Power grid intelligent control method and system in emergency scene

Abstract

The invention provides a power grid intelligent control method and system in an emergency scene, and relates to the technical field of power grid operation capability evaluation, and the method comprises the steps: monitoring a fault region in a smart power grid in the emergency scene, and constructing a power communication network model; obtaining the communication service type of each power grid communication node in the power communication network model, determining the communication criticality of each power grid communication node according to the corresponding communication service type, and carrying out emergency degree measurement on each power grid communication node to obtain the topology emergency degree of each power grid communication node; determining a communication recovery priority coefficient of each power grid communication node through the corresponding topology emergency degree and the corresponding communication criticality, obtaining deployment information of the power grid communication base station, and generating a communication recovery sequence based on the deployment information and all the communication recovery priority coefficients; according to the method and the device, the communication recovery decision can be efficiently and accurately controlled in an emergency scene, so that the decision real-time performance of a power grid intelligent control system is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid operation capability assessment, and more specifically, to a method and system for intelligent control of a power grid in an emergency scenario. Background Art

[0002] The intelligent control system of the power grid in emergency scenarios is a key component to ensure stable and rapid recovery of power supply in the event of emergencies, natural disasters or equipment failures. It achieves rapid response and adjustment to the operation status of the power grid through real-time monitoring, automatic control, intelligent decision-making and remote operation, thereby ensuring that the power system can return to normal in the shortest time or provide necessary emergency power support.

[0003] With the continuous growth of electricity demand and the continuous expansion of the power grid structure, the power grid has become increasingly large and complex. The coupling relationship between the distribution network and the communication network means that when a distribution network fails, it may cause a communication network failure through a cascade relationship, thereby expanding the scope of the failure. When emergency power supply is carried out after a distribution network failure, it is necessary to remotely control equipment such as contact switches through the communication network to transfer loads, but the failure of the communication network will make this measure impossible. Therefore, how to efficiently and accurately control communication recovery decisions in emergency scenarios to improve the real-time decision-making of power grid intelligent control systems is a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a method and system for intelligent control of a power grid in an emergency scenario, which can efficiently and accurately control communication restoration decisions in an emergency scenario to improve the real-time decision-making of the power grid intelligent control system.

[0005] In a first aspect, the present application provides a method for intelligently controlling a power grid in an emergency scenario, the control method comprising the following steps:

[0006] Monitoring fault areas in the smart grid in emergency scenarios and building a power communication network model of the fault areas;

[0007] Acquire the communication service type of each power grid communication node in the power communication network model, determine the communication criticality of each power grid communication node according to the corresponding communication service type, measure the urgency of each power grid communication node in the power communication network model, and obtain the topological urgency of each power grid communication node;

[0008] Determine the communication recovery priority coefficient of each power grid communication node in the power communication network model by the corresponding topological urgency and the corresponding communication criticality, obtain the deployment information of the power grid communication base station in the fault area, and generate the communication recovery order for the power grid communication base stations in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients;

[0009] Emergency dispatch is performed for repair of power grid communication base stations in the fault area according to the communication recovery sequence.

[0010] In this embodiment, a patrol drone is used to monitor the fault area in the smart grid in an emergency scenario.

[0011] In this embodiment, constructing the power communication network model of the fault area is to model the coupling relationship between the distribution network and the communication network in the fault area, and then obtain the power communication network model of the fault area.

[0012] In this embodiment, determining the communication criticality of each power grid communication node according to the corresponding communication service type specifically includes:

[0013] Obtain the weights of various communication service types in smart grid;

[0014] For each power grid communication node in the power communication network model, obtaining a communication service type of the power grid communication node;

[0015] The communication criticality of the power grid communication node is determined according to the communication service type and its corresponding weight, and then the communication criticality of each power grid communication node is obtained.

[0016] In this embodiment, the urgency of each power grid communication node in the power communication network model is measured respectively, and the topological urgency of each power grid communication node is obtained, which specifically includes:

[0017] For each power grid communication node in the power communication network model, importance measurement is performed on the power grid communication node to obtain the node importance of the power grid communication node;

[0018] Determining a network load factor of the power grid communication node;

[0019] Determining the topological importance of the power grid communication node by means of the node importance and the network load factor;

[0020] Determining a node criticality of the power grid communication node;

[0021] The topology importance and the node criticality are used to determine the topology urgency of the power grid communication node, thereby obtaining the topology urgency of each power grid communication node.

[0022] In this embodiment, the importance of the power grid communication node is measured to obtain the node importance of the power grid communication node, which specifically includes:

[0023] Obtaining the node degree and node betweenness of the power grid communication node in the power communication network model;

[0024] The node importance of the power grid communication node is determined according to the node degree and the node betweenness.

[0025] In this embodiment, the network load factor of the power grid communication node is determined by taking the ratio of the total node load of the power grid communication node after a fault occurs to the total node load before the fault occurs as the network load factor of the power grid communication node.

[0026] In this embodiment, generating a communication restoration order for the power grid communication base stations in the fault area based on the deployment information of the power grid communication base stations and all communication restoration priority coefficients specifically includes:

[0027] Extracting the deployment location and coverage of each power grid communication base station from the deployment information of the power grid communication base station;

[0028] For each power grid communication base station, determining all power grid communication nodes within the power grid communication base station according to the deployment location and coverage of the power grid communication base station;

[0029] Determining the restoration priority of the power grid communication base station by the communication restoration priority coefficient of each power grid communication node in the power grid communication base station, and then obtaining the restoration priority of each power grid communication base station;

[0030] The power grid communication base stations are sorted based on all restoration priorities to obtain a communication restoration order for the power grid communication base stations in the fault area.

[0031] In this embodiment, emergency dispatching of the repair of the power grid communication base stations in the fault area according to the communication recovery sequence is to perform emergency dispatching of the repair of the power grid communication base stations in the fault area according to the arrangement order of the power grid communication base stations in the communication recovery sequence.

[0032] In a second aspect, the present application provides an intelligent control system for a power grid in an emergency scenario, which is used to execute an intelligent control method for a power grid in an emergency scenario, and the control system includes:

[0033] A power grid monitoring module, used to monitor the fault area in the smart grid in an emergency scenario and build a power communication network model of the fault area;

[0034] A node measurement module is used to obtain the communication service type of each power grid communication node in the power communication network model, determine the communication criticality of each power grid communication node according to the corresponding communication service type, measure the urgency of each power grid communication node in the power communication network model, and obtain the topological urgency of each power grid communication node;

[0035] A recovery order determination module is used to determine the communication recovery priority coefficient of each power grid communication node in the power communication network model according to the corresponding topological urgency and the corresponding communication criticality, obtain the deployment information of the power grid communication base station in the fault area, and generate the communication recovery order for the power grid communication base station in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients;

[0036] The emergency control module is used to perform emergency dispatching for the repair of the power grid communication base stations in the fault area according to the communication recovery sequence.

[0037] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects:

[0038] By monitoring the fault area in the smart grid under emergency scenarios, and constructing a power communication network model of the fault area; obtaining the communication service type of each power grid communication node in the power communication network model, determining the communication criticality of each power grid communication node according to the corresponding communication service type, and measuring the urgency of each power grid communication node in the power communication network model to obtain the topological urgency of each power grid communication node; determining the communication recovery priority coefficient of each power grid communication node in the power communication network model according to the corresponding topological urgency and the corresponding communication criticality, obtaining the deployment information of the power grid communication base station in the fault area, and generating the communication recovery order for the power grid communication base station in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients; and performing emergency dispatch for the repair of the power grid communication base station in the fault area according to the communication recovery order.

[0039] It can be seen that in this application, first, by identifying and analyzing the communication service type of each power grid communication node, the communication criticality of each power grid communication node can be evaluated, and by measuring the urgency of each node, the power grid intelligent control system can quickly identify the power grid communication node that most needs to be restored in an emergency scenario, reduce downtime, and ensure the stability of power grid communication; then, by combining the topological urgency and communication criticality to quantify the communication recovery priority of the power grid communication node, the recovery priority of the power grid communication base station is calculated based on the communication recovery priority of the power grid communication node, which can ensure that the most critical power grid communication base station can be restored at the first time during the recovery process, ensuring the stability and reliability of the power grid operation. In the emergency response process, by generating a communication recovery sequence, the intelligent control system can start the recovery operation immediately after a fault occurs, improve the real-time and accuracy of decision-making, and ensure the rapidity and accuracy of the intelligent grid recovery; finally, the emergency repair dispatch of the power grid communication base station is carried out according to the communication recovery sequence, which can ensure that in the power grid failure scenario, the communication function is restored in the optimal order and resource allocation, reduce the impact of the power grid failure, and improve the speed and efficiency of the emergency response, thereby accelerating the comprehensive recovery and stable operation of the power grid.

[0040] In summary, the technical solution adopted in this application can efficiently and accurately control communication restoration decisions in emergency scenarios to improve the real-time decision-making of the power grid intelligent control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0042] Figure 1 It is a flow chart of the intelligent control method of the power grid in emergency scenarios provided by this application;

[0043] Figure 2 is an exemplary flow chart for determining the topological urgency of each power grid communication node provided by the present application;

[0044] Figure 3 is an exemplary flow chart of generating a communication recovery sequence for a power grid communication base station in a fault area according to the present application;

[0045] Figure 4 It is a module structure diagram of the power grid intelligent control system in emergency scenarios provided by this application. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments and drawings. The schematic implementation modes and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention. It should be noted that the present invention is already in the actual development and use stage.

[0047] Embodiment 1: In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown, this figure is an exemplary flow chart of a power grid intelligent control method in an emergency scenario according to this embodiment of the present application, and the control method includes the following steps:

[0048] In step S1, a fault area in a smart grid under an emergency scenario is monitored, and a power communication network model of the fault area is constructed.

[0049] In specific implementation, inspection drones are used to monitor the fault areas in smart grids under emergency scenarios; monitoring the fault areas in smart grids under emergency scenarios by inspection drones is an important means to improve the response speed of power grid faults, ensure power restoration, and reduce manpower investment. Drone inspections combine real-time image acquisition, sensor data processing and intelligent analysis to provide efficient, flexible and accurate solutions for monitoring and fault diagnosis of power systems; it should be noted that in this application, the fault area refers to the area where communication equipment in the smart grid cannot work normally under emergency scenarios, and it is not just the area where power supply is interrupted, but in actual implementation, communication equipment is generally equipped with corresponding emergency power supplies or energy storage resources.

[0050] In this embodiment, constructing the power communication network model of the fault area is to model the coupling relationship between the distribution network and the communication network in the fault area, and then obtain the power communication network model of the fault area; in specific implementation, the complex network theory can be used to simplify the modeling of the original smart grid network, so as to obtain the power communication network model of the fault area, and the power communication network model includes multiple grid communication nodes and the topological relationship between each grid communication node.

[0051] In step S2, the communication service type of each power grid communication node in the power communication network model is obtained, the communication criticality of each power grid communication node is determined according to the corresponding communication service type, and the urgency of each power grid communication node in the power communication network model is measured to obtain the topological urgency of each power grid communication node.

[0052] In specific implementation, the communication service type of each grid communication node in the power communication network model can be obtained from the management system of the smart grid; the grid communication nodes in the smart grid will perform different communication services, and the type of communication service is crucial to the stability and emergency response of the power grid; in this application, the communication service types include: load control, distribution automation, intelligent inspection, distributed source storage control and electricity consumption information collection services.

[0053] In this embodiment, the communication criticality of each power grid communication node may be determined according to the corresponding communication service type in the following manner, namely:

[0054] Obtain the weights of various communication service types in smart grid;

[0055] For each power grid communication node in the power communication network model, obtaining a communication service type of the power grid communication node;

[0056] The communication criticality of the power grid communication node is determined according to the communication service type and its corresponding weight, and then the communication criticality of each power grid communication node is obtained.

[0057] In the specific implementation, first, the weights of various communication service types in the smart grid can be obtained. There are many types of communication services in the smart grid, and the urgency and importance of each communication service type are different. Therefore, it is very critical to assign different weights. The weights of communication service types can be set through expert scoring and historical experiments, which will not be repeated here; then, for each power grid communication node in the power communication network model, the communication service type of the power grid communication node can be obtained by traversal; finally, the communication criticality of the power grid communication node can be determined according to the communication service type and its corresponding weight, where the communication criticality indicates the criticality of the power grid communication node for communication in the smart grid. In actual implementation, the weight of the communication service type corresponding to the power grid communication node can be used as the communication criticality of the power grid communication node. If there are multiple communication service types corresponding to the power grid communication node, the sum of the weights of all corresponding communication service types can be used as the communication criticality of the power grid communication node. The communication criticality of each power grid communication node can be obtained in the above manner.

[0058] Preferably, in this embodiment, reference Figure 2 As shown, this figure is an exemplary flow chart for determining the topological urgency of each power grid communication node in an embodiment of the present application. In this embodiment, the urgency of each power grid communication node in the power communication network model is measured respectively, and the topological urgency of each power grid communication node can be obtained by the following steps:

[0059] First, in step S21, for each power grid communication node in the power communication network model, the importance of the power grid communication node is measured to obtain the node importance of the power grid communication node;

[0060] Then, in step S22, a network load factor of the power grid communication node is determined;

[0061] Secondly, in step S23, the topological importance of the power grid communication node is determined by the node importance and the network load factor;

[0062] Then, in step S24, the node criticality of the power grid communication node is determined;

[0063] Finally, in step S25, the topology importance and the node criticality are used to determine the topology urgency of the power grid communication node, thereby obtaining the topology urgency of each power grid communication node.

[0064] In specific implementation, first, for each power grid communication node in the power communication network model, the importance of the power grid communication node can be measured to obtain the node importance of the power grid communication node, wherein the node importance is an indicator used to measure the importance of the power grid communication node; then, the network load factor of the power grid communication node is determined by taking the ratio of the total node load of the power grid communication node after the failure to the total node load before the failure as the network load factor of the power grid communication node, wherein the network load factor is the impact of the power grid communication node failure on other loads of the smart grid, and the total node load of the power grid communication node before the failure can be obtained in the smart grid management system, and the total node load of the power grid communication node after the failure can be predicted by the dynamic load analysis tool; secondly, the topological importance of the power grid communication node can be determined by the node importance and the network load factor, wherein the topological importance is an indicator used to measure the importance of the power grid communication node in the smart grid network topology. In actual implementation, the topological importance can be determined by the following formula:

[0065]

[0066] Among them, S represents the topological importance of the power grid communication node, α represents the node importance of the power grid communication node, and β represents the network load factor of the power grid communication node.

[0067] In addition, in the specific implementation, the node criticality of the power grid communication node can be determined, wherein the node criticality is an indicator for measuring the criticality of the power grid communication node in the network topology structure, and the node degree and node betweenness of the power grid communication node can be obtained in the power communication network model, wherein the node degree indicates the number of connections between the power grid communication node and other power grid communication nodes, and the node betweenness is an indicator for measuring the connection function of the power grid communication node, that is, in the power communication network model, how many shortest paths pass through the power grid communication node, so that the product of the node degree and the node betweenness can be used as the node criticality of the power grid communication node; finally, the topological importance and node criticality can be used to determine the topological urgency of the power grid communication node, wherein the topological urgency indicates the urgency of repairing the power grid communication node for the repair of the smart grid topology structure in an emergency scenario, and the sum of the topological importance and node criticality can be used as the topological urgency of the power grid communication node, and the topological urgency of each power grid communication node can be obtained in the above manner.

[0068] In this embodiment, the importance of the power grid communication node is measured to obtain the node importance of the power grid communication node in the following manner, namely:

[0069] Obtaining the node degree and node betweenness of the power grid communication node in the power communication network model;

[0070] The node importance of the power grid communication node is determined according to the node degree and the node betweenness.

[0071] In specific implementation, first, the node degree and node betweenness of the power grid communication node can be obtained in the power communication network model; then, the node importance of the power grid communication node can be determined according to the node degree and node betweenness. In actual implementation, the node importance can be determined by the following formula:

[0072]

[0073] Among them, α represents the node importance of the power grid communication node, a and b represent the node degree and node betweenness of the power grid communication node, respectively, and max(a) and max(b) represent the maximum node degree and maximum node betweenness in the power communication network model, respectively.

[0074] It should be noted that by identifying and analyzing the communication service type of each power grid communication node, the communication criticality of each power grid communication node can be evaluated, and by measuring the urgency of each node, it can help the power grid intelligent control system quickly identify the power grid communication nodes that most need to be restored in emergency scenarios, avoid blind restoration, reduce downtime, and ensure the stability of power grid communications.

[0075] In step S3, the communication recovery priority coefficient of each power grid communication node in the power communication network model is determined by the corresponding topological urgency and the corresponding communication criticality, the deployment information of the power grid communication base station in the fault area is obtained, and the communication recovery order for the power grid communication base stations in the fault area is generated based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients.

[0076] In this embodiment, the communication recovery priority coefficient of each power grid communication node in the power communication network model is determined by the corresponding topological urgency and the corresponding communication criticality: it should be noted that in the present application, the communication recovery priority coefficient is an indicator for measuring the priority of power grid communication node recovery in emergency scenarios; in specific implementation, weights can be assigned to the topological urgency and communication criticality respectively according to historical experiments and data analysis, so that for each power grid communication node in the power communication network model, the topological urgency and communication criticality corresponding to the power grid communication node can be weighted and summed, and the result is used as the communication recovery priority coefficient of the power grid communication node. The communication recovery priority coefficient of each power grid communication node in the power communication network model can be obtained in the above manner.

[0077] In this embodiment, the deployment information of the power grid communication base station in the fault area can be obtained through the smart grid management system. The deployment information of the power grid communication base station generally includes the geographical location, coverage, communication capability, load condition, link quality between power grid communication nodes, etc. of the power grid communication base station.

[0078] Preferably, in this embodiment, reference Figure 3 As shown, this figure is an exemplary flow chart of generating a communication recovery order for a power grid communication base station in a fault area in an embodiment of the present application. In this embodiment, the communication recovery order for the power grid communication base station in the fault area is generated based on the deployment information of the power grid communication base station and all communication recovery priority coefficients, which can be specifically implemented by the following steps:

[0079] First, in step S31, the deployment location and coverage of each power grid communication base station are extracted from the deployment information of the power grid communication base station;

[0080] Then, in step S32, for each power grid communication base station, all power grid communication nodes within the power grid communication base station are determined according to the deployment location and coverage of the power grid communication base station;

[0081] Secondly, in step S34, the restoration priority of the power grid communication base station is determined by the communication restoration priority coefficient of each power grid communication node in the power grid communication base station, thereby obtaining the restoration priority of each power grid communication base station;

[0082] Finally, in step S35, the power grid communication base stations are sorted based on all the restoration priorities to obtain a communication restoration order for the power grid communication base stations in the fault area.

[0083] In specific implementation, first, the deployment location and coverage of each power grid communication base station can be extracted from the deployment information of the power grid communication base station in a traversal manner; then, for each power grid communication base station, all power grid communication nodes in the power grid communication base station, that is, all power grid communication nodes within the coverage of the power grid communication base station, can be determined according to the deployment location and coverage of the power grid communication base station; secondly, the recovery priority of the power grid communication base station can be determined by the communication recovery priority coefficient of each power grid communication node in the power grid communication base station, wherein the recovery priority represents the degree of recovery priority of the power grid communication base station in an emergency scenario, and the sum of the communication recovery priority coefficients of each power grid communication node in the power grid communication base station can be used as the recovery priority of the power grid communication base station, and the recovery priority of each power grid communication base station can be obtained in the above manner; finally, each power grid communication base station can be sorted based on all recovery priorities, that is, each power grid communication base station is sorted in descending order according to the size of the recovery priority, thereby obtaining a sequence, which can be used as the communication recovery order of the power grid communication base stations in the fault area.

[0084] It should be noted that by quantifying the communication recovery priority of the power grid communication node in combination with the topological urgency and the communication criticality, the recovery priority of the power grid communication base station is calculated based on the communication recovery priority of the power grid communication node. This can ensure that during the recovery process, the most critical power grid communication base station can be restored in the first place, ensuring the stability and reliability of the power grid operation. During the emergency response process, by generating a communication recovery sequence, the intelligent control system can start the recovery operation immediately after a fault occurs, thereby improving the real-time and accuracy of decision-making and ensuring the rapidity and accuracy of smart grid recovery.

[0085] In step S4, emergency dispatch is performed for repair of power grid communication base stations in the fault area according to the communication recovery sequence.

[0086] In this embodiment, emergency dispatch of the emergency repair of the power grid communication base stations in the fault area according to the communication recovery order is to perform emergency dispatch of the emergency repair of the power grid communication base stations in the fault area according to the arrangement order of the power grid communication base stations in the communication recovery order; in specific implementation, emergency repair tasks and resources (such as emergency repair teams, equipment, materials, etc.) can be allocated to each power grid communication base station, and the power grid communication base stations ranked at the front in the communication recovery order should give priority to dispatching corresponding emergency repair forces for repair. For power grid communication base stations with high recovery priority, more resources are usually required, such as personnel, equipment, technical support, etc., to ensure that communication is restored as soon as possible and minimize the impact of the failure.

[0087] It should be noted that emergency repair dispatch of power grid communication base stations according to the communication recovery order can ensure that in the power grid failure scenario, communication functions are restored in the optimal order and resource allocation, reducing the impact of power grid failures and improving the speed and efficiency of emergency response, thereby accelerating the full recovery and stable operation of the power grid.

[0088] In step S4, emergency dispatch is performed on the repair of the power grid communication base stations in the fault area according to the communication recovery order, including dispatch optimization of the power grid communication base station resources based on a pre-configured resource allocation optimization model, wherein the resource allocation optimization model is constructed based on a comprehensive loss index and an emergency resource information set, and the comprehensive loss index is determined based on a partition risk assessment model and power grid load data.

[0089] In an optional embodiment of the present application, the process of constructing the partition risk assessment model includes:

[0090] Determine key statistical features in each preset time period, wherein the key statistical features may include statistical features such as variance, average value, difference between maximum and minimum values ​​of various historical power parameter values ​​in the time period, health status of each power grid device, various statistical features of various environmental parameters in the time period, and quantitative values ​​of all geographic information features, such as altitude, slope, land use type, terrain classification index, digital elevation and other information;

[0091] A Bayesian network model is used as a partition risk assessment model, wherein the partition risk assessment model takes key statistical features of each time period as input;

[0092] Use structural learning algorithms to build the structure of the Bayesian network to represent the conditional dependencies between key statistical features and manually add known physical or engineering constraints;

[0093] The partition risk assessment model outputs an estimated probability of failure occurring in each time period according to the key statistical characteristics of the time period; it iteratively optimizes the parameters of each conditional probability table in the Bayesian network by using the maximum likelihood estimation or Bayesian estimation method for each time period;

[0094] In an optional embodiment of the present application, the resource demand ratio Bi is calculated according to the following formula:

[0095]

[0096] Wherein, i represents the serial number mark of each power grid partition; Ri represents the estimated resource demand mark in the i-th power grid partition, and the estimated resource demand Ri=a1×Li+a2×Ni+a3×Ri; wherein a1, a2 and a3 are all preset proportional coefficients; wherein Li represents the real-time power load mark of the i-th power grid partition; Ni represents the number mark of the key power facilities in the i-th power grid partition; FPi represents the failure probability mark of the i-th power grid partition estimated by the partition risk assessment model; Bi represents the resource demand ratio mark in the i-th power grid partition.

[0097] The grid loss index Wherein, a4 and a5 are preset proportional coefficients, and Ltotal is the total load of all grid partitions.

[0098] In an optional embodiment of the present application, the minimization target optimization function M is used as the optimization target, and the first constraint condition and the second constraint condition are used as the constraint condition set to form a resource allocation optimization model:

[0099] The expression of the objective optimization function M of the resource allocation optimization model is: M = ∑ i (Si×(1-xi)+Pi×xi); where Pi is the cost of allocating emergency resources to the i-th grid partition; xi represents the allocation ratio variable set for each grid partition; the total amount of emergency resources is 1.

[0100] It can be seen that in this application, first, by identifying and analyzing the communication service type of each power grid communication node, the communication criticality of each power grid communication node can be evaluated, and by measuring the urgency of each node, the power grid intelligent control system can quickly identify the power grid communication node that most needs to be restored in an emergency scenario, reduce downtime, and ensure the stability of power grid communication; then, by combining the topological urgency and communication criticality to quantify the communication recovery priority of the power grid communication node, the recovery priority of the power grid communication base station is calculated based on the communication recovery priority of the power grid communication node, which can ensure that the most critical power grid communication base station can be restored at the first time during the recovery process, ensuring the stability and reliability of the power grid operation. In the emergency response process, by generating a communication recovery sequence, the intelligent control system can start the recovery operation immediately after a fault occurs, improve the real-time and accuracy of decision-making, and ensure the rapidity and accuracy of the intelligent grid recovery; finally, the emergency repair dispatch of the power grid communication base station is carried out according to the communication recovery sequence, which can ensure that in the power grid failure scenario, the communication function is restored in the optimal order and resource allocation, reduce the impact of the power grid failure, and improve the speed and efficiency of the emergency response, thereby accelerating the comprehensive recovery and stable operation of the power grid.

[0101] In summary, the technical solution adopted in this application can efficiently and accurately control communication restoration decisions in emergency scenarios to improve the real-time decision-making of the power grid intelligent control system.

[0102] Embodiment 2: This application provides an intelligent control system for power grid in emergency scenarios, referring to Figure 4 As shown, this figure is a schematic diagram of a control system according to this embodiment of the present application, and the control system includes:

[0103] The power grid monitoring module 100 is used to monitor the fault area in the smart grid in an emergency scenario and build a power communication network model of the fault area;

[0104] The node measurement module 200 is used to obtain the communication service type of each power grid communication node in the power communication network model, determine the communication criticality of each power grid communication node according to the corresponding communication service type, measure the urgency of each power grid communication node in the power communication network model, and obtain the topological urgency of each power grid communication node;

[0105] A recovery order determination module 300 is used to determine the communication recovery priority coefficient of each power grid communication node in the power communication network model according to the corresponding topological urgency and the corresponding communication criticality, obtain the deployment information of the power grid communication base station in the fault area, and generate the communication recovery order for the power grid communication base station in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients;

[0106] The emergency control module 400 is used to perform emergency dispatching for repairing the power grid communication base stations in the fault area according to the communication recovery sequence.

[0107] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent control of power grid in emergency scenarios, characterized in that: The control method comprises the following steps: Monitoring fault areas in the smart grid in emergency scenarios and building a power communication network model of the fault areas; Acquire the communication service type of each power grid communication node in the power communication network model, determine the communication criticality of each power grid communication node according to the corresponding communication service type, measure the urgency of each power grid communication node in the power communication network model, and obtain the topological urgency of each power grid communication node; Determine the communication recovery priority coefficient of each power grid communication node in the power communication network model by the corresponding topological urgency and the corresponding communication criticality, obtain the deployment information of the power grid communication base station in the fault area, and generate the communication recovery order for the power grid communication base stations in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients; Emergency dispatch is performed for repair of power grid communication base stations in the fault area according to the communication recovery sequence.

2. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: Monitoring fault areas in smart grids in emergency scenarios through inspection drones.

3. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: Constructing the power communication network model of the fault area is to model the coupling relationship between the distribution network and the communication network in the fault area, and then obtain the power communication network model of the fault area.

4. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: Determining the communication criticality of each power grid communication node according to the corresponding communication service type specifically includes: Obtain the weights of various communication service types in smart grid; For each power grid communication node in the power communication network model, obtaining a communication service type of the power grid communication node; The communication criticality of the power grid communication node is determined according to the communication service type and its corresponding weight, and then the communication criticality of each power grid communication node is obtained.

5. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: The urgency of each power grid communication node in the power communication network model is measured respectively, and the topological urgency of each power grid communication node is obtained, which specifically includes: For each power grid communication node in the power communication network model, importance measurement is performed on the power grid communication node to obtain the node importance of the power grid communication node; Determining a network load factor of the power grid communication node; Determining the topological importance of the power grid communication node by means of the node importance and the network load factor; Determining a node criticality of the power grid communication node; The topology importance and the node criticality are used to determine the topology urgency of the power grid communication node, thereby obtaining the topology urgency of each power grid communication node.

6. The method for intelligent control of power grid in emergency scenarios according to claim 5, characterized in that: Measuring the importance of the power grid communication node to obtain the node importance of the power grid communication node specifically includes: Obtaining the node degree and node betweenness of the power grid communication node in the power communication network model; The node importance of the power grid communication node is determined according to the node degree and the node betweenness.

7. The method for intelligent control of power grid in emergency scenarios according to claim 5, characterized in that: Determining the network load factor of the power grid communication node is to use the ratio of the total node load of the power grid communication node after a fault occurs to the total node load before the fault occurs as the network load factor of the power grid communication node.

8. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: Generating a communication restoration order for the power grid communication base stations in the fault area based on the deployment information of the power grid communication base stations and all communication restoration priority coefficients specifically includes: Extracting the deployment location and coverage of each power grid communication base station from the deployment information of the power grid communication base station; For each power grid communication base station, determining all power grid communication nodes within the power grid communication base station according to the deployment location and coverage of the power grid communication base station; Determining the restoration priority of the power grid communication base station by the communication restoration priority coefficient of each power grid communication node in the power grid communication base station, and then obtaining the restoration priority of each power grid communication base station; The power grid communication base stations are sorted based on all restoration priorities to obtain a communication restoration order for the power grid communication base stations in the fault area.

9. The method for intelligent control of power grid in emergency scenarios according to claim 1, characterized in that: The emergency dispatching of the repair of the power grid communication base stations in the fault area according to the communication recovery sequence is to perform emergency dispatching of the repair of the power grid communication base stations in the fault area according to the arrangement order of the power grid communication base stations in the communication recovery sequence.

10. An intelligent control system for a power grid in an emergency scenario, used to execute an intelligent control method for a power grid in an emergency scenario as claimed in any one of claims 1 to 9, characterized in that: The control system comprises: A power grid monitoring module, used to monitor the fault area in the smart grid in an emergency scenario and build a power communication network model of the fault area; A node measurement module is used to obtain the communication service type of each power grid communication node in the power communication network model, determine the communication criticality of each power grid communication node according to the corresponding communication service type, measure the urgency of each power grid communication node in the power communication network model, and obtain the topological urgency of each power grid communication node; A recovery order determination module is used to determine the communication recovery priority coefficient of each power grid communication node in the power communication network model according to the corresponding topological urgency and the corresponding communication criticality, obtain the deployment information of the power grid communication base station in the fault area, and generate the communication recovery order for the power grid communication base station in the fault area based on the deployment information of the power grid communication base station and all the communication recovery priority coefficients; The emergency control module is used to perform emergency dispatching for the repair of the power grid communication base stations in the fault area according to the communication recovery sequence.

Images