applied to a distribution network operation control system and comprises the following steps: acquiring a power grid control strategy issued by a distribution network operation management system; based on a preset control strategy simulation model, performing simulation operation according to the power distribution network switch control requirement to obtain a simulation result; and if the simulation result is that simulation execution is successful, executing the power distribution network switch control requirement. Through the method, the power grid control strategy can be verified before actual execution, potential risks or problems can be identified, and the reliability and safety of the power grid control strategy are improved.

Description

Technical Field

[0001] This application relates to the technical field of power dispatching, and in particular, to a method, device, and electronic device for supporting grid control strategies. Background Art

[0002] With the continuous growth of power demand and the increasing complexity of the grid structure, the load pressure on the grid is also continuously increasing. Therefore, it is necessary to manage and control the grid load to ensure the stable operation of the power system.

[0003] Traditional grid management methods often rely on manual experience and simple load control means. For example, data from intelligent sensing devices and measurement devices are obtained through acquisition devices, and these data are perceived and processed using topology recognition technology to grasp the power consumption behavior of users and the operating status of equipment. Then, based on the power consumption behavior and equipment operating status, the grid load is regulated through manual experience.

[0004] However, when formulating and implementing power curtailment / re - energization strategies, operation and maintenance personnel often need to rely on personal experience judgments, which are difficult to cope with the complex and changing grid operating conditions, resulting in operational errors. Summary of the Invention

[0005] This application provides a method, device, and electronic device for supporting grid control strategies to solve the problem of operational errors caused by relying on personal experience judgments when formulating and implementing power curtailment / re - energization strategies.

[0006] In a first aspect, this application provides a method for supporting grid control strategies, which is applied to a distribution network operation control system and includes:

[0007] Obtain the grid control strategy issued by the distribution network operation management system, where the grid control strategy includes the requirements for controlling the switches of the distribution network;

[0008] Based on a preset control strategy simulation model, perform simulation operations according to the requirements for controlling the switches of the distribution network to obtain a simulation result. The requirements for controlling the switches of the distribution network represent controlling the closing or opening of the switches of the distribution network;

[0009] If the simulation result is successful in simulated execution, then execute the requirements for controlling the switches of the distribution network.

[0010] In a possible implementation manner, based on a preset control strategy simulation model, performing simulation operations according to the requirements for controlling the switches of the distribution network to obtain a simulation result includes:

[0011] Based on a preset control strategy simulation model, according to the requirements for controlling the switches of the distribution network, determine the simulation operations for group - controlling the switches of different substations in the distribution network and the simulation operations for single - step sequential control of the switches of the same substation to obtain a simulation result.

[0012] In a possible implementation manner, the preset control strategy simulation model is obtained through the following steps:

[0013] Obtain historical power grid data, where the historical power grid data includes load data and equipment parameters;

[0014] Train the initial control strategy simulation model according to the historical power grid data and the random forest algorithm to obtain the preset control strategy simulation model, and the initial control strategy simulation model is used to predict the operation results corresponding to the power grid control strategy.

[0015] In a possible implementation manner, before obtaining the power grid control strategy issued by the distribution network operation management system, the method further includes:

[0016] Obtain the power curtailment sequence table data published by the distribution network operation management system;

[0017] Update the initial power curtailment sequence table data according to the power curtailment sequence table data to obtain the updated power curtailment sequence table data;

[0018] Determine the real-time load information and frozen load data of the equipment in the distribution network according to the equipment ledger model and measuring point model data in the updated power curtailment sequence table data;

[0019] In response to the sequence table load measurement request issued by the distribution network operation management system, send the real-time load information and frozen load data to the distribution network operation management system, and the power grid control strategy is generated according to the real-time load information and frozen load data.

[0020] In a possible implementation manner, the power grid control strategy further includes the main power grid switch control requirements, and the method further includes:

[0021] Forward the main power grid switch control requirements to the main network operation control system, and the main network operation control system is used to execute the power grid control strategy.

[0022] In a possible implementation manner, if the simulation result is that the simulation execution is successful, then execute the distribution network switch control requirements, including:

[0023] If the simulation result is that the simulation execution is successful, determine the execution time, rounds, and control instructions of the power grid control strategy through cloud computing according to the current power grid data of the distribution network and the distribution network switch control requirements in the power grid control strategy;

[0024] Control the closing or opening of the distribution network switch according to the execution time, rounds, and control instructions.

[0025] In a possible implementation manner, the method further includes:

[0026] If the execution result is that the power grid control strategy execution fails, perform a failure analysis on the execution result to obtain failure analysis information. The failure analysis includes checking data records, measuring the actual execution completion delay time, checking equipment failures, and checking communication problems;

[0027] Send the failure analysis information to the distribution network operation management system, which is used to regenerate an optimized power grid control strategy based on the fault information.

[0028] In a second aspect, the present application provides a power grid control strategy support method, which is applied to a distribution network operation management system and includes:

[0029] Obtain the real-time load information and frozen load data sent by the distribution network operation control system;

[0030] Generate a power grid control strategy based on the real-time load information and frozen load data;

[0031] Send the power grid control strategy to the distribution network operation control system. The power grid control strategy includes the distribution network switch control requirements, which characterize controlling the closing or opening of the distribution network switch. The distribution network operation control system is used to perform a simulation operation based on a preset control strategy simulation model. When the simulation operation is successful according to the distribution network switch control requirements, execute the distribution network switch control requirements.

[0032] In a possible implementation manner, generating a power grid control strategy based on the real-time load information and frozen load data includes:

[0033] Determine the load fluctuation data of the distribution network according to the real-time load information;

[0034] Determine the remaining load capacity of the distribution network according to the difference between the load fluctuation data and the frozen load data;

[0035] Generate a power grid control strategy according to the remaining load capacity of the distribution network.

[0036] In a possible implementation manner, the method further includes:

[0037] Determine the current load demand of the distribution network according to the real-time load information and frozen load data;

[0038] Determine the maximum load carrying capacity and the load distribution during the peak electricity consumption period of the distribution network according to the power grid power supply index and the peak shaving early warning signal;

[0039] Determine whether there is an overload risk in the distribution network according to the current load demand, the maximum load carrying capacity, and the load distribution during the peak electricity consumption period;

[0040] Based on whether there is an overload risk in the distribution network, determine the load distribution adjustment information of the distribution network according to the load shedding load requirements;

[0041] Generate a power grid control strategy according to the load distribution adjustment information.

[0042] In a third aspect, the present application provides a power grid control strategy support device, which is applied to a distribution network operation control system and includes:

[0043] A first acquisition module, configured to acquire a power grid control strategy issued by a distribution network operation management system, where the power grid control strategy includes distribution network switch control requirements;

[0044] A first obtaining module, configured to perform a simulation operation based on a preset control strategy simulation model according to the distribution network switch control requirements to obtain a simulation result, where the distribution network switch control requirements represent controlling the closing or opening of the distribution network switch;

[0045] An execution module, configured to execute the distribution network switch control requirements if the simulation result is a successful simulation execution.

[0046] In a possible implementation manner, the first obtaining module is specifically configured to:

[0047] Based on a preset control strategy simulation model, according to the distribution network switch control requirements, determine a simulation operation for group control of switches in different substations in the distribution network, and a simulation operation for single-step sequential control of switches in the same substation, to obtain a simulation result.

[0048] In a possible implementation manner, the first obtaining module is further configured to:

[0049] Acquire historical power grid data, where the historical power grid data includes load data and equipment parameters;

[0050] Train an initial control strategy simulation model according to the historical power grid data and the random forest algorithm to obtain a preset control strategy simulation model, where the initial control strategy simulation model is used to predict the operation result corresponding to the power grid control strategy.

[0051] In a possible implementation manner, the first acquisition module is further configured to:

[0052] Acquire the power rationing sequence table data published by the distribution network operation management system;

[0053] Update the initial power rationing sequence table data according to the power rationing sequence table data to obtain the updated power rationing sequence table data;

[0054] Determine the real-time load information and frozen load data of the equipment in the distribution network according to the equipment ledger model and measuring point model data in the updated power rationing sequence table data;

[0055] In response to the load measurement request of the sequence table sent by the distribution network operation management system, the real-time load information and frozen load data are sent to the distribution network operation management system, and the power grid control strategy is generated based on the real-time load information and frozen load data.

[0056] In a possible implementation manner, the first acquisition module is further configured to:

[0057] Forward the main power grid switch control requirement to the main network operation control system, and the main network operation control system is used to execute the power grid control strategy.

[0058] In a possible implementation manner, the execution module is specifically configured to:

[0059] If the simulation result is that the simulation execution is successful, according to the current power grid data of the distribution network and the distribution network switch control requirement in the power grid control strategy, determine the execution time, rounds, and control instructions of the power grid control strategy through cloud computing;

[0060] Control the closing or opening of the distribution network switch according to the execution time, rounds, and control instructions.

[0061] In a possible implementation manner, the execution module is further configured to:

[0062] If the execution result is that the power grid control strategy execution fails, perform a failure analysis on the execution result to obtain failure analysis information. The failure analysis includes checking data records, measuring the actual execution completion delay time, checking equipment failures, and checking communication problems;

[0063] Send the failure analysis information to the distribution network operation management system, and the distribution network operation management system is used to regenerate an optimized power grid control strategy according to the fault information.

[0064] Fourthly, the present application provides a power grid control strategy support device, which is applied to the distribution network operation management system and includes:

[0065] A second acquisition module, configured to acquire real-time load information and frozen load data sent by the distribution network operation control system;

[0066] A generation module, configured to generate a power grid control strategy according to the real-time load information and frozen load data;

[0067] A sending module, configured to send the power grid control strategy to the distribution network operation control system. The power grid control strategy includes the distribution network switch control requirement, and the distribution network switch control requirement represents controlling the closing or opening of the distribution network switch. When the distribution network operation control system performs a simulation operation successfully based on a preset control strategy simulation model according to the distribution network switch control requirement, it executes the distribution network switch control requirement.

[0068] In a possible implementation, the generation module is specifically configured to:

[0069] Determine the load fluctuation data of the distribution network according to the real-time load information;

[0070] Determine the remaining load capacity of the distribution network according to the difference between the load fluctuation data and the frozen load data;

[0071] Generate a grid control strategy according to the remaining load capacity of the distribution network.

[0072] In a possible implementation, the generation module is further configured to:

[0073] Determine the current load demand of the distribution network according to the real-time load information and the frozen load data;

[0074] Determine the maximum load carrying capacity and the load distribution during the peak electricity consumption period of the distribution network according to the grid power supply index and the peak shaving early warning signal;

[0075] Determine whether there is an overload risk in the distribution network according to the current load demand, the maximum load carrying capacity, and the load distribution during the peak electricity consumption period;

[0076] Based on whether there is an overload risk in the distribution network, determine the load distribution adjustment information of the distribution network according to the load shedding load requirements;

[0077] Generate a grid control strategy according to the load distribution adjustment information.

[0078] In a fifth aspect, the present application provides an electronic device, including: a memory and a processor;

[0079] The memory is used to store a computer program; the processor is used to execute the computer program stored in the memory to implement the grid control strategy support method in the first aspect and any one of the embodiments of the first aspect.

[0080] The grid control strategy support method, device, and electronic device provided by the present application obtain the grid control strategy issued by the distribution network operation management system through the distribution network operation control system. Based on a preset control strategy simulation model, first perform a simulation operation, which can verify the grid control strategy before actual execution, help identify potential risks or problems, improve the reliability and safety of the grid control strategy. At the same time, the simulation operation provides a deep understanding of the grid control strategy, can more accurately evaluate the impact of various switch control requirements on the grid operation, can reduce the process of repeated adjustment and inspection, improve the efficiency and response speed of grid operation, and avoid unnecessary risks caused by human operation errors or improper grid control strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0081] To more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0082] Figure 1 Flow schematic of the power grid control strategy support method provided by the embodiment of the present application Figure 1 ;

[0083] Figure 2 Flow schematic diagram of the control strategy simulation model provided by the embodiment of the present application;

[0084] Figure 3 Flow schematic of the power grid control strategy support method provided by the embodiment of the present application Figure 2 ;

[0085] Figure 4 Flow schematic diagram of the sequence table load monitoring function provided by the embodiment of the present application;

[0086] Figure 5 Flow schematic of the power grid control strategy support method provided by the embodiment of the present application Figure 3 ;

[0087] Figure 6 Schematic diagram of cloud computing provided by the embodiment of the present application;

[0088] Figure 7 Flow schematic of the power grid control strategy support method provided by the embodiment of the present application Figure 4 ;

[0089] Figure 8 Flow schematic diagram of the power curtailment result sending function provided by the embodiment of the present application;

[0090] Figure 9 Flow schematic of the power grid control strategy support method provided by the embodiment of the present application Figure 5 ;

[0091] Figure 10 Overall architecture diagram of the power grid control strategy support method provided by the embodiment of the present application;

[0092] Figure 11 Structure schematic of the power grid control strategy support device provided by the embodiment of the present application Figure 1 ;

[0093] Figure 12 Structure schematic of the power grid control strategy support device provided by the embodiment of the present application Figure 2 ;

[0094] Figure 13 This is a schematic diagram of the hardware structure of the electronic device provided by the embodiments of the present application.

[0095] Through the above-mentioned drawings, the specific embodiments of the present application have been shown, and more detailed descriptions will be given later. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Detailed implementation manners

[0096] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application. Apparently, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0097] The terms "first", "second", "third", "fourth", etc. in the specification, claims, and drawings of the present application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such used data may be interchanged under appropriate circumstances. For example, without departing from the scope of this text, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information.

[0098] Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0099] Furthermore, as used herein, the singular forms "a", "an", and "the" are also intended to include the plural forms unless the context indicates otherwise.

[0100] It should be further understood that the terms "comprising", "including" indicate the presence of features, steps, operations, elements, components, items, types, and / or groups, but do not exclude the presence, occurrence, or addition of one or more other features, steps, operations, elements, components, items, types, and / or groups.

[0101] The term "or" and "and / or" as used herein are interpreted inclusively and mean any one or any combination. Thus, "A, B, and / or C" means "any one of the following: A; B; C; A and B; A and C; B and C; A, B, and C". An exception to this definition only occurs when the combination of elements, functions, steps, or operations is inherently mutually exclusive in some way.

[0102] In the prior art, how to effectively monitor and manage the power grid load and optimize the formulation and execution of power curtailment and power restoration strategies have become important challenges faced by the power industry. The traditional power grid management method usually controls the power grid load based on manual experience, resulting in the inability to cope with the complex and changeable power grid operation status, and further causing problems such as uneven distribution of power resources and decreased power supply reliability. In addition, due to the lack of effective auxiliary decision-making support tools, operation and maintenance personnel often need to rely on personal experience judgments when formulating and executing power curtailment / power restoration strategies, which has the risk of operation errors.

[0103] In view of the above problems, this application proposes a power grid control strategy support method. Based on the distribution network operation control system, after obtaining the power grid control strategy issued by the distribution network operation management system, if a simulation operation is first performed on the power grid control strategy, that is, the requirements for controlling the distribution network switches in the power grid control strategy are verified, accidents or failures that may occur during actual operation can be predicted in advance. Specifically, a control strategy simulation model can be used to implement the simulation operation, control the closing or opening of the distribution network switches, and determine the impact of these switch control operations on the power grid operation. If the simulation execution is successful, it means that these switch control operations can meet the requirements of power curtailment or power restoration. Therefore, the requirements for controlling the distribution network switches can be actually executed. Thus, by simulating and confirming the effectiveness of the control strategy, the process of repeated adjustment and inspection can be reduced, the efficiency and response speed of power grid operation can be improved, and operation errors can be avoided.

[0104] The following uses specific embodiments to elaborate on the technical solutions of this application in detail. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments.

[0105] In this application, an electronic device is used as the execution subject to execute the power grid control strategy support method of the following embodiments. Specifically, the execution subject can be the hardware device of the electronic device, or the software application in the electronic device that implements the following embodiments, or the computer-readable storage medium installed with the software application that implements the following embodiments, or the code of the software application that implements the following embodiments.

[0106] Figure 1 It is a flow diagram of the power grid control strategy support method provided by the embodiments of this application Figure 1 As Figure 1 shown, with an electronic device as the execution subject and applied to the distribution network operation control system (Operation Control System, OCS), the method of this embodiment can include the following steps:

[0107] S101. Obtain the power grid control strategy issued by the distribution network operation management system.

[0108] Among them, the power grid control strategy includes the control requirements for the distribution network switches. The Outage Management System (OMS) is used to manage and control the distribution network. It can formulate control strategies for the distribution network according to factors such as power grid load demand, equipment operation status, and environmental changes. The power grid control strategy includes the control requirements for the distribution network switch equipment, such as closing (switch closed) or opening (switch disconnected) operation instructions.

[0109] Specifically, when the power grid load approaches or exceeds its maximum carrying capacity, the control requirement for the distribution network switch is to open, indicating the triggering of a power rationing decision to perform partial power rationing in a specific area or user group to prevent the power grid from overloading and avoid equipment damage or system failures. After the power grid overload situation is alleviated or the fault is eliminated, the control requirement for the distribution network switch is to close, indicating the triggering of a power restoration decision to gradually restore power supply according to priority and area, ensuring the safety and stability of the power grid during the restoration process.

[0110] Optionally, the power grid control strategy further includes the control requirements for the main power grid switches. The method of this embodiment may further include:

[0111] Forward the control requirements for the main power grid switches to the main grid operation control system, which is used to execute the power grid control strategy.

[0112] Among them, the main grid operation control system is used to monitor and control the operation of the main power grid. It can automatically or manually take corresponding measures according to the control requirements for the main power grid switches, such as closing, opening, and load adjustment.

[0113] It can be understood that due to the differences in structure, management, and control between the distribution network and the main power grid. The distribution network OMS is mainly responsible for the real-time monitoring and dispatching of the distribution network, and its control strategy usually targets a smaller-scale power grid and local equipment; while the main power grid OCS is responsible for the coordination and stable control of the entire power grid, involving large-scale power transmission and complex system dispatching. Therefore, the distribution network OMS sends the strategy to the distribution network OCS, and then the distribution network OCS forwards it to the main power grid OCS, which can ensure that the control strategy can be screened, integrated, and optimized by the distribution network OCS to meet the overall dispatching requirements and safety specifications of the main power grid, avoiding inconsistencies or conflicts that may be brought about by direct sending, making the operation process more concise and efficient, avoiding delays or complexities in the intermediate links, and thus improving the safety, reliability, and coordination of the control system.

[0114] S102. Based on a preset control strategy simulation model, perform a simulation operation according to the control requirements for the distribution network switches to obtain a simulation result.

[0115] Among them, the switch control requirements of the distribution network characterize the control of the closing or opening of the switches in the distribution network. The preset control strategy simulation model can simulate the execution effect of the switch control operation in the distribution network. This model can predict the execution results of different control strategies based on factors such as historical data, current load, and equipment status to verify whether they meet the stability requirements of the power grid.

[0116] It can be understood that through the preset control strategy simulation model, the obtained power grid control strategy is simulated and verified. The control strategy simulation model simulates the execution effect of the switch control operation in the distribution network according to the preset parameters and historical data, analyzes its impact on the operation of the power grid, and can evaluate whether the power grid control strategy is reasonable without actually operating the power grid equipment.

[0117] S103. If the simulation result is successful simulation execution, execute the switch control requirements of the distribution network.

[0118] In this embodiment, if the simulation execution is successful, it means that the power grid control strategy shows results that meet the stability requirements of the power grid in the simulation environment, that is, there are no risks and no faults. At this time, the distribution network OCS will execute this control strategy and perform closing or opening operations according to the switch control requirements of the distribution network.

[0119] On the basis of the above embodiment, the specific implementation manner of step S102 can be:

[0120] Based on the preset control strategy simulation model, according to the switch control requirements of the distribution network, determine the simulation operations for group control of the switches in different substations in the distribution network, and the simulation operations for single-step sequential control of the switches in the same substation, and obtain the simulation results.

[0121] Among them, group control can refer to the synchronous or joint control of multiple switches in different substations in the distribution network. For example, the switches of multiple substations can be closed or opened simultaneously, so as to quickly respond and execute multiple operations, and coordinate the current and load distribution among multiple regions or devices.

[0122] Single-step sequential control can refer to the sequential control of the switches in the same substation one by one according to a certain order. For example, first close one switch, and then close the next switch after its operation is completed, and execute sequentially to avoid the risk of excessive load or equipment failure caused by simultaneous operation and ensure the safe execution of the control command.

[0123] In a possible implementation manner, the preset control strategy simulation model is obtained through the following method:

[0124] Obtain historical power grid data, where the historical power grid data includes load data and equipment parameters;

[0125] Based on historical power grid data and the random forest algorithm, the initial control strategy simulation model is trained to obtain a preset control strategy simulation model. The initial control strategy simulation model is used to predict the operation results corresponding to the power grid control strategy.

[0126] Among them, the load data can be the power consumption data of each power user and area in the distribution network during a specific historical time period. The equipment parameters can refer to various technical parameters related to power grid equipment (such as transformers, switches, transmission lines, etc.), including but not limited to information such as the rated power, working status, and operating efficiency of the equipment.

[0127] In this embodiment, the initial control strategy simulation model is constructed based on the basic assumptions of the distribution network control requirements (such as load demand, equipment status, etc.). According to the input power grid control requirements, it predicts the expected results of the power grid after implementing these control operations. Through the random forest algorithm, each decision tree will use a random subset of the historical power grid data to predict the execution effect of the control strategy. During the training process, the model will learn the relationship between the power grid control strategy and the power grid response. By optimizing these relationships, the prediction accuracy of the model is continuously improved to obtain an optimized preset control strategy simulation model.

[0128] Figure 2 It is a schematic flow diagram of the control strategy simulation model provided by the embodiment of the present application. As Figure 2 shown, in this embodiment, first, model selection and training are carried out, including data collection and preprocessing and model construction. Specifically, historical data, including load data, equipment parameters, etc., are collected, and feature extraction is performed on them, including time, load level, etc., so as to clean the data. At the same time, a model is constructed based on the random forest algorithm, and the model is trained using historical data to achieve the prediction of the results of control operations (power curtailment / restoration). Then, through supervised learning, the model is trained to identify the optimal control strategies in different situations, including single-step sequential control and one-key group control. Specifically, for single-step sequential control, the random forest algorithm can make control decisions based on the current system state. For one-key group control, the model can find the best control sequence under the given target state to simultaneously control multiple devices. Furthermore, result verification is carried out. Based on the neural network algorithm, evaluation indicators are set, including accuracy rate, recall rate, etc., and the error range of the prediction is provided to verify the result accuracy. Then, sensors and data acquisition systems are used to monitor the operation status of the power grid in real time and perform fault display. Specifically, machine learning models are used for fault diagnosis to timely detect and display any abnormal or fault status in the system operation. Finally, strategy iteration is carried out according to the feedback loop and ensemble learning. Specifically, the model can continuously receive new data and optimize the control model according to the performance feedback, and can iteratively improve the model performance to continuously optimize the strategy.

[0129] It is understandable that through model selection and training, the control strategy can be simulated, the strategy reliability can be improved, and the operation and maintenance personnel are allowed to select the most appropriate control method according to needs. Through the verification results, it is ensured that the implementation of the control strategy is safer and more reliable. At the same time, anomalies can be detected in a timely manner, ensuring the continuous optimization and update of the control strategy, thereby improving the adaptability of the system.

[0130] The power grid control strategy support method provided by the embodiment of the present application ensures the feasibility of the switch control requirements of the distribution network through the simulation verification process, predicts in advance the impact of the power grid control strategy, avoids power grid instability caused by operation errors or emergencies, and thus discovers potential problems before actual execution, reducing risks such as power grid failures and equipment damage caused by improper control strategies, and improving the operation efficiency and reliability of the power grid.

[0131] Figure 3 It is a flow schematic of the power grid control strategy support method provided by the embodiment of the present application. Figure 2 As Figure 3 shown, on the basis of the Figure 1 embodiment, the power grid control strategy support method is described in detail. The method may include:

[0132] S201. Obtain the power rationing sequence table data published by the distribution network operation management system.

[0133] Among them, the power rationing sequence table data refers to the tabular data of the power limitation or power outage sequence set in priority order when the distribution network faces excessive load demand or tight power resources. Based on the power rationing sequence table data, the power grid load can be balanced through power resource allocation to ensure the stable operation of the power grid. Exemplarily, the power rationing sequence table data lists which devices or regions need to be preferentially rationed or powered off under different loads or power shortages.

[0134] In this embodiment, the power rationing sequence table data includes the switch account in the main website and the distribution network line switch account. Among them, the distribution network line switch account includes the Geographic Information System Identifier (GISID) of the distribution network switch, equipment capacity, line name, line load, dispatching order, etc. When power rationing is required due to general accidents, the operation and maintenance personnel perform sequential power rationing and sequential power restoration according to the sequence table to prevent the expansion of the accident power outage range and ensure the safe and stable operation of the power grid in case of emergencies.

[0135] S202. Update the initial power rationing sequence table data according to the power rationing sequence table data to obtain the updated power rationing sequence table data.

[0136] It should be noted that the data of the power curtailment sequence table released by the distribution network OMS is released in full. After the distribution network OCS receives the data of the power curtailment sequence table, it will perform a full update and replacement of the initial power curtailment sequence table data.

[0137] S203. Determine the real-time load information and frozen load data of the equipment in the distribution network according to the equipment inventory model and measuring point model data in the updated power curtailment sequence table data.

[0138] Among them, the equipment inventory model is the management model of all equipment in the distribution network, including the collection of information such as the type, function, location, and operating status of the equipment. The measuring point model data is the data of each measuring point used to monitor and collect power-related data (such as current, voltage, power, etc.) in the distribution network. The real-time load information refers to the current instantaneous load status data of the distribution network. The frozen load data refers to the load data that remains unchanged within a certain period of time under certain special circumstances (such as load dispatching strategies, fault recovery, etc.).

[0139] S204. In response to the sequence table load measurement request issued by the distribution network operation management system, send the real-time load information and frozen load data to the distribution network operation management system, and the grid control strategy is generated according to the real-time load information and frozen load data.

[0140] Among them, the sequence table load measurement request is a request sent by the distribution network OMS to the distribution network OCS, requiring to obtain the load data calculated according to the power curtailment sequence table.

[0141] It can be understood that by regularly updating the power curtailment sequence table and combining the real-time load information and frozen load data, the distribution network OCS can dynamically adjust the load requirements of each region and equipment, optimize the load dispatching of the power grid. At the same time, the distribution network OCS can also monitor the real-time load information and frozen load data of the equipment in the distribution network in real time, so as to help the distribution network quickly identify and respond to potential problems when the load is too high, ensuring the stable operation of the power grid.

[0142] Figure 4 This is a schematic flowchart of the sequence table load monitoring function provided by the embodiment of the present application. As Figure 4 shown, in this embodiment, the distribution network OCS has the sequence table load monitoring function, receives, monitors, and calls the sequence table data, providing accurate data support for subsequent power curtailment or power restoration decisions (grid control strategies).

[0143] Specifically, the distribution network OCS can receive the power curtailment sequence table data published by the distribution network OMS. According to the equipment ledger model and measuring point model data in the power curtailment sequence table data, it monitors the compliance of all measuring points of the switches in the main website and the switches outside the distribution network site. At the same time, the distribution network OCS can also provide a load calling service for the sequence table. When the distribution network OMS initiates a request for load calling of the sequence table, the distribution network OCS system responds with the real-time load information and frozen load data of all devices in the sequence table to the distribution network OMS.

[0144] It can be understood that through the sequence table load monitoring function, the distribution network OCS can monitor and respond to the load changes of each node in the power grid in real time, helping the operation and maintenance personnel make reasonable power curtailment and power supply decisions according to the actual situation.

[0145] The power grid control strategy support method provided by the embodiment of the present application, by updating the power curtailment sequence table and combining the real-time load information and frozen load data, the distribution network operation control system can dynamically optimize the load dispatching of the power grid, helping the operation and maintenance personnel to reasonably configure and dispatch resources and avoid resource waste.

[0146] Figure 5 Schematic flow of the power grid control strategy support method provided by the embodiment of the present application Figure 3 As Figure 5 shown, on the basis of the Figure 1 embodiment, step S103 is described in detail, which may specifically include the following steps:

[0147] S301. If the simulation result is that the simulation execution is successful, according to the current power grid data of the distribution network and the switch control requirements in the power grid control strategy, determine the execution time, rounds, and control instructions of the power grid control strategy through cloud computing.

[0148] Among them, cloud computing refers to the technology of providing computing resources and services through the network cloud. In this embodiment, cloud computing can be used to process power grid data and analyze and optimize the power grid control strategy. Through cloud computing, large-scale data processing and remote management can be efficiently carried out to ensure the timely execution of the power grid control strategy.

[0149] Among them, the execution time indicates when the switch operation is to be carried out. The rounds determine whether repeated operations are required. For example, it may be necessary to repeatedly execute closing or opening at multiple time periods. The control instruction clarifies the content of the operation, such as closing or opening, and the control instruction can be accurate to the number of the specific switch device to be operated and the substation.

[0150] In this embodiment, through the cloud computing platform, the system can quickly process a large amount of power grid data and calculate the best time, cycle (rounds), and corresponding control instructions for executing the power grid control strategy.

[0151] S302. Control the closing or opening of the distribution network switch according to the execution time, round, and control instruction.

[0152] Figure 6 Schematic diagram of cloud computing provided by the embodiments of the present application. As Figure 6 shown, in this embodiment, by integrating the powerful data processing ability of cloud computing and the fast response ability of edge computing, the execution time, round, and control instruction of the power grid control strategy are determined, and the control requirements of the distribution network switch are executed. Specifically, the artificial intelligence (AI) device performing edge computing sends a processing request to the cloud performing cloud computing. At the same time, the edge devices (including sensors, communication devices, electric meters, etc.) interact with the cloud. The edge devices perform data processing, data caching, model storage, data collection, terminal adaptation, and upload the data to the cloud. The cloud determines information such as the operation time, operation round, control opening / closing instruction, switch number, etc. of the control according to these data, and transmits this information to the AI device.

[0153] It can be understood that by combining cloud computing and edge computing, the power curtailment / resumption control strategy can be executed, which not only improves the processing speed and data security, but also optimizes the network and resource usage, enhances the reliability of the system and the user experience, and promotes technology integration.

[0154] The power grid control strategy support method provided by the embodiments of the present application analyzes the current data of the distribution network through cloud computing. The data processing ability of cloud computing ensures that the power grid control strategy can be flexibly adjusted according to the real-time situation without being limited by hardware or computing power, making the execution of the power grid control strategy more accurate and real-time.

[0155] Figure 7 Flow chart of the power grid control strategy support method provided by the embodiments of the present application Figure 4 As Figure 3 shown, on the basis of the Figure 1 embodiment, the power grid control strategy support method is described in detail. The method may include:

[0156] S401. If the execution result is that the execution of the power grid control strategy fails, perform a failure analysis on the execution result to obtain failure analysis information.

[0157] Among them, the failure analysis includes checking data records, measuring the actual execution completion delay time, checking equipment failures, and checking communication problems.

[0158] Exemplarily, after the implementation of the power grid control strategy, the distribution network OCS will detect whether the implementation fails. If the strategy fails to be successfully implemented, the distribution network OCS will automatically initiate a failure analysis process. Since the power grid control strategy depends on real-time data, inaccurate data may lead to the failure of the control strategy. Therefore, it is necessary to first check whether there are any data recording errors or losses during the implementation process. The distribution network OCS will also measure the actual completion time of the control instruction and compare it with the expected execution time. If there is a delay in the instruction execution, it may cause the power grid state to fail to be adjusted in a timely manner. The distribution network OCS will also check the status of the equipment in the distribution network to see if there are any equipment failures or abnormal conditions affecting the strategy implementation. For example, the switching equipment fails to work properly or the sensor data is abnormal. Since the instruction needs to be transmitted to the equipment through the communication network during the control process. Therefore, the distribution network OCS will also check whether there are communication problems. If there are problems with the communication link (such as delays, packet losses, etc.), it may cause the instruction to fail to be successfully transmitted or executed.

[0159] S402. Send the failure analysis information to the distribution network operation management system, which is used to regenerate an optimized power grid control strategy according to the fault information.

[0160] In this embodiment, the distribution network operation management system can re-evaluate the power grid control strategy based on the received failure analysis information and generate a new optimized control strategy. This process can be iterated multiple times until the best strategy is found.

[0161] Figure 8 It is a schematic flowchart of the power curtailment result sending function provided by the embodiment of the present application. As Figure 8 shown, in this embodiment, the distribution network OCS has a power curtailment result sending function, including power curtailment result sending and execution result analysis. Specifically, the distribution network OCS can send the control information corresponding to the power curtailment result to the distribution network OMS, and the distribution network OMS can quickly adjust and optimize the overall power grid operation strategy according to the control information. In addition, the distribution network OCS separately processes the control disconnection and control closing operations and ensures the information synchronization between the two parties, so as to improve the response speed of the system to emergencies while ensuring the operation accuracy, and further ensure the stability and security of the power grid. For the execution result, the distribution network OCS can determine whether the execution is successful. If the execution is successful, the execution result will be directly transmitted back to the distribution network OMS. If the execution fails, a preliminary analysis of the execution result will be performed, including: checking the integrity of the data record, measuring the actual execution completion delay time, equipment failure, communication problems, etc., and the preliminary analysis result will be transmitted back to the distribution network OMS. The distribution network OMS will regenerate the power grid control strategy according to the preliminary analysis result.

[0162] It can be understood that through the power curtailment result sending function of the distribution network OCS, the power curtailment operation can be monitored in real time, and the system can quickly respond to the execution result, thereby improving the reliability and efficiency of the system.

[0163] The power grid control strategy support method provided by the embodiment of the present application can quickly locate the specific reasons for the failure of the power grid control strategy execution through failure analysis. After the power grid control strategy execution fails, the distribution network operation management system will quickly respond and readjust the control plan through an optimized strategy. Through the continuous optimization and update of the power grid control strategy, the adaptability and reliability of the system are improved. At the same time, the system can continuously accumulate experience and improve the decision-making quality during long-term operation, providing data support and decision-making basis for the future operation and management of the power grid.

[0164] Figure 9 Schematic flow of the power grid control strategy support method provided by the embodiment of the present application Figure 5 As Figure 9 shown, taking an electronic device as the execution subject and applying it to the distribution network operation management system, the method of this embodiment may include the following steps:

[0165] S501. Obtain real-time load information and frozen load data sent by the distribution network operation control system.

[0166] S502. Generate a power grid control strategy based on the real-time load information and the frozen load data.

[0167] Exemplarily, the distribution OMS can dynamically adjust the grid switch status of certain areas or switch the power supply path according to the real-time load information and the frozen load data to avoid overloading of the load.

[0168] S503. Send the power grid control strategy to the distribution network operation control system. The power grid control strategy includes the distribution network switch control requirements, and the distribution network switch control requirements represent controlling the closing or opening of the distribution network switch. When the distribution network operation control system successfully performs a simulation operation based on a preset control strategy simulation model according to the distribution network switch control requirements, it executes the distribution network switch control requirements.

[0169] Based on the above embodiment, the specific implementation manner of step S102 may be:

[0170] Determine the load fluctuation data of the distribution network according to the real-time load information;

[0171] Determine the remaining load capacity of the distribution network according to the difference between the load fluctuation data and the frozen load data;

[0172] Generate a power grid control strategy according to the remaining load capacity of the distribution network.

[0173] Among them, the load fluctuation data refers to the trend and fluctuation of load changes in the real-time load information.

[0174] In this embodiment, by calculating the difference between the load fluctuation data and the frozen load data, analyzing the increase or decrease of the load, it is determined whether the distribution network has sufficient remaining load capacity to meet the current load demand. If there is load data in the load fluctuation data that is higher than the frozen load data, the distribution OMS will evaluate whether this difference exceeds the capacity range of the distribution network. If it exceeds, the distribution OMS will calculate the remaining load capacity and evaluate the load amount that the distribution network can carry. Based on the remaining load capacity, corresponding control strategies are generated.

[0175] Exemplarily, if the remaining load capacity is insufficient, the distribution OMS can take measures such as restricting the load, adjusting the load flow direction, or controlling the switch to balance the load. If the remaining load capacity is relatively abundant, strategies such as load balancing and load reallocation can be executed to ensure the effective utilization of grid resources. If the load capacity approaches the limit, the distribution network switch control requirement in the grid control strategy can be to cut off the power supply to some equipment and control the distribution network switch to trip.

[0176] It can be understood that by comparing the real-time load information, load fluctuation data, and frozen load data, it helps the distribution network monitor the load changes, evaluate the remaining load capacity, and generate corresponding grid control strategies, which can ensure the stable operation of the grid, optimize the load distribution, and improve the response speed and automation level of the grid, realizing efficient and reliable power supply.

[0177] Based on the above embodiment, the specific implementation manner of step S102 can also be:

[0178] Determine the current load demand of the distribution network according to the real-time load information and the frozen load data;

[0179] Determine the maximum load bearing capacity of the distribution network and the load distribution during the peak electricity consumption period according to the grid power supply index and the peak-shaving early warning signal;

[0180] Determine whether there is an overload risk in the distribution network according to the current load demand, the maximum load bearing capacity, and the load distribution during the peak electricity consumption period;

[0181] Based on whether there is an overload risk in the distribution network, determine the load distribution adjustment information of the distribution network according to the load shedding load requirement;

[0182] Generate a grid control strategy according to the load distribution adjustment information.

[0183] It is understandable that by monitoring the matching of load demand and power supply capacity in real time, the overload risk can be effectively predicted and prevented, ensuring the stable operation of the power grid during peak load periods, avoiding power grid overload and equipment damage. Through off-peak warning signals and load distribution, it can help operation and maintenance personnel reasonably adjust the load distribution and optimize the load management during peak periods. Through off-peak scheduling, the overload of the power grid during peak power consumption periods is avoided, reducing the pressure on the power grid.

[0184] The power grid control strategy support method provided by the embodiments of this application realizes the dynamic adjustment and optimal control of the power grid load through the acquisition and analysis of real-time load data and frozen load data. Through an automated method, the operation of the power grid becomes more intelligent and efficient, capable of responding to various load changes in real time, and enhancing the stability and emergency response ability of the power grid.

[0185] Figure 10 This is the overall architecture diagram of the power grid control strategy support method provided by the embodiments of this application. As Figure 10 shown, the power grid control strategy support method provided in this embodiment, through the integrated sequence table load monitoring function, including sequence table data reception, sequence table load monitoring, and sequence table load calling service, the system can receive and monitor the power rationing sequence table data of the distribution network operation management system in real time, ensuring the accuracy and timeliness of the data, and providing a solid data basis for subsequent power rationing or power restoration decisions. In addition, forwarding the power rationing / power restoration control strategy generated by the distribution network OMS to the main network OCS significantly improves the response speed and accuracy, reducing the risk of power grid load overload. In addition, the power rationing / power restoration control strategy execution function, including single-step sequence control and one-key group control, not only improves the flexibility of operation but also optimizes the work efficiency of operation and maintenance personnel. Constructing a power rationing / power restoration control strategy simulation model further ensures the reliability and security of the control strategy, and reduces the risks that may occur in actual operations through pre-strategy verification. Finally, the power rationing result sending function enhances the transparency and timeliness of information transmission, making the operation of the power grid more efficient and stable.

[0186] The power grid control strategy support method provided by the embodiments of this application can effectively prevent the expansion of accidents and ensure the safe operation of the power grid based on accurate power rationing measures based on a detailed sequence table. In addition, the implementation of this system also means that manual intervention can be greatly reduced, the possibility of operation errors can be lowered, and power distribution can be optimized through real-time data analysis, improving the efficiency and reliability of the entire power grid.

[0187] Figure 11 This is the structural schematic Figure 1 of the power grid control strategy support device provided by the embodiments of this application. As Figure 11As shown in the figure, the power grid control strategy support device 60 of this embodiment is used to implement the operations corresponding to the distribution network operation control system in any of the above method embodiments. The power grid control strategy support device 60 of this embodiment includes:

[0188] A first acquisition module 601, configured to acquire a power grid control strategy issued by a distribution network operation management system, where the power grid control strategy includes distribution network switch control requirements;

[0189] A first obtaining module 602, configured to perform a simulation operation based on a preset control strategy simulation model according to the distribution network switch control requirements to obtain a simulation result, where the distribution network switch control requirements represent controlling the closing or opening of the distribution network switch;

[0190] An execution module 603, configured to execute the distribution network switch control requirements if the simulation result is a successful simulation execution.

[0191] In a possible implementation manner, the first obtaining module 602 is specifically configured to:

[0192] Based on a preset control strategy simulation model, according to the distribution network switch control requirements, determine a simulation operation for group control of switches in different substations in the distribution network, and a simulation operation for single-step sequential control of switches in the same substation, to obtain a simulation result.

[0193] In a possible implementation manner, the first obtaining module 602 is further configured to:

[0194] Acquire historical power grid data, where the historical power grid data includes load data and equipment parameters;

[0195] Train an initial control strategy simulation model according to the historical power grid data and the random forest algorithm to obtain a preset control strategy simulation model, where the initial control strategy simulation model is used to predict the operation result corresponding to the power grid control strategy.

[0196] In a possible implementation manner, the first acquisition module 601 is further configured to:

[0197] Acquire the power curtailment sequence table data published by the distribution network operation management system;

[0198] Update the initial power curtailment sequence table data according to the power curtailment sequence table data to obtain the updated power curtailment sequence table data;

[0199] Determine the real-time load information and frozen load data of the equipment in the distribution network according to the equipment ledger model and measurement point model data in the updated power curtailment sequence table data;

[0200] In response to the load measurement request of the sequence table sent by the distribution network operation management system, the real-time load information and frozen load data are sent to the distribution network operation management system, and the grid control strategy is generated based on the real-time load information and frozen load data.

[0201] In a possible implementation manner, the first acquisition module 601 is further configured to:

[0202] Forward the main grid switch control requirements to the main network operation control system, and the main network operation control system is used to execute the grid control strategy.

[0203] In a possible implementation manner, the execution module 603 is specifically configured to:

[0204] If the simulation result is that the simulation execution is successful, according to the current grid data of the distribution network and the distribution network switch control requirements in the grid control strategy, determine the execution time, rounds, and control instructions of the grid control strategy through cloud computing;

[0205] Control the closing or opening of the distribution network switch according to the execution time, rounds, and control instructions.

[0206] In a possible implementation manner, the execution module 603 is further configured to:

[0207] If the execution result is that the grid control strategy execution fails, perform a failure analysis on the execution result to obtain failure analysis information. The failure analysis includes checking data records, measuring the actual execution completion delay time, checking equipment failures, and checking communication problems;

[0208] Send the failure analysis information to the distribution network operation management system, and the distribution network operation management system is used to regenerate an optimized grid control strategy according to the fault information.

[0209] The grid control strategy support device 60 provided by the embodiments of the present application can execute the above method embodiments. For the specific implementation principles and technical effects, reference can be made to the above method embodiments, which will not be elaborated here in this embodiment.

[0210] Figure 12 The structural schematic diagram of the grid control strategy support device provided by the embodiments of the present application Figure 2 As Figure 12 shown, the grid control strategy support device 70 of this embodiment is used to implement the operations corresponding to the distribution network operation management system in any of the above method embodiments. The grid control strategy support device 70 of this embodiment includes:

[0211] A second acquisition module 701, configured to acquire real-time load information and frozen load data sent by the distribution network operation control system;

[0212] A generating module 702, configured to generate a power grid control strategy according to real-time load information and frozen load data;

[0213] A sending module 703, configured to send the power grid control strategy to a distribution network operation control system. The power grid control strategy includes distribution network switch control requirements, and the distribution network switch control requirements represent controlling the closing or opening of a distribution network switch. The distribution network operation control system is configured to, when a simulation operation is successfully performed according to the distribution network switch control requirements based on a preset control strategy simulation model, execute the distribution network switch control requirements.

[0214] In a possible implementation manner, the generating module 702 is specifically configured to:

[0215] Determine the load fluctuation data of the distribution network according to the real-time load information;

[0216] Determine the remaining load capacity of the distribution network according to the difference between the load fluctuation data and the frozen load data;

[0217] Generate a power grid control strategy according to the remaining load capacity of the distribution network.

[0218] In a possible implementation manner, the generating module 702 is further configured to:

[0219] Determine the current load demand of the distribution network according to the real-time load information and the frozen load data;

[0220] Determine the maximum load bearing capacity of the distribution network and the load distribution during the peak electricity consumption period according to the power grid power supply index and the peak shaving early warning signal;

[0221] Determine whether there is an overload risk in the distribution network according to the current load demand, the maximum load bearing capacity, and the load distribution during the peak electricity consumption period;

[0222] Based on whether there is an overload risk in the distribution network, determine the load distribution adjustment information of the distribution network according to the load shedding load requirements;

[0223] Generate a power grid control strategy according to the load distribution adjustment information.

[0224] The power grid control strategy support device 70 provided in the embodiments of the present application can execute the above method embodiments. For the specific implementation principles and technical effects, reference can be made to the above method embodiments, which will not be elaborated herein.

[0225] Figure 13 It is a schematic hardware structure diagram of an electronic device provided in the embodiments of the present application. As Figure 13 shown, the electronic device 80 is used to implement the operations corresponding to the electronic device in any of the above method embodiments. The electronic device 80 in this embodiment may include: a memory 801, a processor 802, and a communication interface 803.

[0226] A memory 801 for storing computer programs. The memory 801 may include a high-speed random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk memory, and may also be a USB flash drive, a portable hard drive, a read-only memory, a magnetic disk, or an optical disc, etc.

[0227] A processor 802 for executing the computer programs stored in the memory to implement the method in the above embodiments. For details, reference may be made to the relevant descriptions in the foregoing method embodiments. The processor 8080 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the invention may be directly embodied as being executed and completed by a hardware processor, or may be executed and completed by a combination of hardware and software modules in the processor.

[0228] Optionally, the memory 801 may be either independent or integrated with the processor 802.

[0229] When the memory 801 is a device independent of the processor 802, the electronic device 80 may further include a bus 804. The bus 804 is used to connect the memory 801 and the processor 802. The bus 804 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, the bus in the drawings of the present application is not limited to only one bus or one type of bus.

[0230] A communication interface 803, which may be connected to the processor 802 through the bus 804. The processor 802 may control the communication interface 803 to implement the functions of receiving and sending signals.

[0231] The electronic device provided in this embodiment can be used to execute the above grid control strategy support method, and its implementation manner and technical effects are similar, which will not be elaborated here in this embodiment.

[0232] The present application also provides a computer-readable storage medium, in which computer programs / instructions are stored. When the computer programs / instructions are executed by a processor, they are used to implement the methods provided by the above various embodiments.

[0233] Among them, the computer-readable storage medium can be a computer storage medium or a communication medium. The communication medium includes any medium that facilitates the transmission of computer programs from one place to another. The computer storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer. For example, the computer-readable storage medium is coupled to the processor, so that the processor can read information from the computer-readable storage medium and write information to the computer-readable storage medium. Of course, the computer-readable storage medium can also be a component of the processor. The processor and the computer-readable storage medium can be located in an Application Specific Integrated Circuits (ASIC). In addition, the ASIC can be located in a user device. Of course, the processor and the computer-readable storage medium can also exist as discrete components in a communication device.

[0234] Specifically, the computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random-Access Memory (SRAM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable read-only memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, a magnetic disk or an optical disk. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0235] The present application also provides a computer program product, which includes computer programs / instructions stored in a computer-readable storage medium. At least one processor of the device can read the computer programs / instructions from the computer-readable storage medium, and the execution of the computer programs / instructions by at least one processor causes the device to implement the methods provided by the above various embodiments.

[0236] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of devices or modules can be in electrical, mechanical or other forms.

[0237] Among them, each module can be physically separated. For example, it can be installed at different positions of a device, or installed on different devices, or distributed to multiple network units, or distributed to multiple processors. Each module can also be integrated together. For example, it can be installed in the same device, or integrated in a set of code. Each module can exist in the form of hardware, or can also exist in the form of software, or can also be implemented in the form of software plus hardware. The present application can select some or all of the modules according to actual needs to achieve the purpose of the solution of this embodiment.

[0238] It should be understood that although the steps in the flowcharts in the above embodiments are displayed in sequence according to the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and they can be executed in other orders. Moreover, at least a part of the steps in the figure can include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same time, but can be executed at different times. Their execution order does not necessarily have to be sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0239] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or fully authorized by all parties. And the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions, and corresponding operation entrances are provided for users to choose to authorize or refuse.

[0240] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for supporting power grid control strategies, characterized in that Applied to a distribution network operation control system, including: Obtain the grid control strategy issued by the distribution network operation management system, where the grid control strategy includes the requirements for controlling the switches of the distribution network; Based on a preset control strategy simulation model, perform a simulation operation according to the requirements for controlling the switches of the distribution network to obtain a simulation result, where the requirements for controlling the switches of the distribution network represent controlling the closing or opening of the switches of the distribution network; If the simulation result is successful in simulation execution, execute the requirements for controlling the switches of the distribution network.

2. The method according to claim 1, wherein The step of, based on a preset control strategy simulation model, performing a simulation operation according to the requirements for controlling the switches of the distribution network to obtain a simulation result includes: Based on the preset control strategy simulation model, according to the requirements for controlling the switches of the distribution network, determine the simulation operations for group control of the switches of different substations in the distribution network and the simulation operations for single-step sequential control of the switches of the same substation, and obtain a simulation result.

3. The method according to claim 2, wherein The preset control strategy simulation model is obtained through the following method: Obtain historical grid data, where the historical grid data includes load data and equipment parameters; Train an initial control strategy simulation model according to the historical grid data and the random forest algorithm to obtain the preset control strategy simulation model, where the initial control strategy simulation model is used to predict the operation result corresponding to the grid control strategy.

4. The method according to any one of claims 1 to 3, characterized in that, Before obtaining the grid control strategy issued by the distribution network operation management system, the method further includes: Obtain the data of the power rationing sequence table published by the distribution network operation management system; Update the initial power rationing sequence table data according to the data of the power rationing sequence table to obtain the updated data of the power rationing sequence table; Determine the real-time load information and frozen load data of the equipment in the distribution network according to the equipment ledger model and measurement point model data in the updated data of the power rationing sequence table; In response to the sequence table load measurement request issued by the distribution network operation management system, send the real-time load information and the frozen load data to the distribution network operation management system, and the grid control strategy is generated according to the real-time load information and the frozen load data.

5. The method according to claim 4, wherein The grid control strategy further includes the requirements for controlling the switches of the main grid, and the method further includes: Forward the requirements for controlling the switches of the main grid to the main grid operation control system, and the main grid operation control system is used to execute the grid control strategy.

6. The method according to any one of claims 1 to 3, characterized in that, The step of, if the simulation result is successful in simulation execution, then execute the requirements for controlling the switches of the distribution network includes: If the simulation result is successful in simulation execution, determine the execution time, rounds, and control instructions of the grid control strategy through cloud computing according to the current grid data of the distribution network and the requirements for controlling the switches of the distribution network in the grid control strategy; Control the closing or opening of the switches of the distribution network according to the execution time, the rounds, and the control instructions.

7. The method according to any one of claims 1 to 3, characterized in that, The method further includes: If the execution result is that the execution of the grid control strategy fails, perform a failure analysis on the execution result to obtain failure analysis information, and the failure analysis includes checking data records, measuring the actual execution completion delay time, checking equipment failures, and checking communication problems; Send the failure analysis information to the distribution network operation management system, which is used to regenerate an optimized power grid control strategy according to the fault information.

8. A method for supporting a power grid control strategy, characterized in that, Applied to the distribution network operation management system, it includes: Obtain the real-time load information and frozen load data sent by the distribution network operation control system; Generate a power grid control strategy according to the real-time load information and the frozen load data; Send the power grid control strategy to the distribution network operation control system. The power grid control strategy includes the distribution network switch control requirements, which represent controlling the closing or opening of the distribution network switch. When the distribution network operation control system successfully performs simulation operations based on a preset control strategy simulation model according to the distribution network switch control requirements, it executes the distribution network switch control requirements.

9. The method according to claim 8, characterized in that, The generating a power grid control strategy according to the real-time load information and the frozen load data includes: Determine the load fluctuation data of the distribution network according to the real-time load information; Determine the remaining load capacity of the distribution network according to the difference between the load fluctuation data and the frozen load data; Generate the power grid control strategy according to the remaining load capacity of the distribution network.

10. The method according to claim 9, wherein The method further includes: Determine the current load demand of the distribution network according to the real-time load information and the frozen load data; Determine the maximum load carrying capacity and the load distribution during the peak power consumption period of the distribution network according to the power grid power supply index and the peak load shifting early warning signal; Determine whether there is an overload risk in the distribution network according to the current load demand, the maximum load carrying capacity, and the load distribution during the peak power consumption period; Based on whether there is an overload risk in the distribution network, determine the load distribution adjustment information of the distribution network according to the load shedding load requirements; Generate the power grid control strategy according to the load distribution adjustment information.

11. A device for supporting power grid control strategies, characterized in that, Applied to the distribution network operation control system, it includes: A first acquisition module, configured to acquire the power grid control strategy issued by the distribution network operation management system. The power grid control strategy includes the distribution network switch control requirements; A first obtaining module, configured to perform simulation operations based on a preset control strategy simulation model according to the distribution network switch control requirements to obtain a simulation result. The distribution network switch control requirements represent controlling the closing or opening of the distribution network switch; An execution module, configured to execute the distribution network switch control requirements if the simulation result is successful in simulation execution.

12. A power grid control strategy support device, characterized in that, Applied to the distribution network operation management system, it includes: A second acquisition module, configured to acquire the real-time load information and the frozen load data sent by the distribution network operation control system; A generation module, configured to generate a power grid control strategy according to the real-time load information and the frozen load data; A sending module, configured to send the power grid control strategy to the distribution network operation control system. The power grid control strategy includes the distribution network switch control requirements, which represent controlling the closing or opening of the distribution network switch. When the distribution network operation control system successfully performs simulation operations based on a preset control strategy simulation model according to the distribution network switch control requirements, it executes the distribution network switch control requirements.

13. An electronic device, characterized in that, It includes: Memory and processor; The memory is used for storing a computer program; The processor is used for executing the computer program stored in the memory to implement the method according to any one of claims 1 to 10.

Images