Distributed processing system for power grid accidents combined with edge energy storage

Abstract

The present invention discloses a distributed processing system for power grid accidents combined with edge energy storage, which relates to the technical field of distribution networks. The system includes: connecting a power grid data storage unit to extract basic accident features associated with power grid accidents; establishing multiple distributed processing units; obtaining an initialized distributed processing structure; performing overlapping analysis on response ranges associated with multiple distributed processing units, and adding chain response tags; establishing an information sharing channel between multiple distributed energy storage nodes; using the information sharing channel for dynamic energy supply scheduling; optimizing with the goal of maximizing power grid stability to obtain a distributed processing structure. The system solves the technical problem that it is difficult to accurately extract the basic features of power grid accidents in existing power grid accident processing, making it impossible to quickly and accurately respond to power grid accidents in different regions, resulting in a decrease in the timeliness and effectiveness of accident processing, and achieves the technical effect of improving the accuracy, flexibility and response speed of power grid accident processing.

Description

Technical Field

[0001] The present application relates to the technical field related to distribution networks, and specifically to a distributed processing system for power grid accidents combined with edge energy storage. Background Art

[0002] With the continuous growth of electricity demand and the complexity of power networks, the safe and stable operation of power grids has become an important concern of the power industry. As an important infrastructure of modern society, the safety and stability of power grid operation directly affect industrial production, residents' lives and economic development. However, during the operation of power grid systems, various emergencies often occur, such as equipment failures, power outages caused by natural disasters, etc., which not only lead to power supply interruptions, but also may cause large-scale chain reactions and even cause the collapse of the entire power grid system. Traditional power grid accident handling methods are usually concentrated in the central control system and rely on real-time monitoring and scheduling of central nodes. Although they can manage power grid accidents in a unified manner, there are problems such as response delay, high data processing pressure, and limited accident scope. Especially when large-scale power grid accidents occur, a single centralized processing method cannot respond quickly and accurately to accidents in different regions, resulting in a decrease in the timeliness and effectiveness of accident handling. In addition, with the increasing complexity of the power grid structure and the continuous expansion of its scale, the load distribution of the power grid is more dispersed, and a single-point accident may cause a large-scale power outage. How to carry out distributed processing of power grid accidents to reduce the pressure on the central control system and improve the flexibility and response speed of accident handling has become an important direction for the current development of power grid technology.

[0003] Therefore, in the current technologies related to power grid accident handling, there is a technical problem that it is difficult to accurately extract the basic characteristics of power grid accidents, making it impossible to respond quickly and accurately to power grid accidents in different regions, resulting in a decrease in the timeliness and effectiveness of accident handling. Summary of the invention

[0004] This application solves the technical problem that it is difficult to accurately extract the basic characteristics of power grid accidents in existing power grid accident processing, making it impossible to respond quickly and accurately to power grid accidents in different regions, resulting in a decrease in the timeliness and effectiveness of accident processing, by providing a distributed power grid accident processing system combined with edge energy storage. The application achieves the technical effect of improving the accuracy, flexibility and response speed of power grid accident processing.

[0005] The present application provides a distributed processing system for power grid accidents combined with edge energy storage, the system comprising: an accident basic feature extraction module, used to connect to a power grid data storage unit, extract the basic features of accidents associated with power grid accidents, the basic features of accidents including fault time, fault location, and fault type; a distributed processing unit establishment module, used to establish multiple distributed processing units with the basic features of accidents as root nodes, the distributed processing units including power grid monitoring nodes, fault detection nodes, and processing nodes; an initialization distributed processing structure acquisition module, used to obtain a target power grid topology structure, mark key coordinates, and obtain an initialized distributed processing structure through the key coordinates of the target power grid topology structure and multiple distributed processing units; a response range overlap analysis module, used to perform overlap analysis on the response range associated with the multiple distributed processing units from P power supply ends to Q user ends of the target power grid topology structure, and add a chain response mark, wherein the first chain response mark corresponds to the first P power supply ends to the first Q user ends. The second chain response mark corresponds to the first P power supply terminals to the second Q user terminals. a distributed processing unit; an information sharing channel establishing module, used to introduce multiple distributed energy storage nodes based on the initialized distributed processing structure, and establish an information sharing channel between the multiple distributed energy storage nodes, wherein the distributed energy storage nodes are used to support critical loads; a dynamic energy supply scheduling module, used to use the information sharing channel for dynamic energy supply scheduling according to the first chain response mark, the second chain response mark, ..., the P×Q chain response mark in the chain response mark; a distributed processing structure obtaining module, used to simultaneously, based on the initialized distributed processing structure, in combination with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, optimize with the goal of maximizing the stability of the power grid to obtain a distributed processing structure.

[0006] In a possible implementation, the response range overlap analysis module further performs the following processing: taking the P power supply ends of the target power grid topology structure as the starting point and the Q user ends of the target power grid topology structure as the end point, obtaining P×Q power transmission paths; based on the P×Q power transmission paths, determining the first power transmission path between the first P power supply ends and the first Q user ends; performing overlap analysis on the response ranges associated with the multiple distributed processing units through the first power transmission path, and determining Distributed processing units.

[0007] In a possible implementation, the response range overlap analysis module further performs the following processing: determining connectivity between multiple power transmission branches in the response range associated with the first distributed processing unit and the first power transmission path one by one; if connected, marking the first distributed processing unit and the first power transmission path with a first chain response mark.

[0008] In a possible implementation, the information sharing channel establishing module also performs the following processing: based on the multiple distributed energy storage nodes, according to the order of energy supply load from small to large, obtain the energy supply load sequence of the multiple distributed energy storage nodes; obtain the rated operating parameters of the multiple distributed energy storage nodes, and establish an information sharing mechanism through the energy supply load sequence of the multiple distributed energy storage nodes; based on the information sharing mechanism, use the information sharing channel between the multiple distributed energy storage nodes to upload the energy scheduling requirements.

[0009] In a possible implementation, the information sharing channel establishment module also performs the following processing: based on the energy supply scheduling demand, in the order of the energy supply scheduling losses of the multiple distributed energy storage nodes from small to large, obtain the energy supply loss sequence of the multiple distributed energy storage nodes; through the energy supply loss sequence, prioritize the energy supply scheduling of the multiple distributed energy storage nodes, and establish an auxiliary scheduling mechanism, the auxiliary scheduling mechanism includes a starting energy supply time node; through the starting energy supply time node, determine the window period, and at the same time, identify the U distributed energy storage nodes that are closest to the energy storage nodes, and set up an emergency scheduling mechanism through the energy supply scheduling demand and the U distributed energy storage nodes.

[0010] In a possible implementation, the information sharing channel establishment module further performs the following processing: obtaining a remaining energy storage sequence of the multiple distributed energy storage nodes in order of the remaining energy storage amounts of the multiple distributed energy storage nodes from small to large; performing a one-to-one comparison with the U distributed energy storage nodes through the remaining energy storage sequence; if the comparison passes, adding an energy supply scheduling failure mark to the first distributed energy storage node that passes the comparison, wherein the first distributed energy storage node is any one of the U distributed energy storage nodes.

[0011] In a possible implementation, the distributed processing structure acquisition module also performs the following processing: connecting to a power grid data storage unit to obtain historical power grid accident data; through the historical power grid accident data, in the initialized distributed processing structure, combining the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, obtaining a power grid stability simulation index; on the basis of the initialized distributed processing structure, optimizing with the goal of maximizing the power grid stability defined by the power grid stability simulation index to obtain a distributed processing structure.

[0012] In a possible implementation, the distributed processing structure acquisition module also performs the following processing: introducing an automatic protection unit of the target power grid topology structure, the automatic protection unit including a relay protection device and an automatic reclosing device; determining a protection strategy through the automatic protection unit of the target power grid topology structure, the protection strategy including a first coordinated protection action and a first fault line cut-off combination, a second coordinated protection action and a second fault line cut-off combination, ..., an Nth coordinated protection action and an Nth fault line cut-off combination; determining the distributed processing structure through the protection strategy with the adaptation of the target power grid topology structure and changes in operating conditions as constraints.

[0013] The distributed power grid accident processing system combined with edge energy storage proposed in this application is intended to connect the power grid data storage unit, extract the basic accident characteristics associated with the power grid accident; establish multiple distributed processing units; obtain an initialized distributed processing structure; perform overlapping analysis on the response ranges associated with multiple distributed processing units, and add chain response tags; establish an information sharing channel between multiple distributed energy storage nodes; use the information sharing channel for dynamic energy supply scheduling; optimize with the goal of maximizing power grid stability to obtain a distributed processing structure. This solves the technical problem that it is difficult to accurately extract the basic characteristics of power grid accidents in existing power grid accident processing, making it impossible to quickly and accurately respond to power grid accidents in different regions, resulting in a decrease in the timeliness and effectiveness of accident processing, and achieves the technical effect of improving the accuracy, flexibility and response speed of power grid accident processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic diagram of the structure of a distributed power grid accident processing system combined with edge energy storage provided in an embodiment of the present application;

[0016] Figure 2 A schematic diagram of the execution flow of an information sharing channel establishment module in a distributed power grid accident processing system combined with edge energy storage provided in an embodiment of the present application.

[0017] Explanation of the accompanying drawings: accident basic feature extraction module 10, distributed processing unit establishment module 20, initialization distributed processing structure acquisition module 30, response range overlap analysis module 40, information sharing channel establishment module 50, dynamic energy supply scheduling module 60, distributed processing structure acquisition module 70. DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or components that are not clearly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a distributed processing system for power grid accidents combined with edge energy storage, such as Figure 1 As shown, the distributed processing system for power grid accidents combined with edge energy storage includes: an accident basic feature extraction module 10, a distributed processing unit establishment module 20, an initialization distributed processing structure acquisition module 30, a response range overlap analysis module 40, an information sharing channel establishment module 50, a dynamic energy supply scheduling module 60, and a distributed processing structure acquisition module 70.

[0022] The accident basic feature extraction module 10 is used to connect to the power grid data storage unit to extract the accident basic features associated with the power grid accident, wherein the accident basic features include fault time, fault location, and fault type.

[0023] Preferably, basic accident characteristics associated with power grid accidents are extracted by connecting to a power grid data storage unit, wherein the power grid data storage unit is a key component in the power grid management system for storing and managing various power grid operation data, and is mainly responsible for collecting, storing, processing and retrieving historical data and real-time data related to the power grid, including data from various equipment, sensors and monitoring systems in the power grid, to support power grid monitoring, fault diagnosis, accident handling and optimized scheduling, etc. Specifically, key information directly related to power grid accidents, i.e., basic accident characteristics, is obtained from the power grid data storage unit.

[0024] Preferably, the basic characteristics of the accident include fault time, fault location, and fault type. The fault time refers to the precise time point when the power grid accident occurs, which is usually recorded in the timestamp format of "year-month-day hour: minute: second". It can not only help the system confirm the exact time when the fault occurs, but also be associated with historical data, analyze the frequent time period of faults, the influence of weather or season, etc., and then predict potential fault risks. Through the record of fault time, it can be determined whether multiple accidents occur in the same time period, so as to infer whether there are systemic problems or external influences (such as widespread power grid failures caused by extreme weather). For example, if the fault time is concentrated in the peak power consumption period, the power grid dispatching system can predict the load based on historical data and optimize the dispatching in advance to prevent similar faults from happening again; the fault location refers to the specific physical location where the power grid accident occurs, which is usually marked with geographic coordinates (such as longitude and latitude), equipment number or line identifier. The power grid covers a wide range and involves many devices. The accurate fault location can help operation and maintenance personnel quickly locate the fault point, thereby saving troubleshooting time and shortening fault handling time. For example, the fault location is a section of a high-voltage transmission line. Since the line spans multiple regions, the system accurately marks the fault point through geographic information.

[0025] Preferably, the fault type refers to the specific nature of the power grid accident, describing the cause of the accident and the specific manifestations of the accident. Different types of faults may trigger different protection and processing measures. Common power grid fault types include short circuit faults (caused by low impedance paths between conductors or between conductors and ground, resulting in a surge in current, which may burn equipment, cause arcs or cause large-scale power outages), overload faults (the current borne by the line or equipment exceeds its design capacity, causing the equipment to overheat, shorten its service life, and may even cause fire), ground faults (a conductive connection occurs between one or more phases of the power equipment and the ground, which may be caused by insulation damage, equipment aging or external interference, such as falling trees touching the line), equipment failure (mechanical or electrical failure of power grid equipment such as transformers, switches, circuit breakers, etc., resulting in poor power transmission or even large-scale power outages), frequency anomalies (when power generation and power consumption in the power grid are unbalanced, frequency and voltage fluctuations may be caused, resulting in reduced efficiency or direct damage to power equipment), etc.; through accurate judgment of the fault type, corresponding automatic protection measures can be triggered according to different fault types to ensure that the fault does not expand and the efficiency and accuracy of the handling of power grid accidents, thereby ensuring the safety and stability of the power grid.

[0026] The distributed processing unit establishment module 20 is used to establish multiple distributed processing units with the accident basic characteristics as the root node, and the distributed processing units include power grid monitoring nodes, fault detection nodes, and processing nodes.

[0027] Preferably, based on the extracted basic features of power grid accidents (such as fault time, fault location, fault type, etc.) as the core, a distributed and intelligent accident handling system is created, which is composed of multiple nodes with different functions, which are scattered in various parts of the power grid and work together to detect, analyze and handle accidents, thereby improving the efficiency and reliability of power grid accident response. Specifically, based on the basic features of the accident (such as time, location, type), it is used as the starting point of the processing logic of the entire distributed system, and appropriate distributed processing units are flexibly configured according to different features, and distributed processing units are established to perform fault detection, response and repair. The distributed processing unit refers to a plurality of processing modules with dispersed functions but working in collaboration. These modules are distributed in different locations of the power grid. Each distributed processing unit contains multiple nodes, which are specifically responsible for different tasks, such as power grid monitoring, fault detection and accident handling, and the number of processing units can be flexibly expanded or reduced according to the scale of the power grid and the requirements of accident handling. The overall workflow of the distributed processing unit is that when a fault occurs somewhere in the power grid, the power grid monitoring node first monitors the abnormality of the power grid operation parameters (such as excessive current, unstable voltage, etc.) in real time, and then the monitoring node uploads these data to the fault detection node. The fault detection node analyzes the abnormal data to determine the type, location and possible cause of the fault. After receiving the fault information, the final processing node implements automated fault handling measures, including fault isolation, load scheduling and automatic recovery operations.

[0028] Preferably, the distributed processing unit includes a power grid monitoring node, a fault detection node, and a processing node. The power grid monitoring node is a basic module in the distributed processing unit, responsible for real-time monitoring of the operating status of the power grid and collecting data related to the accident. It is usually deployed in key locations of the power grid, such as substations, transmission lines, distribution networks and other areas, and is responsible for monitoring parameters such as current, voltage, frequency, and equipment status in the power grid; the fault detection node is an analysis and diagnosis module in the distributed processing unit, specifically responsible for identifying and determining the specific type, cause, and impact range of power grid accidents. The fault detection node analyzes the data collected by the power grid monitoring node and makes a preliminary diagnosis of the fault in combination with the basic characteristics of the accident; the processing node is an execution module in the distributed processing unit, responsible for implementing fault handling and power supply restoration operations according to the analysis results of the fault detection node, including accident isolation, load scheduling, and automatic recovery. For example, when the fault detection node confirms that a line is short-circuited, the processing node can immediately execute the operation of cutting off the line and try to supply power to the affected users through other lines, while notifying the operation and maintenance personnel to go to the site to repair the fault.

[0029] The initialization distributed processing structure acquisition module 30 is used to acquire the target power grid topology structure, mark the key coordinates, and obtain the initialization distributed processing structure through the key coordinates of the target power grid topology structure and multiple distributed processing units.

[0030] Preferably, by modeling the physical structure and electrical connection relationship of the power grid system, identifying and marking the coordinates of key locations or nodes in the power grid, and combining the layout of multiple distributed processing units, an initial distributed processing structure for power grid accident processing is constructed. Specifically, the power grid topology is the connection relationship between various power equipment in the power grid (such as substations, transmission lines, generator sets, distribution networks, etc.). The target power grid topology is a model of the overall electrical connection layout of the power grid area currently to be monitored or processed. The target power grid topology describes the physical or logical location of each power node, line and equipment in the power grid, as well as the electrical connection between them, such as obtaining real-time power grid connection information through the power grid's SCADA system (supervisory control and data acquisition system), and obtaining the physical location of the power grid and the coordinates of key equipment through GIS (geographic information system).

[0031] Preferably, nodes or locations that are of great significance in power grid operation and accident handling are identified and marked in the power grid topology. These key coordinates usually include important equipment nodes in the power grid, high-prone areas for faults, or bottleneck locations in system operation, so that when a power grid accident occurs, the system can quickly identify important areas or equipment related to the accident, thereby optimizing the working scope and priority of the distributed processing units. For example, if a substation is a central node in the power grid that supplies power to multiple key areas, it is marked as a key coordinate. When an accident occurs, the system will give priority to ensuring the stable operation of the substation, or quickly perform fault isolation and load transfer when it fails, and then use the key coordinates in the target power grid topology to optimize the working scope and priority of the distributed processing units. Key coordinates, reasonably layout these distributed processing units so that they cover different areas and key nodes of the entire power grid, ensuring that each area has a distributed unit responsible for monitoring and processing. Specifically, according to the connection relationship of the power grid topology, the power flow path, important nodes and high-prone areas of faults in each key area are determined, and various nodes in the distributed processing units (such as monitoring nodes, fault detection nodes, and processing nodes) are deployed to the power grid topology structure. For example, power grid monitoring and fault detection nodes are deployed in areas such as substations and key nodes of transmission lines. Finally, an initialized distributed processing structure is obtained, which includes the key node information of the power grid, the layout of distributed processing units, and the task allocation scope of each processing unit.

[0032] The response range overlap analysis module 40 is used to perform overlap analysis on the response ranges associated with the plurality of distributed processing units from the P power supply ends to the Q user ends of the target power grid topology structure, and add chain response marks, wherein the first chain response mark corresponds to the response range between the first P power supply end and the first Q user end. The second chain response mark corresponds to the first P power supply terminals to the second Q user terminals. Distributed processing units.

[0033] Preferably, according to the topological structure of the power grid, the power transmission path between P power supply terminals (such as power plants, substations) and Q user terminals (such as factories, residential areas, etc.) and the response range of the distributed processing unit are analyzed to identify possible intersections and overlapping areas between multiple power supply terminals and user terminals, and then chain response marks are added to these overlapping areas, so that when a power grid accident occurs, the system can identify which processing units need to respond first and how to work together to handle the accident. Specifically, in the power grid topology, the power supply terminal and the user terminal are interconnected through nodes such as transmission lines and substations, forming a power transmission path. For example, in a regional power grid, there may be 3 power supply terminals (P=3), namely two power stations and a large substation; at the same time, there are 5 user terminals (Q=5), including factory A, shopping mall B, residential area C, hospital D and school E. Each user terminal receives power from one or more power supply terminals through transmission lines.

[0034] Preferably, the response range of the distributed processing unit refers to the physical area or part of the power grid that each distributed processing unit is responsible for monitoring and processing. The response range of each distributed processing unit may overlap, especially in a complex power grid structure where multiple power supply ends supply power to multiple user ends. Overlap analysis is to analyze whether there is overlap between the power transmission path between P power supply ends and Q user ends and the response range of the distributed processing unit, and identify which areas or lines may be monitored by multiple processing units, and which processing units need to take joint action when an accident occurs, and add a chain response mark. The chain response mark refers to a mark assigned to the power transmission path or distributed processing unit between the power supply end and the user end after the system performs overlap analysis, indicating which distributed processing units need to perform a chain response when a fault occurs between a power supply end and a user end, and how to coordinate their work.

[0035] Preferably, the first chain response mark corresponds to the power transmission path from the first power supply end to the first user end, involving For example, power station 1 supplies power to factory A through transmission line 1. This path may involve processing unit A and processing unit B. By analyzing and marking this path as the first chain response mark, it indicates that when a fault occurs between power station 1 and factory A, processing units A and B need to respond together; the second chain response mark corresponds to the transmission path from the first power supply end to the second user end. For example, power station 1 also supplies power to shopping mall B. This path may involve processing unit C. A second chain response mark is added to this path to indicate that when a fault occurs between power station 1 and shopping mall B, processing unit C needs to respond.

[0036] The specific configuration of the response range overlap analysis module 40 also includes taking the P power supply ends of the target power grid topology structure as the starting point and the Q user ends of the target power grid topology structure as the end point to obtain P×Q power transmission paths; based on the P×Q power transmission paths, determining the first power transmission path between the first P power supply ends and the first Q user ends; through the first power transmission path, performing overlap analysis on the response ranges associated with the multiple distributed processing units to determine Distributed processing units.

[0037] Preferably, power is transmitted from P power supply terminals (starting points) to Q user terminals (end points), forming multiple power transmission paths, each path from a power supply terminal to a user terminal, P×Q paths mean all possible combinations of transmission paths from power supply terminals to user terminals in the power grid, and among all P×Q paths, firstly a specific path is selected, usually referring to the power transmission path from a power supply terminal (P1) to a user terminal (Q1), i.e., the first power transmission path, and then the first power transmission path is compared with the response range of the distributed processing unit to determine which processing units are covered on this path, analyze whether there is overlap in the coverage range of these processing units, understand which processing units on the path are responsible for monitoring or handling accidents, and determine Distributed processing units.

[0038] The specific configuration of the response range overlap analysis module 40 also includes determining whether multiple power transmission branches in the response range associated with the first distributed processing unit are connected to the first power transmission path one by one; if connected, marking the first distributed processing unit and the first power transmission path through a first chain response mark.

[0039] Preferably, by analyzing multiple power transmission branches within the response range of the distributed processing unit, it is determined whether they are connected to the target power transmission path (i.e., the first power transmission path). If they are connected, the first distributed processing unit and the first power transmission path are marked. Specifically, there may be multiple power transmission branches within the response range of the distributed processing unit. Each power transmission branch within the response range of the distributed processing unit is compared with the target first power transmission path to determine whether these branches are physically or electrically connected to the main path. If they are connected, it means that the response range of the distributed processing unit covers a part of this path. When an accident occurs, these processing units can be dispatched to handle the fault, that is, these branches and the target transmission path intersect at certain nodes or share the same equipment (such as substations, transmission lines, etc.). Then, these connected paths and processing units are marked so that the relevant processing units can be quickly identified when a fault occurs, and these processing units are coordinated to perform a chain response to ensure the continuity of power supply and the rapid handling of the fault.

[0040] The information sharing channel establishing module 50 is used to introduce a plurality of distributed energy storage nodes based on the initialization distributed processing structure, and establish an information sharing channel between the plurality of distributed energy storage nodes, wherein the distributed energy storage nodes are used to support critical loads.

[0041] Preferably, distributed energy storage nodes are added on the basis of the constructed distributed structure for handling power grid accidents to improve the flexibility and stability of the power grid in responding to accidents, and the coordinated work between energy storage nodes is realized through the information sharing mechanism. Specifically, the distributed energy storage nodes are energy storage devices deployed in different areas of the power grid, which may include battery energy storage systems (such as lithium batteries, liquid flow batteries), flywheel energy storage systems or other forms of energy storage devices, which are mainly used to provide backup power in the event of power grid accidents or failures to support key loads in the power grid and prevent important equipment or areas from being affected by power outages due to accidents, such as ensuring continuous power supply to hospitals, important industrial facilities, communication networks, etc.; then, an information sharing channel is established between multiple distributed energy storage nodes, that is, a real-time information transmission mechanism is established between each energy storage node, so that different energy storage nodes can share their status, energy storage capacity, power demand and other information. Through this information sharing mechanism, each energy storage node can work together to optimize the allocation and scheduling of energy storage resources, including capacity sharing, load balancing and fault linkage.

[0042] like Figure 2As shown, the specific configuration of the information sharing channel establishing module 50 also includes, based on the multiple distributed energy storage nodes, obtaining the energy supply load sequence of the multiple distributed energy storage nodes according to the order of energy supply load from small to large; obtaining the rated operating parameters of the multiple distributed energy storage nodes, and establishing an information sharing mechanism through the energy supply load sequence of the multiple distributed energy storage nodes; based on the information sharing mechanism, utilizing the information sharing channel between the multiple distributed energy storage nodes to upload the energy supply scheduling requirements.

[0043] Preferably, multiple distributed energy storage nodes work together according to their load status and operating parameters. By establishing a sorting and information sharing mechanism for energy supply loads, it is ensured that the energy storage nodes can share status information in real time, and dynamically dispatch energy supply resources according to power demand to ensure the stable operation of the power grid. Specifically, by analyzing the load status of multiple energy storage nodes and arranging them in order from small to large, an energy supply load sequence is formed, wherein the energy supply load refers to the power load actually output by each energy storage node to the power grid. By sorting the energy supply loads, the system can prioritize the dispatching of nodes with smaller loads to ensure that nodes with larger loads can retain more when necessary. power reserves, thereby improving the utilization efficiency of the overall energy storage system; then understand the rated operating parameters of multiple distributed energy storage nodes, including energy storage capacity, rated output power, charging and discharging speed, etc., and establish an information sharing mechanism between multiple energy storage nodes, so that each node can share its status information (such as current energy storage status, load conditions, operating parameters, etc.) in real time. Finally, based on the information sharing mechanism, upload the energy supply scheduling requirements, that is, according to the real-time load changes or fault conditions of the power grid, send instructions to each energy storage node, requiring them to increase or decrease the power supply according to the current power demand, or transfer the load to maintain the stability of the power grid.

[0044] The specific configuration of the information sharing channel establishment module 50 also includes: based on the energy supply scheduling demand, in accordance with the energy supply scheduling loss of the multiple distributed energy storage nodes in ascending order, obtaining the energy supply loss sequence of the multiple distributed energy storage nodes; according to the energy supply loss sequence, prioritizing the energy supply scheduling of the multiple distributed energy storage nodes, and establishing an auxiliary scheduling mechanism, the auxiliary scheduling mechanism includes a starting energy supply time node; through the starting energy supply time node, determining the window period, and at the same time, identifying the U distributed energy storage nodes closest to the distance, and setting an emergency scheduling mechanism through the energy supply scheduling demand and the U distributed energy storage nodes.

[0045] Preferably, the energy supply loss of multiple distributed energy storage nodes is utilized for optimized scheduling to ensure that energy loss is minimized during the power demand scheduling process. At the same time, through the auxiliary scheduling mechanism, the system can flexibly handle the activation order and timing of the energy storage nodes, and urgently call the nearest energy storage node according to the power grid demand to cope with sudden changes in power demand or accidents. Specifically, the energy supply scheduling loss refers to the energy loss generated by the distributed energy storage node in the energy supply process, which usually includes the energy loss in the power transmission process, the energy conversion loss of the energy storage node itself, etc. The smaller the loss, the higher the energy supply efficiency of the node. Multiple energy storage nodes are arranged in order from small to large according to the energy supply scheduling loss to form an energy supply loss sequence.

[0046] Preferably, based on the energy supply loss sequence, the energy storage nodes are prioritized according to the size of the loss. Nodes with smaller losses have higher priorities, which means that they are selected for power supply first when scheduling power supply. In order to further optimize the efficiency of energy supply scheduling, the system introduces an auxiliary scheduling mechanism, which takes into account the energy supply loss of the energy storage nodes, the starting energy supply time node (that is, the time when each node starts to supply power), and other dynamic factors to ensure that the energy storage nodes can be flexibly scheduled when an emergency occurs in the power grid. The starting energy supply time node refers to the time point when each energy storage node starts to supply power; finally, the starting energy supply time node is used to determine the window period, that is, the time when the energy storage nodes are in the energy supply scheduling process. The period of time when electricity is vacant usually occurs between the energy supply cycles of energy storage nodes or when some energy storage nodes are temporarily unable to supply power due to charging, maintenance, etc. If a certain power transmission path fails or the power supply is interrupted, the U distributed energy storage nodes with the closest distance and the smallest loss are quickly identified and dispatched. Based on the energy supply scheduling requirements and the situation of the U energy storage nodes, an emergency scheduling mechanism is set up to ensure that these nodes can quickly intervene in the power supply. During the setting process, the system will consider factors such as the node's energy supply loss, stored power, and distance from the fault point to ensure that the emergency scheduling is both efficient and reliable. The system can quickly restore power supply in an emergency and avoid long-term power outages.

[0047] The specific configuration of the information sharing channel establishment module 50 also includes obtaining the remaining energy storage sequence of the multiple distributed energy storage nodes in order of the remaining energy storage amounts of the multiple distributed energy storage nodes from small to large; performing a one-to-one comparison with the U distributed energy storage nodes through the remaining energy storage sequence; if the comparison passes, adding an energy supply scheduling failure mark to the first distributed energy storage node that passes the comparison, wherein the first distributed energy storage node is any one of the U distributed energy storage nodes.

[0048] Preferably, by analyzing the remaining energy storage of multiple energy storage nodes, their energy storage conditions are arranged in order from small to large, and compared one by one with the U distributed energy storage nodes that have been identified. If the remaining energy storage of a certain energy storage node is insufficient to support the current or future power supply demand, an energy supply scheduling failure mark is added to the node. Specifically, the remaining energy storage refers to the remaining available electric energy of each energy storage node. The lower the remaining energy storage, the more limited the ability of the energy storage node to continue to supply power. According to the remaining energy storage of each energy storage node, all energy storage nodes are sorted in order from small to large to form a remaining energy storage sequence. Then, the energy storage nodes in the remaining energy storage sequence are compared with the U energy storage nodes one by one to check whether the remaining energy storage of these energy storage nodes is sufficient to support the energy supply demand. If a certain energy storage node is confirmed to have insufficient remaining energy storage during the comparison process to continue to provide effective energy supply, the node will be marked as energy supply scheduling failure, indicating that the node will no longer be considered for use in the current or future energy supply scheduling to avoid power supply failures due to insufficient energy storage. The first distributed energy storage node is any one of the U distributed energy storage nodes.

[0049] The dynamic energy supply scheduling module 60 is used to use the information sharing channel to dynamically schedule energy supply according to the first chain response mark, the second chain response mark, ..., and the P×Qth chain response mark in the chain response mark.

[0050] Preferably, through chain response marks and information sharing channels, the power transmission between multiple power supply ends and user ends in the power grid is coordinated and managed to ensure that when a fault occurs or the load changes, the energy supply plan can be dynamically adjusted and the power resources of the distributed energy storage nodes can be deployed in time to ensure the stable operation of the power grid. Specifically, when a power supply path in the power grid fails, or the power demand at the user end changes (such as a surge or decrease in load), the distributed processing units and energy storage nodes will detect this change through the monitoring system, and determine which distributed processing units and energy storage nodes need to adjust the power supply according to the chain response marks of the power supply path (such as the first chain response mark, the second chain response mark, etc.). The energy storage nodes share their current energy storage status, power demand and load conditions through the information sharing channel. If the energy storage of a certain energy storage node is insufficient to support its load, the system will automatically coordinate other energy storage nodes to intervene and share the load. Finally, according to the chain response marks and shared information, the allocation of power resources is dynamically adjusted to ensure stable power supply to key areas and important equipment.

[0051] The distributed processing structure acquisition module 70 is used to simultaneously optimize the distributed processing structure based on the initialized distributed processing structure, combined with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, with the goal of maximizing the stability of the power grid to obtain the distributed processing structure.

[0052] Preferably, based on the initialization of the distributed processing structure, combined with the layout of the energy storage nodes and the monitoring, detection and fault handling scope of the distributed processing units, by comprehensively considering factors such as power supply, energy storage capacity and response efficiency, a global system optimization is performed to obtain the final distributed processing structure, ensuring that when a power grid accident occurs, the system can maintain the stability of the power grid with the highest efficiency. Specifically, power grid stability refers to the ability of the power grid to maintain power supply continuity and power quality when facing load fluctuations, equipment failures or external disturbances. Optimization with the goal of maximizing power grid stability (including optimal response speed, reasonable power dispatching, balanced load distribution and minimal impact of faults) refers to maximizing the stability of the power grid, ensuring that in the most unfavorable situation, the energy storage nodes and distributed processing units can work in coordination, quickly restore power supply, and minimize the impact of faults on other parts of the power grid. After global optimization of the layout of energy storage nodes, the response range of distributed processing units, power load distribution and other aspects, the final distributed processing structure is formed. The structure can dynamically adjust the working mode of the energy storage nodes and processing units according to the actual operating status of the power grid to maximize the stability of the power grid.

[0053] The specific configuration of the distributed processing structure acquisition module 70 also includes connecting to a power grid data storage unit to obtain historical power grid accident data; through the historical power grid accident data, in the initialized distributed processing structure, combined with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, obtaining a power grid stability simulation index; on the basis of the initialized distributed processing structure, optimizing with the goal of maximizing the power grid stability defined by the power grid stability simulation index to obtain a distributed processing structure.

[0054] Preferably, the power grid's historical accident data, energy storage node layout, and the response range of the processing unit are used to simulate and optimize the power grid's stability. By analyzing the power grid's response to different accident situations, the system can find the best distributed processing structure to ensure that the power grid can maintain maximum stability when facing various accidents or failures. Specifically, the power grid's historical accident data is obtained from the power grid data storage unit, including the types of past accidents in the power grid (such as short circuits, overloads, equipment failures, etc.), the time, location, impact range, accident handling methods, recovery time, etc. of the accident. Then, the historical accident data, energy storage node layout, and processing unit response range are used to simulate the stability performance of the power grid in different accident scenarios, that is, to simulate the load adjustment, recovery time, and power supply interruption of the power grid when different types of accidents occur, thereby generating power grid stability indicators (such as recovery time, power outage area, load balance, etc.) to measure the power grid's ability to respond to accidents.

[0055] Preferably, on the basis of the distributed processing structure of the power grid, combined with the stability simulation index of the power grid, the layout of distributed energy storage nodes, the response range of distributed processing units, load scheduling and other key elements are optimized. Specifically, maximizing the stability of the power grid means that through optimization, the system can restore power supply at the fastest speed when an accident occurs, minimize the impact of power outages, and improve the load balancing ability of the power grid. For example, by analyzing the simulation index of power grid stability, the layout of distributed energy storage nodes is optimized; by adjusting the coverage of the processing unit, it is ensured that each high-risk area can get a quick response. At the same time, the monitoring of key equipment (such as substations and transmission lines) is strengthened to reduce large-scale power outages caused by equipment failures; when an accident occurs, the power supply is optimized through the load scheduling strategy. According to the accident situation, the energy storage nodes are reasonably scheduled or the load distribution is adjusted to avoid overload or insufficient power supply in local areas; through reasonable layout of energy storage nodes and adjustment of the response range of processing units, the system can more efficiently utilize power grid resources and maximize the stability of the power grid.

[0056] The specific configuration of the distributed processing structure acquisition module 70 also includes: introducing an automatic protection unit of the target power grid topology structure, the automatic protection unit including a relay protection device and an automatic reclosing device; determining a protection strategy through the automatic protection unit of the target power grid topology structure, the protection strategy including a first coordinated protection action and a first fault line cut-off combination, a second coordinated protection action and a second fault line cut-off combination, ..., an Nth coordinated protection action and an Nth fault line cut-off combination; determining the distributed processing structure through the protection strategy with the adaptation of the target power grid topology structure and changes in operating conditions as constraints.

[0057] Preferably, the automatic protection unit of the target power grid topology structure refers to a device used to detect faults and automatically take protective actions in the power grid system, including relay protection equipment and automatic reclosing devices. The relay protection equipment is used to detect abnormal conditions in the power grid (such as short circuits, voltages that are too low or too high, etc.), and when an abnormality is detected, it quickly issues instructions to cut off the faulty line to prevent the fault from expanding or affecting more areas. The automatic reclosing device refers to a device that automatically attempts to restore power supply after the fault is removed. If the fault is temporary (such as a momentary short circuit in the line), the reclosing device can automatically reclose the circuit to restore the system to normal operation without human intervention. When a fault is detected, the protection strategy is determined by the automatic protection unit of the target power grid topology structure, that is, the coordinated actions and fault isolation measures that the power grid system should take. The protection strategy includes a set of specific protection actions and corresponding combinations of fault line cut-off schemes.

[0058] Preferably, the first coordinated protection action and the first fault line cutting combination refer to the first protection action and the corresponding fault line cutting scheme taken by the system when a specific type of fault occurs in the power grid. The second coordinated protection action and the second fault line cutting combination refer to the second protection action and the corresponding line cutting combination taken by the system under another fault situation. A variety of protection strategies are designed according to different fault types, fault severity and power grid operating conditions. Each strategy includes a different combination of protection actions and line cutting, and a total of N coordinated protection actions and fault line cutting combinations are obtained. Finally, the target power grid topology structure and operating conditions are adapted to changes, that is, according to changes in the physical structure of the power grid (such as lines, substations, etc.) and real-time operating status (such as load changes, line losses, etc.), the protection strategy is dynamically adjusted (optimizing the combination of protection actions and fault line cutting), and then the distributed processing structure is determined so that they can respond in a hierarchical and regional manner according to the fault situation, and the specific tasks of each processing unit in different fault scenarios are clarified to ensure that the system can quickly isolate the fault and restore power supply, so that each distributed processing unit can work together to maximize the stability and security of the power grid.

[0059] Although the present application makes various references to certain components in the system according to the embodiments of the present application, any number of different components may be used and run on a user terminal and / or server, and the various units and components included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0060] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A distributed power grid accident processing system combined with edge energy storage, characterized in that: include: An accident basic feature extraction module is used to connect to the power grid data storage unit to extract the accident basic features associated with the power grid accident, wherein the accident basic features include the fault time, fault location, and fault type; A distributed processing unit establishment module, used to establish multiple distributed processing units with the accident basic characteristics as the root node, wherein the distributed processing units include a power grid monitoring node, a fault detection node, and a processing node; An initialization distributed processing structure acquisition module is used to acquire a target power grid topology structure, mark key coordinates, and obtain an initialization distributed processing structure through the key coordinates of the target power grid topology structure and a plurality of distributed processing units; A response range overlap analysis module is used to perform overlap analysis on the response ranges associated with the plurality of distributed processing units from the P power supply ends to the Q user ends of the target power grid topology structure, and add chain response marks, wherein the first chain response mark corresponds to the first P power supply end to the first Q user end. The second chain response mark corresponds to the first P power supply terminals to the second Q user terminals. Distributed processing units; An information sharing channel establishment module, used to introduce a plurality of distributed energy storage nodes based on the initialization distributed processing structure, and establish an information sharing channel between the plurality of distributed energy storage nodes, wherein the distributed energy storage nodes are used to support critical loads; A dynamic energy supply scheduling module, used for dynamically scheduling energy supply using the information sharing channel according to the first chain response mark, the second chain response mark, ..., the P×Qth chain response mark in the chain response mark; The distributed processing structure acquisition module is used to simultaneously optimize the distributed processing structure based on the initialized distributed processing structure, in combination with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, with the goal of maximizing the stability of the power grid to obtain the distributed processing structure.

2. The distributed power grid accident processing system combined with edge energy storage according to claim 1, characterized in that: Performing overlap analysis on the response ranges associated with the plurality of distributed processing units from the P power supply ends to the Q user ends of the target power grid topology structure and adding chain response marks includes: Taking P power supply terminals of the target power grid topology structure as starting points and Q user terminals of the target power grid topology structure as end points, obtaining P×Q power transmission paths; Based on the P×Q power transmission paths, determining a first power transmission path between the first P power supply terminals and the first Q user terminals; By means of the first power transmission path, an overlap analysis is performed with the response ranges associated with the plurality of distributed processing units to determine Distributed processing units.

3. The distributed processing system for power grid accidents combined with edge energy storage according to claim 2, characterized in that: A response range associated with each of the plurality of distributed processing units includes a plurality of power transmission branches; Connectivity determination is performed one by one between a plurality of power transmission branches in a response range associated with the first distributed processing unit and the first power transmission path; If connected, the first distributed processing unit and the first power transmission path are marked by a first chain response mark.

4. The distributed processing system for power grid accidents combined with edge energy storage according to claim 1, characterized in that: Establishing an information sharing channel between the plurality of distributed energy storage nodes includes: Based on the multiple distributed energy storage nodes, according to the order of energy supply loads from small to large, an energy supply load sequence of the multiple distributed energy storage nodes is obtained; Acquire rated operating parameters of the plurality of distributed energy storage nodes, and establish an information sharing mechanism through energy supply load sequences of the plurality of distributed energy storage nodes; Based on the information sharing mechanism, the energy supply scheduling requirements are uploaded by utilizing the information sharing channel between the multiple distributed energy storage nodes.

5. The distributed processing system for power grid accidents combined with edge energy storage according to claim 4, characterized in that: Utilizing the information sharing channel between the plurality of distributed energy storage nodes to upload energy supply scheduling requirements, further comprising: Based on the energy supply scheduling demand, an energy supply loss sequence of the multiple distributed energy storage nodes is obtained according to the energy supply scheduling losses of the multiple distributed energy storage nodes in ascending order; Prioritize the energy supply scheduling of the multiple distributed energy storage nodes through the energy supply loss sequence, and establish an auxiliary scheduling mechanism, wherein the auxiliary scheduling mechanism includes a starting energy supply time node; The window period is determined through the starting energy supply time node, and at the same time, the nearest U distributed energy storage nodes are identified, and an emergency scheduling mechanism is set up through the energy supply scheduling demand and the U distributed energy storage nodes.

6. The distributed processing system for power grid accidents combined with edge energy storage according to claim 5, characterized in that: According to the energy supply scheduling requirements and U distributed energy storage nodes, an emergency scheduling mechanism is set up, including: Obtaining a remaining energy storage sequence of the plurality of distributed energy storage nodes according to the order of the remaining energy storage amounts of the plurality of distributed energy storage nodes from small to large; Compare the remaining energy storage sequence with the U distributed energy storage nodes one by one; If the comparison is successful, an energy supply scheduling failure mark is added to the first distributed energy storage node that passes the comparison, wherein the first distributed energy storage node is any one of the U distributed energy storage nodes.

7. The distributed processing system for power grid accidents combined with edge energy storage according to claim 1, characterized in that: Based on the initialized distributed processing structure, combined with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, optimization is performed with the goal of maximizing the stability of the power grid to obtain a distributed processing structure, including: Connect to the power grid data storage unit to obtain historical power grid accident data; By using the historical accident data of the power grid, in the initialized distributed processing structure, combined with the energy storage node layout of the multiple distributed energy storage nodes and the response range associated with the multiple distributed processing units, a power grid stability simulation index is obtained; On the basis of the initialized distributed processing structure, optimization is performed with the goal of maximizing the grid stability defined by the grid stability simulation index to obtain a distributed processing structure.

8. The distributed processing system for power grid accidents combined with edge energy storage according to claim 7, characterized in that: Based on the initialized distributed processing structure, optimizing with the goal of maximizing the grid stability defined by the grid stability simulation index to obtain a distributed processing structure, further comprising: Introducing an automatic protection unit of the target power grid topology, wherein the automatic protection unit includes a relay protection device and an automatic reclosing switch; Determining a protection strategy through an automatic protection unit of the target power grid topology structure, the protection strategy comprising a first coordinated protection action and a first combination of disconnecting a faulty line, a second coordinated protection action and a second combination of disconnecting a faulty line, ..., an Nth coordinated protection action and an Nth combination of disconnecting a faulty line; The distributed processing structure is determined by the protection strategy with the adaptation to the target power grid topology and the change of the operating conditions as the constraint condition.

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