Emergency command-oriented cross-regional power grid integrated automatic power dispatching system

Abstract

The invention provides an emergency command-oriented cross-regional power grid integrated power automatic dispatching system, which comprises a data acquisition module and a data processing center, the data acquisition module is used for collecting power transmission data of a cross-regional power grid from a plurality of data sources and transmitting the data to the data processing center; the data processing center comprises a big data information recombination module, a segmented equalization control module, an output link equalization configuration module, a space region recombination module, an information fusion processing module, a self-adaptive link equalization configuration module and an emergency command scheduling module; the big data information recombination module is used for recombining the collected power transmission data and providing basic data for other modules of the data processing center; the emergency commanding and dispatching module, the multiple balanced configuration modules, the information fusion and big data recombination module and the like in the system work in a close cooperative mode to form a complete dispatching system, and the integrated power emergency commanding capacity of a cross-regional power grid is improved.

Description

Technical Field

[0001] The present invention relates to the field of automatic power dispatching, and in particular to a cross-regional power grid integrated automatic power dispatching system for emergency command. Background Art

[0002] As the construction of cross-regional power networks is developing rapidly around the world, its scale and coverage are constantly expanding. Today, the types of services carried by cross-regional power grids are becoming increasingly complex and diverse, covering not only traditional basic power needs such as residential and industrial power consumption, but also gradually integrating a large number of new power application services, such as power supply for large-scale data centers, grid-connected transmission of new energy power generation, and various smart grid interactive services. At the same time, the power load has also risen sharply. Whether it is the peak power consumption during peak hours or the total power demand in the long term, it has posed an extremely severe challenge to the carrying capacity of the power grid.

[0003] Under such a complex background, it is urgent to design cross-regional integrated power grid automatic dispatching. This integrated design concept aims to break the barriers and restrictions between regions in traditional power grid dispatching and build a highly coordinated, intelligent and efficient dispatching system. By deeply integrating the resource information of each regional power grid, including the real-time operating parameters of power generation equipment, the load status of transmission lines, the capacity and operating status of substations, etc., advanced information technology and intelligent algorithms are used to achieve accurate control and flexible deployment of the power network.

[0004] Therefore, in order to reduce the cost of the power grid and improve the operational stability of the power grid, it is urgent to develop a cross-regional power grid integrated automatic dispatching system for emergency command. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a cross-regional power grid integrated automatic dispatching system for emergency command based on multi-source information fusion and balanced configuration in view of the deficiencies in the prior art, so as to improve the cross-regional power grid integrated power emergency command capability.

[0006] In order to solve the above technical problems, the technical solution of the present invention is:

[0007] The cross-regional power grid integrated automatic dispatching system for emergency command includes a data acquisition module and a data processing center; the data acquisition module is used to collect power transmission data of cross-regional power grids from multiple data sources and transmit the data to the data processing center; the data processing center includes a big data information reorganization module, a segmented balancing control module, an output link balancing configuration module, a spatial area reorganization module, an information fusion processing module, an adaptive link balancing configuration module and an emergency command and dispatch module; the big data information reorganization module is used to reorganize the collected power transmission data and provide basic data for other modules of the data processing center;

[0008] The segmented balancing control module is used to divide the power grid into segments and implement load balancing control of each segment, obtain the load distribution of each segment, and provide basic load information for the output link balancing configuration module; the output link balancing configuration module is used to implement the balanced configuration of the output link by establishing an output link balancing configuration model; the output link balancing configuration module works in conjunction with the segmented balancing control module to jointly optimize the load balancing of the power grid;

[0009] The spatial regional reorganization module is used to perform spatial regional reorganization on the cross-regional power grid; the spatial regional reorganization module works in conjunction with the output link balancing configuration module to optimize regional division and link configuration; the spatial regional reorganization module works in conjunction with the segment balancing control module to optimize load balancing and regional structure;

[0010] The information fusion processing module is used to perform information fusion processing on the reorganized spatial area and extract the key information after fusion to provide a basis for automatic power dispatching; the information fusion processing module works in conjunction with the spatial area reorganization module to optimize the regional division and data fusion effect; the information fusion processing module works in conjunction with the output link balancing configuration module to optimize the link configuration and data fusion strategy; the information fusion processing module works in conjunction with the segment balancing control module to optimize load balancing and data fusion;

[0011] The adaptive link balancing configuration is used to monitor the power load of the cross-regional power grid in real time, dynamically adjust the parameters of the link according to the load changes, and ensure the load balancing of the cross-regional power grid; the adaptive link balancing configuration module works in conjunction with the information fusion processing module to optimize the link balancing and data fusion strategy; the adaptive link balancing configuration module works in conjunction with the spatial area reorganization module to optimize the area division and link balancing configuration; the adaptive link balancing configuration module works in conjunction with the output link balancing configuration module to optimize the static and dynamic configuration of the link parameters; the adaptive link balancing configuration module works in conjunction with the segment balancing control module to optimize the segment load balancing and link balancing configuration;

[0012] The emergency command and dispatch module is used to establish an emergency command and dispatch mechanism; the emergency command and dispatch module works in conjunction with the adaptive link balancing configuration module to coordinately respond to emergencies and optimize emergency dispatch and link adjustment; the emergency command and dispatch module works in conjunction with the information fusion processing module to optimize the data support and data fusion strategy for emergency decision-making; the emergency command and dispatch module works in conjunction with the spatial area reorganization module to optimize the area division and emergency dispatch strategy; the emergency command and dispatch module works in conjunction with the output link balancing configuration module to optimize the link configuration and emergency dispatch effect; the emergency command and dispatch module works in conjunction with the segmented balancing control module to optimize the segmented load adjustment and emergency dispatch strategy.

[0013] Preferably, the power transmission data includes sensor data, monitoring equipment data and power grid operation data; the data acquisition module includes a sensor network and a data acquisition device; the sensor network is used to collect power system operation parameters in real time and is connected to the data acquisition device through wired or wireless communication; the data acquisition device is used to send the data received from the sensor network to a data processing center after preliminary processing; the sensor network includes various types of sensors deployed at various key nodes in the cross-regional power grid, including voltage sensors, current sensors, power sensors, and fault detection sensors; the big data information reorganization module includes a data cleaning submodule and a data fusion submodule; the data cleaning submodule filters the data of each sensor; the data fusion submodule adopts a data fusion algorithm, uses the least squares method to calculate the fusion weight, and performs weighted average fusion on the filtered data.

[0014] Preferably, the segment balancing control module includes a segment division submodule and a load balancing control submodule; the segment division submodule divides the cross-regional power grid into multiple segments according to the topological structure and operation characteristics of the power grid, and establishes a mapping relationship between each segment and the acquisition node; the load balancing control submodule is connected to the segment division submodule and the data fusion submodule, and is used to calculate the load index of each segment, determine the optimal control strategy for each segment, and achieve load balancing between the segments;

[0015] The output link balancing configuration module includes a link parameter modeling submodule and a multi-objective optimization submodule; the link parameter modeling submodule is connected to the load balancing control submodule, and is used to establish a mathematical model between the output link parameters and the power transmission efficiency, reliability, and load balancing; the multi-objective optimization submodule is connected to the link parameter modeling submodule, and is used to perform multi-objective optimization on the link parameters to find the optimal output link parameters that meet the multi-objective optimization requirements;

[0016] The output link balancing configuration module and the segment balancing control module work in coordination, including: the segment balancing control module divides the power grid into segments and implements load balancing control of each segment, obtains the load distribution of each segment and inputs the load information into the output link balancing configuration module; when constructing the power transmission efficiency function, the reliability function and the load balancing function, the output link balancing configuration module evaluates the impact of different output link parameters on the load balancing of the entire power grid according to the actual load conditions of each segment; the optimal output link parameters determined by the output link balancing configuration module are fed back to the segment balancing control module, so that it re-evaluates and adjusts the segment load, thereby realizing cyclic optimization between the two modules.

[0017] Preferably, the output link balancing configuration module and the segmented balancing control module work in coordination, including: regarding different power grid segments as interrelated and interactive power subsystems, and the power load carried by each power subsystem as the energy distribution weight within the system; in the segmented balancing control module, when the power load weight of a certain power subsystem is too high, that is, exceeds the preset balancing threshold range, the overall energy distribution pattern is readjusted by energy interaction and coordination with other power subsystems; the output link balancing configuration module constructs and optimizes the energy transmission channels between these subsystems; when it is found that several power subsystems are connected through a specific output link and an unbalanced power load occurs, the electrical parameters of the link are adaptively adjusted to optimize the conversion efficiency and distribution ratio factor of energy transmission, so that the electric energy can flow and be redistributed between the power subsystems according to a predetermined balancing strategy, ensuring that the energy distribution of the entire power grid system is in a stable and efficient state.

[0018] Preferably, the spatial region reorganization module includes a similarity calculation submodule and a clustering submodule; the similarity calculation submodule is used to receive the fused power data and calculate the similarity between different spatial regions; the clustering submodule is used to reorganize the spatial regions according to the similarity;

[0019] The collaborative work of the spatial area reorganization module and the output link balancing configuration module includes: after the spatial area reorganization module reorganizes the spatial area, the obtained area division result is input into the output link balancing configuration module, and when considering the optimal configuration of the output link, the output link balancing configuration module evaluates the power transmission demand between different areas according to the division of the spatial area, thereby adjusting the link parameters; the link parameters and the distribution of the links determined by the output link balancing configuration module provide a reference for the spatial area reorganization module, and the area with high-capacity link connection is divided into a spatial area according to the direction and capacity distribution of the link;

[0020] The collaborative work of the spatial area reorganization module and the segmented balancing control module includes: the spatial area reorganization module adjusts the area division according to the load conditions of each segment calculated by the segmented balancing control module, so that the regional structure is more conducive to load balancing. During the spatial area reorganization process, the area with unbalanced load is further subdivided or merged with the adjacent area with lighter load; the area division result of the spatial area reorganization module provides new area structure information for the segmented balancing control module, and the segmented balancing control module uses the new area structure information to recalculate and adjust the load control strategy of each segment.

[0021] Preferably, the information fusion processing module includes a covariance calculation submodule and a principal component analysis submodule; the covariance calculation submodule is used to calculate the covariance matrix of the power data for each clustering area to analyze the correlation and change trend of the data in the area; the principal component analysis submodule is used to solve the eigenvalues ​​and eigenvectors of the covariance matrix, select the main eigenvectors to construct a projection matrix, perform principal component analysis on the data in the area, and realize dimensionality reduction and information fusion;

[0022] The information fusion processing module and the spatial area reorganization module work in coordination, including: the area division result of the spatial area reorganization module provides the information fusion processing module with a data grouping basis, the information fusion processing module processes the power data in each area separately according to the grouping after the spatial area reorganization, and fuses the data based on spatial correlation; after fusing the data of each area, the information fusion processing module obtains the comprehensive data features of each area, and feeds these features back to the spatial area reorganization module for verifying the rationality of the area division or as a reference for further adjusting the area division;

[0023] The information fusion processing module and the output link balancing configuration module work in coordination, including: the information fusion processing module inputs the obtained fused data features into the output link balancing configuration module, and the output link balancing configuration module uses these data features to evaluate the power transmission between various regions under different link parameters and optimize the link parameters; according to the influence of the link parameter optimization result of the output link balancing configuration module on the distribution and features of the data, the information fusion processing module adjusts the fusion strategy according to the data features related to the link capacity change;

[0024] The collaborative work of the information fusion processing module and the segmented balancing control module includes: the segmented balancing control module inputs the calculated load information of each segment into the information fusion processing module to provide a reference for its fusion strategy optimization; the information fusion processing module gives different weights to the data in the areas where the segments with heavier and lighter loads are located according to the segmented load conditions, or focuses on the data association between the segments with unbalanced loads; the information fusion processing module inputs the comprehensive data features obtained by fusing the data in the area into the segmented balancing control module, and formulates a load balancing strategy based on the judgment of the power interaction relationship between the segments; the segmented balancing control module redistributes the load according to the adjusted load balancing strategy, and the information fusion processing module further optimizes the data fusion strategy according to the new load conditions, thereby realizing a cyclic optimization of the two.

[0025] Preferably, the adaptive link balancing configuration module includes a load monitoring submodule and a parameter adjustment submodule; the load monitoring submodule is used to monitor the load conditions of various parts of the power grid in real time and calculate the load balancing index; the parameter adjustment submodule is used to adjust the output link parameters according to the gradient information of the load balancing index to optimize the load balancing;

[0026] The cooperative work of the adaptive link balancing configuration module and the information fusion processing module includes: the information fusion processing module inputs the comprehensive data reflecting the regional power characteristics obtained by fusing the regional power data into the adaptive link balancing configuration module to determine whether the current link is in a balanced state and the degree of imbalance; the adaptive link balancing configuration module feeds back the link state information that has changed in the process of adjusting the link parameters to the information fusion processing module, and the information fusion processing module re-integrates the data in the region according to the change of the link parameters;

[0027] The coordinated work of the adaptive link balancing configuration module and the spatial area reorganization module includes: the spatial area reorganization module inputs the determined area boundaries and the connection relationship between the areas into the adaptive link balancing configuration module to evenly distribute link resources between different areas; the adaptive link balancing configuration module feeds back the link load change information generated in the process of adjusting the link balancing to the spatial area reorganization module to re-divide the area, and then the adaptive link balancing configuration module performs link balancing configuration based on the new area structure to achieve cyclic optimization;

[0028] The cooperative work of the adaptive link balancing configuration module and the output link balancing configuration module includes: the output link balancing configuration module provides the adaptive link balancing configuration module with initial link parameters and link configuration strategies, and the adaptive link balancing configuration module uses this as the starting point for dynamic adjustment and performs adaptive adjustment of link parameters according to real-time data; the adaptive link balancing configuration module feeds back the dynamic adjustment information generated by adjusting the link parameters according to the dynamic changes of the power system during real-time operation to the output link balancing configuration module, and the output link balancing configuration module regularly updates the initial link parameters and configuration strategies according to the feedback information, so as to realize the coordination between the static configuration and dynamic adjustment of link parameters;

[0029] The collaborative work of the adaptive link balancing configuration module and the segment balancing control module includes: the segment balancing control module inputs the load conditions of each segment calculated by it into the adaptive link balancing configuration module, and the adaptive link balancing configuration module determines whether the link can meet the power transmission requirements of each segment according to the segment load information, and whether the link parameters need to be adjusted to balance the load between the segments; the adaptive link balancing configuration module feeds back the load information after the link load changes caused by adjusting the link parameters to the segment balancing control module, and the segment balancing control module re-evaluates the load balancing status of each segment according to the feedback information, and adjusts the segment load control strategy.

[0030] Preferably, the adaptive link balancing configuration module and the information fusion processing module work together, including: various types of power data collected by the information fusion processing module constitute a comprehensive and detailed quantitative description information set of the power grid operation status, and these data information are converted into key indicators for evaluating the operation efficiency and stability of each part of the power grid through data processing and analysis; such as calculating the power supply and demand balance of different regions based on power data, and deriving the loss rate and stability coefficient of power transmission through voltage and current data; when the power supply and demand balance index of a certain area shows an oversupply or shortage of power, the adaptive link balancing configuration module dynamically adjusts the electrical parameters of the link according to the optimization algorithm and system stability rules, including adjusting the voltage conversion ratio of the link according to the difference in power supply and demand, optimizing the conductivity of the line according to the transmission loss, and intelligently switching the power transmission flow path based on stability requirements, so that power is allocated between different regions according to the optimized transmission strategy, ensuring that the power grid system always operates in a near-optimal state.

[0031] Preferably, the emergency command and dispatch module includes a fault detection submodule and a decision submodule; the fault detection submodule is used to receive fault information and other related data transmitted by the sensor, and identify the fault type and severity using a fault feature analysis algorithm; the decision submodule is used to generate an emergency dispatch plan based on the fault information and current power data as input;

[0032] The collaborative work of the emergency command and dispatch module and the adaptive link balancing configuration module includes: the emergency command and dispatch module formulates preliminary emergency strategies based on the overall architecture and fault conditions of the power grid, the adaptive link balancing configuration module quickly adjusts the link parameters according to these strategies, and during the adjustment process, the actual link adjustment status and new problems that arise are fed back to the emergency command and dispatch module, and the emergency command and dispatch module further optimizes the emergency strategy based on the feedback, forming a dynamic collaborative optimization process to more effectively respond to emergencies and ensure the safe and stable operation of the power grid;

[0033] The collaborative work of the emergency command and dispatch module and the information fusion processing module includes: the information fusion processing module continuously provides more accurate and targeted fusion data to support the emergency command and dispatch module to make more reasonable decisions. At the same time, the emergency command and dispatch module guides the information fusion processing module to optimize the data fusion strategy based on the demand feedback of the emergency scene. In the process of handling multiple emergency events, the emergency command and dispatch module finds that certain data fusion methods cannot meet the decision-making needs well in emergency situations based on the data feedback provided by the information fusion processing module. At this time, the emergency command and dispatch module can make improvement suggestions to the information fusion processing module, and the information fusion processing module optimizes the data fusion strategy according to the suggestions, so that the data provided subsequently is more in line with the requirements of emergency command and dispatch, and improves the efficiency and accuracy of emergency decision-making. The information fusion processing module provides the comprehensive data features reflecting the regional power operation status to the emergency command and dispatch module as an important basis for quickly evaluating the power status of each region when making emergency decisions; in the process of emergency command and dispatch, the emergency command and dispatch module will feedback the demand information for focusing on specific areas or specific types of data based on the fault type and emergency target to the information fusion processing module, and the information fusion processing module will strengthen the processing and analysis of these regional or type data according to this demand;

[0034] The collaborative work of the emergency command and dispatch module and the spatial regional reorganization module includes: the emergency command and dispatch module formulates an emergency strategy based on the regional structure divided by the spatial regional reorganization module and the connection mode between the regions; the emergency command and dispatch module feeds back the regional division problems found during the emergency process to the spatial regional reorganization module, and the spatial regional reorganization module performs new regional division according to the feedback;

[0035] The collaborative work of the emergency command and dispatch module and the output link balancing configuration module includes: the link configuration information of the output link balancing configuration module provides a decision basis for the emergency command and dispatch module, and the output link balancing configuration module optimizes the link configuration based on the emergency adjustment feedback of the emergency command and dispatch module;

[0036] The collaborative work of the emergency command and dispatch module and the segmented balancing control module includes: the segmented load information and balancing control strategy provided by the segmented balancing control module provide support for the emergency decision-making of the emergency command and dispatch module, and the emergency load adjustment requirements of the emergency command and dispatch module enable the segmented balancing control module to optimize its load adjustment method.

[0037] Preferably, the emergency command and dispatch module and other modules work in coordination, including: in the spatial area reorganization module, a dynamic area division mechanism triggered by specific conditions is set, and when certain key indicators in the power data reach a preset threshold, the regional reorganization process is started; the information fusion processing module performs comprehensive analysis and situation awareness on the multivariate data of the power grid, and determines the health status of power supply in different areas by collecting multi-dimensional power information such as voltage stability data, load change rate, power factor, etc. in each area; the adaptive link balancing configuration module realizes dynamic adjustment and optimization of the power link according to the situation analysis results provided by the information fusion processing module, and when it is detected that the power load imbalance occurs in the area connected by certain links, the module quickly adjusts the link parameters; the segmented balancing control module ensures the uniform distribution and coordinated operation of the power load in each segmented area of ​​the power grid, by real-time monitoring of the power load data in each segmented area, and comparing and analyzing with the preset load balancing standard, when it is found that the load in a segmented area deviates from the balancing range, the load adjustment mechanism is immediately started; when the power grid suffers a large-scale natural disaster or a sudden serious failure of key equipment, the emergency command and dispatch module quickly collects the fault information fed back by each module, and formulates an emergency treatment plan based on this information.

[0038] The beneficial effects of the present invention are:

[0039] (1) Comprehensive and independent functional module integration: The emergency command and dispatch module, multiple balancing configuration modules, information fusion and big data reorganization modules and other functional modules in this system work closely together to form a complete dispatch system. The adaptive link balancing configuration module can automatically adjust the data transmission path and bandwidth allocation according to the load of the link, thereby improving the utilization and reliability of the link. The adaptive link balancing configuration module and the output link balancing configuration module can manage the link balance at different stages. This multi-module synergy makes the balanced configuration of the power grid more refined and comprehensive, and can effectively improve the load balance and operation stability of the power grid.

[0040] (2) Improvement of dynamic adaptability: This system includes multiple balancing configuration modules, such as adaptive link balancing configuration module, output link balancing configuration module, and segment balancing control module, which realize the balancing configuration of the power grid from different angles and levels. These balancing configuration modules have strong adaptive capabilities and can dynamically adjust the balancing strategy according to the real-time operation status and changes of the power grid.

[0041] (3) Efficiency of big data information reorganization: As the amount of power grid data continues to grow, how to efficiently process and utilize big data becomes the key. The big data information reorganization module can reorganize and mine a large amount of power grid data, discover potential patterns and trends, and provide support for the optimal scheduling of the power grid.

[0042] (4) Uniqueness of the spatial regional reorganization module: The spatial regional reorganization module can reorganize and optimize the spatial layout of the power grid according to actual needs, thereby improving the operating efficiency and reliability of the power grid. This provides new ideas and methods for the integrated dispatching of cross-regional power grids.

[0043] (5) Comprehensiveness of multi-source information fusion: In terms of information fusion processing, this system is able to deeply fuse multi-source information. The information fusion processing module can comprehensively process and analyze various types of power grid information from different regions, such as power load, equipment status, meteorological conditions, etc., to provide a more comprehensive and accurate basis for dispatching decisions.

[0044] (6) Real-time and accuracy of emergency command and dispatch: In emergency situations, the emergency command and dispatch module of this system can respond quickly and quickly generate accurate dispatch instructions based on real-time power grid information and fusion processing results. When encountering emergencies, the system can quickly analyze the impact of the event on the power grid and generate corresponding response measures in a timely manner through the instruction generation module, thereby improving the emergency handling capability of the power grid.

[0045] (7) Emergency command and dispatch and other modules' collaborative emergency response capability: The emergency command and dispatch module of this system works closely with other modules to form an organic whole. In emergency situations, the adaptive link balancing configuration module, segmented balancing control module, etc. can quickly adjust the operating status of the link and the power grid according to the requirements of emergency command and dispatch to achieve collaborative emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a structural diagram of the cross-regional power grid integrated automatic dispatching system for emergency command of the present invention. DETAILED DESCRIPTION

[0047] To facilitate understanding of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood by those skilled in the art that the embodiments are only intended to help understand the present invention and should not be regarded as specific limitations of the present invention.

[0048] Embodiment 1:

[0049] like Figure 1 As shown, the present invention provides an integrated cross-regional power grid automatic dispatching system for emergency command, including a data acquisition module and a data processing center; the data acquisition module is used to collect power transmission data of cross-regional power grids from multiple data sources, and transmit the data to the data processing center; the data processing center includes a big data information reorganization module, a segmented balancing control module, an output link balancing configuration module, a spatial area reorganization module, an information fusion processing module, an adaptive link balancing configuration module and an emergency command and dispatch module; the big data information reorganization module is connected to the data acquisition module, and is used to reorganize the collected power transmission data and provide basic data for other modules of the data processing center;

[0050] The segmented balancing control module is used to divide the power grid into segments and realize load balancing control of each segment, obtain the load distribution of each segment, and provide basic load information for the output link balancing configuration module; the output link balancing configuration module is used to realize the balanced configuration of the output link by establishing the output link balancing configuration model; the output link balancing configuration module works in conjunction with the segmented balancing control module to jointly optimize the load balancing of the power grid. The spatial regional reorganization module is used to reorganize the cross-regional power grid in spatial regions; the spatial regional reorganization module works in conjunction with the output link balancing configuration module to optimize the regional division and link configuration; the spatial regional reorganization module works in conjunction with the segmented balancing control module to optimize the load balancing and regional structure.

[0051] The information fusion processing module is used to perform information fusion processing on the reorganized spatial area and extract the key information after fusion to provide a basis for automatic power dispatching; the information fusion processing module works in conjunction with the spatial area reorganization module to optimize the regional division and data fusion effect; the information fusion processing module works in conjunction with the output link balancing configuration module to optimize the link configuration and data fusion strategy; the information fusion processing module works in conjunction with the segment balancing control module to optimize load balancing and data fusion. The adaptive link balancing configuration is used to monitor the power load of the cross-regional power grid in real time, dynamically adjust the parameters of the link according to the load changes, and ensure the load balancing of the cross-regional power grid; the adaptive link balancing configuration module works in conjunction with the information fusion processing module to optimize the link balancing and data fusion strategy; the adaptive link balancing configuration module works in conjunction with the spatial area reorganization module to optimize the regional division and link balancing configuration; the adaptive link balancing configuration module works in conjunction with the output link balancing configuration module to optimize the static and dynamic configuration of the link parameters; the adaptive link balancing configuration module works in conjunction with the segment balancing control module to optimize the segment load balancing and link balancing configuration.

[0052] The emergency command and dispatch module is used to establish an emergency command and dispatch mechanism; the emergency command and dispatch module works together with the adaptive link balancing configuration module to coordinate responses to emergencies and optimize emergency dispatch and link adjustments; the emergency command and dispatch module works together with the information fusion processing module to optimize data support and data fusion strategies for emergency decisions; the emergency command and dispatch module works together with the spatial area reorganization module to optimize regional division and emergency dispatch strategies; the emergency command and dispatch module works together with the output link balancing configuration module to optimize link configuration and emergency dispatch effects; the emergency command and dispatch module works together with the segmented balancing control module to optimize segmented load adjustments and emergency dispatch strategies.

[0053] The system also includes an instruction generation module and an execution device interface. The instruction generation module is used to generate specific power dispatch instructions based on the results calculated by various modules of the data processing center. These instructions include power distribution adjustment for each segment, setting of output link parameters, equipment operation instructions in emergency situations, etc. The execution device interface is used to send the generated instructions to the corresponding power equipment actuators, such as circuit breakers, transformers, reactive power compensation equipment, etc. These interfaces are responsible for the transmission and conversion of instructions to ensure that the power equipment can accurately execute the dispatch instructions.

[0054] The system also has a visual monitoring interface and an emergency command decision support system. The visual monitoring interface is used to display the operating status of the cross-regional power grid in real time, including power parameters, load distribution, fault information, and the execution of dispatch instructions. Through the graphical interface, operators can intuitively understand the overall situation of the power grid. The emergency command decision support system is used to provide decision support for emergency commanders. In the event of a fault or emergency, according to the plan generated by the emergency command and dispatch module and the information provided by the visual monitoring interface, the commander can quickly make decisions and coordinate various resources for emergency handling.

[0055] The present invention focuses on improving the emergency command capability of power network dispatching and maintenance. When faced with emergencies such as natural disasters, sudden equipment failures or large-scale power demand mutations, the emergency command center can quickly collect comprehensive and accurate power grid information based on this system, and use the big data information reorganization module to quickly analyze and screen the massive data, and accurately locate the fault point or the power load imbalance area. Then, based on the regional structure and connection relationship information provided by the spatial regional reorganization module, combined with the decision support after the information fusion processing module integrates multi-source information, the emergency command and dispatch module can efficiently formulate a highly targeted emergency dispatch plan. The instruction generation module can quickly convert these plans into specific operation instructions, which are accurately transmitted to each power device through the execution device interface. At the same time, the adaptive link balancing configuration module, the output link balancing configuration module and the segmented balancing control module work together to dynamically adjust the link parameters, regional load balancing and segmented power distribution of the power grid to ensure that the power grid can maintain stable operation under emergency conditions, minimize the power outage time and impact range, ensure the safety and reliability of power supply, and provide a solid power guarantee foundation for the normal operation of modern society.

[0056] Embodiment 2:

[0057] Power transmission data includes sensor data, monitoring equipment data and power grid operation data; the data acquisition module includes a sensor network and a data acquisition device; the sensor network is used to collect power system operation parameters in real time and is connected to the data acquisition device through wired or wireless communication; the data acquisition device is used to perform preliminary processing on the data received from the sensor network and then send it to the data processing center; the sensor network includes various types of sensors deployed at various key nodes in the cross-regional power grid, including voltage sensors, current sensors, power sensors, and fault detection sensors.

[0058] The big data information reorganization module includes a data cleaning submodule and a data fusion submodule; the data cleaning submodule filters the data of each sensor according to the pre-set noise model, state equation, and observation equation to remove noise interference; the data fusion submodule adopts a data fusion algorithm, uses the least squares method to calculate the fusion weight, and performs weighted average fusion on the filtered data to improve the quality and reliability of the data. And according to the historical information and real-time collection of the data, the fusion weight is dynamically adjusted to obtain more accurate fusion data.

[0059] The system has interfaces with external systems (such as power grid management systems, meteorological information systems, etc.). Through the interface with the power grid management system, it can obtain information such as the topological structure and equipment parameters of the power grid, providing more comprehensive data support for the operation of the system; the interface with the meteorological information system can obtain weather data in order to predict the impact of weather on power grid operation in advance and make emergency preparations.

[0060] The system has a monitoring module that monitors the operating status of each part of the system in real time, including the performance indicators of hardware devices (such as sensors, servers, etc.) and the operating status of software modules. When a fault or abnormal situation occurs, the problem can be quickly located and an alarm can be issued.

[0061] Embodiment 3:

[0062] The big data information reorganization module is connected to the data acquisition module and is used to reorganize the collected power transmission data; the big data information reorganization module provides basic data for other modules of the data processing center, and other modules also provide feedback information to the big data information reorganization module.

[0063] The big data information reorganization module obtains more accurate and reliable cross-regional power grid power data through data cleaning and fusion. These processed data are the basis for the operation of the segmented balancing control module. When calculating the load index of each segment, the load balancing control submodule uses the fused data obtained after the big data information is reorganized to determine the data of each monitoring node, which can more accurately determine the load characteristics of each segment, thereby formulating a more reasonable balancing control strategy. When the load balancing control submodule finds that the load index of a segment frequently exceeds the reasonable range, it will feedback this situation to the big data information reorganization module; based on the feedback, the big data information reorganization module will strengthen the data cleaning efforts or adjust the fusion weights to make the fusion of key segment data more accurate. During the operation of the system, through the coordinated optimization of the two modules, the power dispatch of the cross-regional power grid can be made more reasonable, and the power loss and equipment failure risks caused by inaccurate or unbalanced data can be reduced, thereby improving the stability and reliability of the power grid operation.

[0064] The high-quality data obtained by the big data information reorganization module is the basis for the output link balancing configuration module to conduct accurate analysis and modeling. When calculating the power transmission efficiency function, the accurate power data after reorganization is used to evaluate the information transmission under different link parameters. If data quality problems are found during the output link balancing configuration process, such as excessive data fluctuations or unreasonable data fusion affecting the accuracy of link parameter optimization, they will be fed back to the big data information reorganization module, requiring it to further optimize data processing. When the output link balancing configuration module finds through multi-objective optimization that the load balancing index after link parameter optimization cannot meet expectations due to inaccurate data fusion, the big data information reorganization module is required to re-examine the data fusion algorithm and weight setting; the big data information reorganization module refers to the feedback from the output link balancing configuration module on the importance of different types of data in link parameter optimization, so that data fusion is more in line with the actual operation requirements of the system, thereby improving the data quality of the entire system and the accuracy of link configuration.

[0065] The big data information reorganization module provides accurate voltage, current, power and other data for the spatial regional reorganization module. The spatial regional reorganization module divides the region according to the spatial distribution characteristics of these data, such as the similarity of data in different regions. The regional division results of the spatial regional reorganization module provide the big data information reorganization module with data processing ideas from a regional perspective, so that the big data information reorganization module can continuously improve the data quality and provide more accurate data support for the spatial regional reorganization module, thereby making the regional division more reasonable. When the big data information reorganization module performs data fusion, according to the division of spatial regions, different fusion strategies are adopted for data in different regions, so that data processing is more in line with regional power characteristics, thereby improving the accuracy and practicality of regional division; or in the process of data cleaning, focus on the accuracy of regional boundary data to better serve the power dispatching needs after regional reorganization.

[0066] The big data information reorganization module provides a relatively accurate and complete data foundation for the information fusion processing module. Based on these preliminarily processed data, the information fusion processing module conducts a deeper fusion of the regional data after spatial regional reorganization to explore the intrinsic characteristics of the data in the region. After fusing the regional data, the information fusion processing module feeds back the fusion results and data characteristics to the big data information reorganization module. The big data information reorganization module uses this feedback information to evaluate its preprocessing effect or provide a reference for further data preprocessing. If the information fusion processing module finds that the data fusion effect in a certain area is not ideal, it may be because the big data information reorganization module did not completely remove certain interference factors in the early data cleaning process, thereby prompting the big data information reorganization module to improve the data preprocessing method and provide a higher quality data foundation for the information fusion processing module.

[0067] The high-quality data obtained by the big data information reorganization module is the basis for the adaptive link balancing configuration module to adjust the link balancing. The adaptive link balancing configuration module uses these reorganized data to monitor the link load in real time and evaluate the effect of link parameter adjustment. During the operation of the adaptive link balancing configuration module, if data quality problems are found (such as inaccurate data leading to poor link balancing adjustment effect), the feedback information will be passed to the big data information reorganization module, and the big data information reorganization module will further optimize the data processing method based on these feedbacks. The big data information reorganization module optimizes the parameters of the data cleaning algorithm or adjusts the weight of data fusion according to the requirements of the adaptive link balancing configuration module for data quality, so that the provided data is more suitable for the adaptive link balancing configuration module to adjust the link balancing. The adaptive link balancing configuration module works on the basis of better data and can more accurately feedback data quality problems, achieving coordinated optimization of the two.

[0068] The high-quality data obtained by the big data information reorganization module is the basis for the emergency command and dispatch module to make emergency decisions. These data include accurate voltage, current, power and other information, which can help the emergency command and dispatch module quickly and accurately understand the operating status of the power grid and provide data support for the formulation of emergency strategies. At the same time, in the process of emergency command and dispatch, there are higher requirements for the accuracy, timeliness and completeness of emergency data. The emergency command and dispatch module can feed back these requirements to the big data information reorganization module, prompting it to optimize data processing methods in emergency scenarios. The big data information reorganization module optimizes data cleaning, fusion and other operations according to the suggestions, provides better data, and thus better supports the decision-making of the emergency command and dispatch module and improves the accuracy and efficiency of emergency command and dispatch.

[0069] Embodiment 4:

[0070] The segmented balancing control module includes a segment division submodule and a load balancing control submodule; the segment division submodule divides the cross-regional power grid into multiple segments according to the topological structure and operating characteristics of the power grid, and establishes a mapping relationship between each segment and the acquisition node; the load balancing control submodule is connected to the segment division submodule and the data fusion submodule, and is used to calculate the load index of each segment, determine the optimal control strategy for each segment, and achieve load balancing between segments.

[0071] The segmented balancing control module divides the cross-regional power grid into multiple segments, each segment corresponds to a region or a grid node, and uses the reorganized power transmission data to perform balanced control of power transmission scheduling for each segment to ensure that the power load of each segment is balanced; the segment division submodule divides the cross-regional power grid into multiple segments, which can be divided according to factors such as geographical area, voltage level, power transmission direction, etc. The load balancing control submodule uses optimization algorithms, such as genetic algorithm, particle swarm optimization algorithm, etc., to determine the optimal power scheduling plan for each segment.

[0072] The output link balancing configuration module includes a link parameter modeling submodule and a multi-objective optimization submodule; the link parameter modeling submodule is connected to the load balancing control submodule, and is used to establish a mathematical model between the output link parameters (such as line capacity, voltage level, etc.) and the power transmission efficiency (based on mutual information calculation), reliability (based on the link failure probability model), and load balancing (based on the load difference calculation of each segment); the multi-objective optimization submodule is connected to the link parameter modeling submodule, and is used to perform multi-objective optimization of the link parameters using a genetic algorithm. This submodule initializes the population and continuously evolves the population through selection, crossover and mutation operations to find the optimal output link parameters that meet the multi-objective optimization requirements.

[0073] The coordinated work of the output link balancing configuration module and the segment balancing control module includes: the segment balancing control module obtains the load distribution of each segment by dividing the power grid into segments and realizing the load balancing control of each segment. These load information are important input data of the output link balancing configuration module. When constructing the power transmission efficiency function, reliability function and load balancing function, the output link balancing configuration module considers the actual load of each segment to evaluate the impact of different output link parameters on the load balancing of the entire power grid; the optimal output link parameters determined by the output link balancing configuration module, such as line capacity, voltage level, etc., will affect the power transmission between the segments. These parameters provide a reference for the segment balancing control module to help it further optimize the load balancing control strategy of each segment. If the output link balancing configuration module adjusts the capacity of a key link, the segment balancing control module redistributes the load of each segment according to this change to adapt to the new link conditions. During the operation of the system, when the segment balancing control module finds that the load of a segment is too heavy, it sends a signal to the output link balancing configuration module, prompting that the relevant link parameters need to be adjusted to increase the power output capacity of the segment or adjust the power flow direction. Based on this feedback, the output link balancing configuration module adjusts the link parameters through an optimization algorithm, and then feeds the adjusted parameters back to the segment balancing control module, causing it to re-evaluate and adjust the segment load, thereby achieving cyclic optimization between the two modules and improving the overall load balancing of the power grid.

[0074] The coordinated work of the output link balancing configuration module and the segment balancing control module also includes: treating different power grid segments as interrelated and interactive power subsystems, and the power load carried by each power subsystem as the energy distribution weight within the system. In the segment balancing control module, when the power load weight of a certain power subsystem is too high, that is, it exceeds the preset balance threshold range, the overall energy distribution pattern is readjusted by energy interaction and coordination with other power subsystems; the output link balancing configuration module is used to build and optimize the energy transmission channel between these subsystems. When it is found that several power subsystems are connected through a specific output link and the power load is unbalanced, the electrical parameters of the link (such as voltage level, transmission capacity, etc.) are adaptively adjusted to optimize the conversion efficiency and distribution ratio factor of energy transmission, so that the power energy can be reasonably flowed and redistributed between the power subsystems according to the predetermined balancing strategy, ensuring that the energy distribution of the entire power grid system is in a stable and efficient state, and effectively preventing the risk of system failure and collapse caused by energy overload of local power subsystems.

[0075] Embodiment 5:

[0076] The spatial region reorganization module includes a similarity calculation submodule and a clustering submodule; the similarity calculation submodule is used to receive the fused power data and use the Mahalanobis distance to calculate the similarity between different spatial regions. It measures the similarity between regions based on the statistical characteristics of the data (such as the covariance matrix). The clustering submodule reorganizes the spatial regions based on the similarity based on the hierarchical clustering algorithm. It continuously merges regions with high similarity until the preset clustering conditions, such as the number of clusters or the similarity threshold, are met.

[0077] The collaborative work of the spatial area reorganization module and the output link balancing configuration module includes: the spatial area reorganization module recombines the spatial area, and the regional division result is used as the input of the output link balancing configuration module. When considering the optimal configuration of the output link, the output link balancing configuration module evaluates the power transmission demand between different areas according to the division of the spatial area, thereby adjusting the link parameters to meet the power balance and transmission efficiency requirements between regions; the link parameters (such as line capacity, voltage level, etc.) determined by the output link balancing configuration module and the distribution of the links provide reference for the spatial area reorganization module. The direction and capacity distribution of the link will affect the division boundary of the spatial area, because the area with high-capacity link connection is more suitable to be divided into a spatial area to facilitate the consideration of power transmission and load balancing. Through the feedback mechanism, the spatial area reorganization module fine-tunes the regional division to adapt to the new link configuration, thereby achieving the coordinated optimization of the two and improving the coordination of the entire power grid system at the regional level and the link level.

[0078] By working together, the spatial area reorganization module and the output link balancing configuration module can improve the spatial adaptability and power transmission performance of the system. Reasonable spatial area division can better adapt to the geographical distribution and power transmission characteristics of the power grid, while the optimized output link configuration can ensure efficient and balanced power transmission between these areas, reduce power loss and improve system reliability.

[0079] The collaborative work of the spatial area reorganization module and the segmented balancing control module includes: the load conditions of each segment calculated by the segmented balancing control module provide data support for the spatial area reorganization module, and the spatial area reorganization module adjusts the regional division according to the requirements of segmented load balancing to make the regional structure more conducive to load balancing. The spatial area where the heavily loaded segment is located needs special consideration. For example, in the process of spatial area reorganization, for the area with unbalanced load, it can be further subdivided or merged with the adjacent area with lighter load to improve the overall load distribution. The regional division result of the spatial area reorganization module provides new regional structure information for the segmented balancing control module. Based on the newly divided spatial area, the segmented balancing control module re-examines whether the division of each segment is reasonable and whether it is necessary to adjust the boundary of the segment according to the reorganization of the spatial area to better achieve load balancing; the segmented balancing control module uses the new regional structure information to recalculate and adjust the load control strategy of each segment, thereby forming a mutually reinforcing optimization process. Through the collaborative optimization of the two modules, it helps to enhance the stability and adaptability of the system. A reasonable regional structure can better cope with the dynamic changes in grid load, and effective segmented balancing control can ensure that the load of the grid system remains within a reasonable range under different regional structures, reduce the risk of failure due to load imbalance, and improve the system's adaptability to different operating scenarios.

[0080] Embodiment 6:

[0081] The information fusion processing module includes a covariance calculation submodule and a principal component analysis submodule; the covariance calculation submodule is used to calculate the covariance matrix of the power data for each clustering area to analyze the correlation and change trend of the data in the area; the principal component analysis submodule is used to solve the eigenvalues ​​and eigenvectors of the covariance matrix, select the main eigenvectors to construct the projection matrix, perform principal component analysis on the data in the area, and realize dimensionality reduction and information fusion.

[0082] The information fusion processing module and the spatial regional reorganization module work together, including: the spatial regional reorganization module divides the power grid into different areas, and the regional division results provide the information fusion processing module with a basis for data grouping. The information fusion processing module processes the power data in each area separately according to the grouping after the spatial regional reorganization, ensuring that the fusion process is based on data with spatial correlation; after fusing the data of each area, the information fusion processing module obtains the comprehensive data characteristics of each area, and these characteristics are fed back to the spatial regional reorganization module to verify the rationality of the regional division or as a reference for further adjustment of the regional division. If the fused power data characteristics in a certain area are very similar to those of other adjacent areas, the spatial regional reorganization module is prompted to reconsider the division boundary of the area. The spatial regional reorganization module adjusts the regional division according to the feedback, and then the information fusion processing module re-fuse the data based on the new regional division, so as to optimize in this way, thereby improving the rationality of the regional division and the effectiveness of data fusion.

[0083] The collaborative work of the information fusion processing module and the output link balancing configuration module includes: the information fusion processing module fuses the data in the region, and the obtained fused data features provide important input for the output link balancing configuration module. The output link balancing configuration module uses these data features to evaluate the power transmission between regions under different link parameters, so as to optimize the link parameters more accurately. The optimization results of the link parameters by the output link balancing configuration module will affect the distribution and characteristics of the data. The information fusion processing module adjusts the fusion strategy according to the changes in the link parameters, and provides more accurate data support for the output link balancing configuration module, which helps to further optimize the link parameters and improve the power transmission efficiency and balance of the system. After the output link balancing configuration module optimizes the link capacity, the information fusion processing module can adjust the weight of the data fusion accordingly, pay more attention to the data features related to the link capacity changes, and thus provide more targeted data for the output link balancing configuration module, so that it can better evaluate the rationality of the link configuration and achieve the coordinated optimization of the two.

[0084] The information fusion processing module and the segmented balancing control module work together, including: the load information of each segment calculated by the segmented balancing control module provides a reference for the optimization of the fusion strategy of the information fusion processing module, so that the fused data is more conducive to load balancing control. When fusing data, the information fusion processing module gives different weights to the data in the area where the segments with heavier and lighter loads are located according to the segment load conditions, or focuses on the data association between the segments with unbalanced loads, so as to better fuse the data and serve the load balancing control. The information fusion processing module obtains comprehensive data features by fusing the data in the area to provide the segmented balancing control module with more comprehensive information for load balancing adjustment. When the segmented balancing control module finds that the load of a certain segment is too high, the information fusion processing module strengthens the association analysis of the data of the segment and its adjacent segments according to this information during the data fusion process, provides more valuable data support for the segmented balancing control module, and helps it adjust the load balancing strategy. Then, the segmented balancing control module redistributes the load according to the adjusted strategy, and the information fusion processing module further optimizes the data fusion strategy according to the new load conditions, so as to achieve cyclic optimization of the two.

[0085] Embodiment 7:

[0086] The adaptive link balancing configuration module includes a load monitoring submodule and a parameter adjustment submodule; the load monitoring submodule is used to monitor the load conditions of various parts of the power grid in real time and calculate load balancing indicators (such as the Gini coefficient); the parameter adjustment submodule is used to adjust the output link parameters according to the gradient information of the load balancing indicator based on the gradient descent method to optimize load balancing.

[0087] The collaborative work of the adaptive link balancing configuration module and the information fusion processing module includes: the comprehensive data reflecting the regional power characteristics obtained by the information fusion processing module through the fusion of the power data in the region is an important input of the adaptive link balancing configuration module, which is used to evaluate the load balancing status of the link in real time. The key indicators such as power and voltage in the fused regional power data can help the adaptive link balancing configuration module to determine whether the current link is in a balanced state and the degree of imbalance. In the process of adjusting the link parameters, the adaptive link balancing configuration module will change the state of the link, such as the load distribution of the link, etc. These changed link state information is fed back to the information fusion processing module, so that the information fusion processing module can adjust the data fusion strategy according to the new link state. According to the changes in the link parameters, the information fusion processing module re-integrates the data in the region to better reflect the new power transmission situation, provide more accurate data support for the next round of adjustments of the adaptive link balancing configuration module, and realize the cyclic optimization of the two.

[0088] The collaborative work of the adaptive link balancing configuration module and the spatial regional reorganization module includes: the spatial regional reorganization module provides regional structure information to the adaptive link balancing configuration module. The adaptive link balancing configuration module considers how to evenly distribute link resources between different regions based on the regional boundaries and the connection relationship between regions determined by the spatial regional reorganization module. In the process of adjusting the link balance, the adaptive link balancing configuration module will generate information such as link load changes, which will be fed back to the spatial regional reorganization module to help it evaluate the rationality of regional division. During operation, if it is found that the link load imbalance problem is difficult to solve through link adjustment, the spatial regional reorganization module needs to re-divide the region. After the new region is divided, the adaptive link balancing configuration module performs link balancing configuration based on the new regional structure, and the optimization is cyclically optimized to improve the rationality of regional division and the effectiveness of link balancing configuration.

[0089] The collaborative work of the adaptive link balancing configuration module and the output link balancing configuration module includes: the output link balancing configuration module provides the adaptive link balancing configuration module with initial link parameters (such as line capacity, voltage level, etc.) and link configuration strategies, which provides a good starting point for the dynamic adjustment of the adaptive link balancing configuration module. On this basis, the adaptive link balancing configuration module makes adaptive adjustments to the link parameters according to real-time data. During real-time operation, the adaptive link balancing configuration module will adjust the link parameters according to the dynamic changes of the power system, and these dynamic adjustment information will be fed back to the output link balancing configuration module to help it update and optimize the initial configuration of the link parameters. In the early stage of system operation, the output link balancing configuration module determines the link parameters and configuration strategies; as the system runs, the adaptive link balancing configuration module makes dynamic adjustments according to real-time data and feeds back the adjustment information to the output link balancing configuration module; based on these feedbacks, the output link balancing configuration module regularly updates the initial link parameters and configuration strategies, so that the static configuration and dynamic adjustment of the link parameters cooperate with each other to improve the overall performance of the link configuration.

[0090] The coordinated work of the adaptive link balancing configuration module and the segment balancing control module includes: the load conditions of each segment calculated by the segment balancing control module are important reference data for the adaptive link balancing configuration module to adjust the link balancing. The adaptive link balancing configuration module determines whether the link can meet the power transmission requirements of each segment and whether the link parameters need to be adjusted to balance the load between the segments based on the segment load information. After adjusting the link parameters, the adaptive link balancing configuration module will cause changes in the link load, and the load information after the changes will be fed back to the segment balancing control module. The segment balancing control module will re-evaluate the load balancing state of each segment based on the feedback information and adjust the segment load control strategy. When the segment balancing control module finds that a certain segment is overloaded, it will pass this information to the adaptive link balancing configuration module, and the adaptive link balancing configuration module will adjust the link parameters based on this information to reduce the load of the segment. Subsequently, the adaptive link balancing configuration module will feed back the load changes after the link adjustment to the segment balancing control module, and the segment balancing control module will readjust the loads of other segments based on the feedback information, so as to optimize in this way and improve the synergistic effect of segment load balancing and link balancing configuration.

[0091] The coordinated work of the adaptive link balancing configuration module and the information fusion processing module also includes: various types of power data collected by the information fusion processing module, such as power data, voltage data, current data, etc. in different regions, constitute a comprehensive and detailed quantitative description information set of the power grid operation status, and these data information are converted into key indicators for evaluating the operation efficiency and stability of each part of the power grid through data processing and analysis; such as calculating the power supply and demand balance of different regions based on power data, and deriving the loss rate and stability coefficient of power transmission through voltage and current data; when the power supply and demand balance index of a certain area shows that the power supply is excessive or insufficient, the adaptive link balancing configuration module dynamically adjusts the electrical parameters of the link according to the pre-set optimization algorithm and system stability rules, including adjusting the voltage conversion ratio of the link according to the difference in power supply and demand, optimizing the conductivity of the line according to the transmission loss (equivalent to adjusting the line capacity), and intelligently switching the transmission flow path of the power based on the stability demand, so that the power can be efficiently and stably allocated between different regions according to the optimized transmission strategy, ensuring that the power grid system always operates in a state close to the optimal state, and can respond to various internal and external changes and disturbances in a timely manner and maintain a stable power supply.

[0092] Embodiment 8:

[0093] The emergency command and dispatch module includes a fault detection submodule and a decision-making submodule; the fault detection submodule is used to receive fault information and other related data from sensors, and use fault feature analysis algorithms to identify fault types and severity; the decision-making submodule is used to generate emergency dispatch plans based on a support vector machine (SVM) model, taking fault information and current power data as input. During the training phase, this submodule uses historical fault data and corresponding dispatch plans to train the SVM model to improve the accuracy of decision-making.

[0094] The collaborative work of the emergency command and dispatch module and the adaptive link balancing configuration module includes: the emergency command and dispatch module formulates preliminary emergency strategies based on the overall architecture and fault conditions of the power grid, and the adaptive link balancing configuration module quickly adjusts the link parameters according to these strategies; at the same time, the adaptive link balancing configuration module feeds back the actual link adjustment status and possible new problems to the emergency command and dispatch module during the adjustment process, and the emergency command and dispatch module further optimizes the emergency strategy based on the feedback, forming a dynamic collaborative optimization process to more effectively respond to emergencies and ensure the safe and stable operation of the power grid.

[0095] The collaborative work between the emergency command and dispatch module and the information fusion processing module includes: the information fusion processing module continuously provides more accurate and targeted fusion data to support the emergency command and dispatch module to make more reasonable decisions. At the same time, the emergency command and dispatch module guides the information fusion processing module to optimize the data fusion strategy based on the demand feedback of the emergency scene. In the process of handling multiple emergency events, the emergency command and dispatch module, based on the data feedback provided by the information fusion processing module, finds that certain data fusion methods cannot meet the decision-making needs well in emergency situations, and makes improvement suggestions to the information fusion processing module. The information fusion processing module optimizes the data fusion strategy based on the suggestions, so that the data provided subsequently is more in line with the requirements of emergency command and dispatch, and improves the efficiency and accuracy of emergency decision-making.

[0096] The collaborative work between the emergency command and dispatch module and the spatial regional reorganization module includes: the regional division structure provided by the spatial regional reorganization module helps the emergency command and dispatch module to formulate the initial emergency strategy, and the experience and feedback of the emergency command and dispatch module in the emergency process can prompt the spatial regional reorganization module to optimize the regional division. In daily operation, the regional division of the spatial regional reorganization module supports the normal emergency decision-making of the emergency command and dispatch module. After encountering complex emergency events, the emergency command and dispatch module will feedback the regional division problems found in the emergency process to the spatial regional reorganization module. The spatial regional reorganization module optimizes the regional division based on the feedback, so that the new regional division is more conducive to future emergency dispatch, forming a circular optimization process.

[0097] The collaborative work of the emergency command and dispatch module and the output link balancing configuration module includes: the link configuration information of the output link balancing configuration module provides a decision-making basis for the emergency command and dispatch module, and the emergency adjustment feedback of the emergency command and dispatch module can help the output link balancing configuration module optimize the link configuration. After the emergency event is handled, the output link balancing configuration module evaluates the deficiencies of the existing link configuration in an emergency situation based on the emergency adjustment information fed back by the emergency command and dispatch module, and then optimizes the link parameters and configuration strategies to improve the dispatching capability and overall performance of the power grid in future emergency situations.

[0098] The collaborative work between the emergency command and dispatch module and the segmented balancing control module includes: the segmented load information and balancing control strategy provided by the segmented balancing control module provide support for the emergency decision-making of the emergency command and dispatch module, and the emergency load adjustment requirements of the emergency command and dispatch module can prompt the segmented balancing control module to optimize its load adjustment method. During the emergency event handling process, the segmented balancing control module adjusts the load according to the requirements of the emergency command and dispatch module, and feeds back the adjusted segmented load situation to the emergency command and dispatch module. The emergency command and dispatch module further optimizes the emergency strategy based on the feedback, and also guides the segmented balancing control module to further optimize the load adjustment method based on the actual situation, so as to improve the efficiency of emergency dispatch and the stability of the power grid.

[0099] The collaborative work of the emergency command and dispatch module and other modules also includes: in the spatial regional reorganization module, a dynamic regional division mechanism is set based on specific conditions. When certain key indicators in the power data (such as the accumulated value of power load in a specific area, the frequency of power fluctuations at important nodes, etc.) reach the preset threshold, the regional reorganization process is started. This is a data-driven regional reconstruction logic that adjusts the regional division strategy according to the changes in the power grid operation data, thereby optimizing the overall architecture of the power grid and the power transmission path planning, making the distribution of power grid resources in different regions more reasonable and effective. The information fusion processing module conducts comprehensive analysis and situation awareness of the multivariate data of the power grid, collects multi-dimensional power information such as voltage stability data, load change rate, power factor, etc. in each region, and uses data mining and analysis algorithms to accurately determine the health status of power supply in different regions. For example, areas with high voltage stability, small load fluctuations and excellent power factor are judged as areas with stable and efficient power supply, while those areas with frequent voltage fluctuations, sharp load changes or power factors that seriously deviate from the standard value are identified as potential risk areas or power transmission bottleneck areas, thereby providing key basis for subsequent dispatch decisions.

[0100] The adaptive link balancing configuration module realizes dynamic adjustment and optimization of the power link based on the situation analysis results provided by the information fusion processing module. When it is detected that the power load in the area connected by some links is unbalanced (such as the power load in a certain area far exceeds its carrying capacity, while the load in the adjacent area is lighter), the module quickly adjusts the link parameters, including but not limited to the adaptive adjustment of voltage levels, the redistribution of line capacity, and the intelligent switching of power flow, so as to ensure that power can be efficiently and evenly transmitted between different areas according to the optimized path, avoid power grid operation failures caused by local link overload or inefficiency, and maintain the overall stable operation of the power grid. The segmented balancing control module ensures the uniform distribution and coordinated operation of the power load in each segmented area of ​​the power grid. It monitors the power load data in each segmented area in real time and compares and analyzes it with the preset load balancing standard. When it is found that the load in a segmented area deviates from the balancing range, the load adjustment mechanism is immediately started. The distributed collaborative control strategy, through information interaction and collaborative actions with other related modules (such as the adaptive link balancing configuration module), reallocates the power resources in the segmented area, such as adjusting the output power of the power generation equipment, optimizing the charging and discharging strategies of the local energy storage device, or coordinating the power exchange with adjacent segmented areas, so as to restore the load of each segmented area to a balanced and stable state, ensure the safe and reliable operation of the power grid in each local area, and prevent chain failures caused by segment load imbalance.

[0101] The emergency command and dispatch module plays a core decision-making and command role when the power grid encounters sudden failures or abnormal situations. When the power grid suffers from large-scale natural disasters or sudden serious failures of key equipment, the module quickly collects the fault information fed back by each module (such as the fault area and impact range provided by the information fusion processing module, the link damage feedback from the adaptive link balancing configuration module, and the regional load mutation data reported by the segment balancing control module, etc.), and uses the intelligent decision-making algorithm to formulate emergency response plans based on this information. This process generates a system-level emergency response strategy under complex emergency situations, and coordinates the emergency actions of each module, such as quickly isolating the fault area, urgently deploying power resources in the surrounding areas for support, and activating backup power lines and equipment. A series of operations, to minimize the impact of the fault on the overall operation of the power grid, ensure the continuous power supply of key power users, and create favorable conditions for subsequent fault repair and full recovery of the power grid, to ensure that the power grid can still maintain basic stable operation and emergency guarantee capabilities under extreme circumstances.

[0102] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A cross-regional power grid integrated automatic dispatching system for emergency command, characterized by: Including data acquisition module and data processing center; The data acquisition module is used to collect power transmission data of cross-regional power grids from multiple data sources and transmit the data to a data processing center; the data processing center includes a big data information reorganization module, a segmented balancing control module, an output link balancing configuration module, a spatial area reorganization module, an information fusion processing module, an adaptive link balancing configuration module and an emergency command and dispatch module; The big data information reorganization module is used to reorganize the collected power transmission data and provide basic data for other modules of the data processing center; the segmented balancing control module is used to divide the power grid into segments and realize load balancing control of each segment, obtain the load distribution of each segment, and provide basic load information for the output link balancing configuration module; the output link balancing configuration module is used to realize the balanced configuration of the output link by establishing an output link balancing configuration model; the output link balancing configuration module works in conjunction with the segmented balancing control module to jointly optimize the load balancing of the power grid; The spatial regional reorganization module is used to perform spatial regional reorganization on the cross-regional power grid; the spatial regional reorganization module works in conjunction with the output link balancing configuration module to optimize regional division and link configuration; the spatial regional reorganization module works in conjunction with the segment balancing control module to optimize load balancing and regional structure; The information fusion processing module is used to perform information fusion processing on the reorganized spatial area and extract the key information after fusion to provide a basis for automatic power dispatching; the information fusion processing module works in conjunction with the spatial area reorganization module to optimize the regional division and data fusion effect; the information fusion processing module works in conjunction with the output link balancing configuration module to optimize the link configuration and data fusion strategy; the information fusion processing module works in conjunction with the segment balancing control module to optimize load balancing and data fusion; The adaptive link balancing configuration is used to monitor the power load of the cross-regional power grid in real time, dynamically adjust the parameters of the link according to the load changes, and ensure the load balancing of the cross-regional power grid; the adaptive link balancing configuration module works in conjunction with the information fusion processing module to optimize the link balancing and data fusion strategy; the adaptive link balancing configuration module works in conjunction with the spatial area reorganization module to optimize the area division and link balancing configuration; the adaptive link balancing configuration module works in conjunction with the output link balancing configuration module to optimize the static and dynamic configuration of the link parameters; the adaptive link balancing configuration module works in conjunction with the segment balancing control module to optimize the segment load balancing and link balancing configuration; The emergency command and dispatch module is used to establish an emergency command and dispatch mechanism; the emergency command and dispatch module works in conjunction with the adaptive link balancing configuration module to coordinately respond to emergencies and optimize emergency dispatch and link adjustment; the emergency command and dispatch module works in conjunction with the information fusion processing module to optimize the data support and data fusion strategy for emergency decision-making; the emergency command and dispatch module works in conjunction with the spatial area reorganization module to optimize the area division and emergency dispatch strategy; the emergency command and dispatch module works in conjunction with the output link balancing configuration module to optimize the link configuration and emergency dispatch effect; the emergency command and dispatch module works in conjunction with the segmented balancing control module to optimize the segmented load adjustment and emergency dispatch strategy.

2. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The power transmission data includes sensor data, monitoring equipment data and power grid operation data; the data acquisition module includes a sensor network and a data acquisition device; the sensor network is used to collect power system operation parameters in real time and is connected to the data acquisition device through wired or wireless communication; the data acquisition device is used to send the data received from the sensor network to a data processing center after preliminary processing; the sensor network includes various types of sensors deployed at various key nodes of the cross-regional power grid, including voltage sensors, current sensors, power sensors, and fault detection sensors; the big data information reorganization module includes a data cleaning submodule and a data fusion submodule; the data cleaning submodule filters the data of each sensor; the data fusion submodule adopts a data fusion algorithm, uses the least squares method to calculate the fusion weight, and performs weighted average fusion on the filtered data.

3. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The segment balancing control module includes a segment division submodule and a load balancing control submodule; the segment division submodule divides the cross-regional power grid into multiple segments according to the topological structure and operation characteristics of the power grid, and establishes a mapping relationship between each segment and the acquisition node; The load balancing control submodule is connected to the segmentation submodule and the data fusion submodule, and is used to calculate the load index of each segment, determine the optimal control strategy for each segment, and achieve load balancing among the segments; The output link balancing configuration module includes a link parameter modeling submodule and a multi-objective optimization submodule; the link parameter modeling submodule is connected to the load balancing control submodule, and is used to establish a mathematical model between the output link parameters and the power transmission efficiency, reliability, and load balancing; the multi-objective optimization submodule is connected to the link parameter modeling submodule, and is used to perform multi-objective optimization on the link parameters to find the optimal output link parameters that meet the multi-objective optimization requirements; The output link balancing configuration module and the segment balancing control module work in coordination, including: the segment balancing control module divides the power grid into segments and implements load balancing control of each segment, obtains the load distribution of each segment and inputs the load information into the output link balancing configuration module; when constructing the power transmission efficiency function, the reliability function and the load balancing function, the output link balancing configuration module evaluates the impact of different output link parameters on the load balancing of the entire power grid according to the actual load conditions of each segment; the optimal output link parameters determined by the output link balancing configuration module are fed back to the segment balancing control module, so that it re-evaluates and adjusts the segment load, thereby realizing cyclic optimization between the two modules.

4. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The output link balancing configuration module and the segment balancing control module work in coordination, including: regarding different power grid segments as interrelated and interactive power subsystems, and the power load carried by each power subsystem as the energy distribution weight within the system; in the segment balancing control module, when the power load weight of a certain power subsystem is too high, that is, exceeds the preset balancing threshold range, the overall energy distribution pattern is readjusted by energy interaction and coordination with other power subsystems; the output link balancing configuration module constructs and optimizes the energy transmission channel between these subsystems; when it is found that several power subsystems are connected through a specific output link and an unbalanced power load occurs, the electrical parameters of the link are adaptively adjusted to optimize the conversion efficiency and distribution ratio factor of energy transmission, so that the electric energy can flow and be redistributed between the power subsystems according to the predetermined balancing strategy, ensuring that the energy distribution of the entire power grid system is in a stable and efficient state.

5. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The spatial region reorganization module includes a similarity calculation submodule and a clustering submodule; The similarity calculation submodule is used to receive the fused power data and calculate the similarity between different spatial regions; The clustering submodule is used to reorganize the spatial regions according to similarity; The collaborative work of the spatial area reorganization module and the output link balancing configuration module includes: after the spatial area reorganization module reorganizes the spatial area, the obtained area division result is input into the output link balancing configuration module, and when considering the optimal configuration of the output link, the output link balancing configuration module evaluates the power transmission demand between different areas according to the division of the spatial area, thereby adjusting the link parameters; the link parameters and the distribution of the links determined by the output link balancing configuration module provide a reference for the spatial area reorganization module, and the area with high-capacity link connection is divided into a spatial area according to the direction and capacity distribution of the link; The collaborative work of the spatial area reorganization module and the segmented balancing control module includes: the spatial area reorganization module adjusts the area division according to the load conditions of each segment calculated by the segmented balancing control module, so that the regional structure is more conducive to load balancing. During the spatial area reorganization process, the area with unbalanced load is further subdivided or merged with the adjacent area with lighter load; the area division result of the spatial area reorganization module provides new area structure information for the segmented balancing control module, and the segmented balancing control module uses the new area structure information to recalculate and adjust the load control strategy of each segment.

6. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The information fusion processing module includes a covariance calculation submodule and a principal component analysis submodule; the covariance calculation submodule is used to calculate the covariance matrix of the power data for each clustering area to analyze the correlation and change trend of the data in the area; the principal component analysis submodule is used to solve the eigenvalues ​​and eigenvectors of the covariance matrix, select the main eigenvectors to construct a projection matrix, perform principal component analysis on the data in the area, and realize dimensionality reduction and information fusion; The information fusion processing module and the spatial area reorganization module work in coordination, including: the area division result of the spatial area reorganization module provides the information fusion processing module with a data grouping basis, the information fusion processing module processes the power data in each area separately according to the grouping after the spatial area reorganization, and fuses the data based on spatial correlation; after fusing the data of each area, the information fusion processing module obtains the comprehensive data features of each area, and feeds these features back to the spatial area reorganization module for verifying the rationality of the area division or as a reference for further adjusting the area division; The information fusion processing module and the output link balancing configuration module work in coordination, including: the information fusion processing module inputs the obtained fused data features into the output link balancing configuration module, and the output link balancing configuration module uses these data features to evaluate the power transmission between various regions under different link parameters and optimize the link parameters; according to the influence of the link parameter optimization result of the output link balancing configuration module on the distribution and features of the data, the information fusion processing module adjusts the fusion strategy according to the data features related to the link capacity change; The collaborative work of the information fusion processing module and the segmented balancing control module includes: the segmented balancing control module inputs the calculated load information of each segment into the information fusion processing module to provide a reference for its fusion strategy optimization; the information fusion processing module gives different weights to the data in the areas where the segments with heavier and lighter loads are located according to the segmented load conditions, or focuses on the data association between the segments with unbalanced loads; the information fusion processing module inputs the comprehensive data features obtained by fusing the data in the area into the segmented balancing control module, and formulates a load balancing strategy based on the judgment of the power interaction relationship between the segments; the segmented balancing control module redistributes the load according to the adjusted load balancing strategy, and the information fusion processing module further optimizes the data fusion strategy according to the new load conditions, thereby realizing a cyclic optimization of the two.

7. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The adaptive link balancing configuration module includes a load monitoring submodule and a parameter adjustment submodule; the load monitoring submodule is used to monitor the load conditions of various parts of the power grid in real time and calculate the load balancing index; the parameter adjustment submodule is used to adjust the output link parameters according to the gradient information of the load balancing index to optimize the load balancing; The cooperative work of the adaptive link balancing configuration module and the information fusion processing module includes: the information fusion processing module inputs the comprehensive data reflecting the regional power characteristics obtained by fusing the regional power data into the adaptive link balancing configuration module to determine whether the current link is in a balanced state and the degree of imbalance; the adaptive link balancing configuration module feeds back the link state information that has changed in the process of adjusting the link parameters to the information fusion processing module, and the information fusion processing module re-integrates the data in the region according to the change of the link parameters; The coordinated work of the adaptive link balancing configuration module and the spatial area reorganization module includes: the spatial area reorganization module inputs the determined area boundaries and the connection relationship between the areas into the adaptive link balancing configuration module to evenly distribute link resources between different areas; the adaptive link balancing configuration module feeds back the link load change information generated in the process of adjusting the link balancing to the spatial area reorganization module to re-divide the area, and then the adaptive link balancing configuration module performs link balancing configuration based on the new area structure to achieve cyclic optimization; The cooperative work of the adaptive link balancing configuration module and the output link balancing configuration module includes: the output link balancing configuration module provides the adaptive link balancing configuration module with initial link parameters and link configuration strategies, and the adaptive link balancing configuration module uses this as the starting point for dynamic adjustment and performs adaptive adjustment of link parameters according to real-time data; the adaptive link balancing configuration module feeds back the dynamic adjustment information generated by adjusting the link parameters according to the dynamic changes of the power system during real-time operation to the output link balancing configuration module, and the output link balancing configuration module regularly updates the initial link parameters and configuration strategies according to the feedback information, so as to realize the coordination between the static configuration and dynamic adjustment of link parameters; The collaborative work of the adaptive link balancing configuration module and the segment balancing control module includes: the segment balancing control module inputs the load conditions of each segment calculated by it into the adaptive link balancing configuration module, and the adaptive link balancing configuration module determines whether the link can meet the power transmission requirements of each segment according to the segment load information, and whether the link parameters need to be adjusted to balance the load between the segments; the adaptive link balancing configuration module feeds back the load information after the link load changes caused by adjusting the link parameters to the segment balancing control module, and the segment balancing control module re-evaluates the load balancing status of each segment according to the feedback information, and adjusts the segment load control strategy.

8. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The collaborative work of the adaptive link balancing configuration module and the information fusion processing module includes: the various types of power data collected by the information fusion processing module constitute a comprehensive and detailed quantitative description information set of the power grid operation status, and these data information are converted into key indicators for evaluating the operation efficiency and stability of each part of the power grid through data processing and analysis; such as calculating the power supply and demand balance of different regions based on power data, and deriving the loss rate and stability coefficient of power transmission through voltage and current data; when the power supply and demand balance index of a certain area shows an oversupply or shortage of power, the adaptive link balancing configuration module dynamically adjusts the electrical parameters of the link according to the optimization algorithm and system stability rules, including adjusting the voltage conversion ratio of the link according to the difference in power supply and demand, optimizing the conductivity of the line according to the transmission loss situation, and intelligently switching the transmission flow path of power based on stability requirements, so that power is allocated between different regions according to the optimized transmission strategy, ensuring that the power grid system always operates in a near-optimal state.

9. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1 is characterized in that: The emergency command and dispatch module includes a fault detection submodule and a decision submodule; The fault detection submodule is used to receive fault information and other related data from sensors, and identify the fault type and severity using a fault feature analysis algorithm; the decision submodule is used to generate an emergency dispatch plan based on the fault information and current power data as input; The collaborative work of the emergency command and dispatch module and the adaptive link balancing configuration module includes: the emergency command and dispatch module formulates preliminary emergency strategies based on the overall architecture and fault conditions of the power grid, the adaptive link balancing configuration module quickly adjusts the link parameters according to these strategies, and during the adjustment process, the actual link adjustment status and new problems that arise are fed back to the emergency command and dispatch module, and the emergency command and dispatch module further optimizes the emergency strategy based on the feedback, forming a dynamic collaborative optimization process to more effectively respond to emergencies and ensure the safe and stable operation of the power grid; The collaborative work of the emergency command and dispatch module and the information fusion processing module includes: the information fusion processing module continuously provides more accurate and targeted fusion data to support the emergency command and dispatch module to make more reasonable decisions. At the same time, the emergency command and dispatch module guides the information fusion processing module to optimize the data fusion strategy based on the demand feedback of the emergency scene. In the process of handling multiple emergency events, the emergency command and dispatch module finds that certain data fusion methods cannot meet the decision-making needs well in emergency situations based on the data feedback provided by the information fusion processing module. At this time, the emergency command and dispatch module can make improvement suggestions to the information fusion processing module, and the information fusion processing module optimizes the data fusion strategy according to the suggestions, so that the data provided subsequently is more in line with the requirements of emergency command and dispatch, and improves the efficiency and accuracy of emergency decision-making. The information fusion processing module provides the comprehensive data features reflecting the regional power operation status to the emergency command and dispatch module as an important basis for quickly evaluating the power status of each region when making emergency decisions; in the process of emergency command and dispatch, the emergency command and dispatch module will feedback the demand information for focusing on specific areas or specific types of data based on the fault type and emergency target to the information fusion processing module, and the information fusion processing module will strengthen the processing and analysis of these regional or type data according to this demand; The collaborative work of the emergency command and dispatch module and the spatial regional reorganization module includes: the emergency command and dispatch module formulates an emergency strategy based on the regional structure divided by the spatial regional reorganization module and the connection mode between the regions; the emergency command and dispatch module feeds back the regional division problems found during the emergency process to the spatial regional reorganization module, and the spatial regional reorganization module performs new regional division according to the feedback; The collaborative work of the emergency command and dispatch module and the output link balancing configuration module includes: the link configuration information of the output link balancing configuration module provides a decision basis for the emergency command and dispatch module, and the output link balancing configuration module optimizes the link configuration based on the emergency adjustment feedback of the emergency command and dispatch module; The collaborative work of the emergency command and dispatch module and the segmented balancing control module includes: the segmented load information and balancing control strategy provided by the segmented balancing control module provide support for the emergency decision-making of the emergency command and dispatch module, and the emergency load adjustment requirements of the emergency command and dispatch module enable the segmented balancing control module to optimize its load adjustment method.

10. The cross-regional power grid integrated automatic dispatching system for emergency command according to claim 1, characterized in that: The emergency command and dispatch module works in coordination with other modules, including: in the spatial area reorganization module, a dynamic area division mechanism triggered by specific conditions is set, and when certain key indicators in the power data reach a preset threshold, the regional reorganization process is started; the information fusion processing module performs comprehensive analysis and situation awareness on the multivariate data of the power grid, and determines the health status of power supply in different areas by collecting multi-dimensional power information such as voltage stability data, load change rate, power factor, etc. in each area; the adaptive link balancing configuration module realizes dynamic adjustment and optimization of the power link according to the situation analysis results provided by the information fusion processing module, and when it is detected that the power load imbalance occurs in the area connected by some links, the module quickly adjusts the link parameters; the segmented balancing control module ensures the uniform distribution and coordinated operation of the power load in each segmented area of ​​the power grid, and compares and analyzes the power load data in each segmented area in real time with the preset load balancing standard. When it is found that the load in a segmented area deviates from the balancing range, the load adjustment mechanism is immediately started; when the power grid suffers from a large-scale natural disaster or a sudden serious failure of key equipment, the emergency command and dispatch module quickly collects the fault information fed back by each module, and formulates an emergency treatment plan based on this information.

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