Power distribution control method and system based on urban network

Abstract

The invention discloses a power distribution control method and system based on an urban network, and relates to the technical field of power distribution control, and the method comprises the steps: monitoring the operation parameters of a power grid in a governed power distribution region in real time at an edge calculation terminal disposed at the edge side of a power distribution network; and when it is monitored that the power grid operation parameters are abnormal, determining fault occurrence and a specific position of a fault section based on a preset fault diagnosis model. According to the method, the edge computing terminal is deployed on the edge side of the power distribution network, real-time monitoring of the operation parameters of the power grid in the jurisdiction area is achieved, when the parameters are abnormal, the fault section can be rapidly positioned by means of the preset fault diagnosis model, the fault response speed is greatly improved, and the problem that decision-making time is long in a traditional centralized master station mode is solved. The edge computing terminal can directly generate an instruction isolation fault, and the fault range is prevented from being expanded.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution control, in particular to a power distribution control method and system based on urban network. BACKGROUND

[0002] In the traditional power distribution network operation system, when a fault occurs, the fault diagnosis and isolation recovery process is highly dependent on the centralized master station. In this mode, the communication link is long, the fault site signal is transmitted to the master station, and then the master station issues a decision instruction. The whole process takes a long time, and the decision time usually reaches minutes. More troublesome is that the recovery scheme is usually pre-set, which is difficult to match the real-time topology structure and load conditions of the power grid. Once a fault occurs, the power outage time is forced to be prolonged, and the influence range spreads in a large area, causing many inconveniences and losses to urban production and life. With the rapid development of cities and the continuous rise of electricity demand, the disadvantages of the traditional mode are becoming more and more prominent, and urgent reform is needed. The decision-making ability is sinking to the edge side of the power grid, and the edge computing is used to realize "on-site" rapid decision-making, which changes from "passive response" to "active self-healing", which becomes the key improvement direction in the field of power distribution. SUMMARY

[0003] In view of the defects of the prior art, the present application provides a power distribution control method and system based on urban network, which solves the problem of long time consumption of fault diagnosis and isolation recovery process caused by the dependence on centralized master station in the traditional power distribution network operation system in the prior art, and the problem that the recovery scheme is difficult to match the real-time topology structure and load conditions of the power grid, thereby causing long power outage time and large influence range.

[0004] To achieve the above purpose, the present application is realized by the following technical scheme: the present application provides a power distribution control method based on urban network, which comprises: deploying an edge computing terminal at the edge side of the power distribution network, and monitoring the power grid operation parameters in the jurisdictional power distribution area in real time; When the power grid operation parameters are monitored to be abnormal, based on a pre-set fault diagnosis model, the specific position of the fault occurrence and the fault section are determined; The edge computing terminal generates and issues a first control instruction to the power distribution switch device at the boundary of the fault section based on the specific position of the fault section, to perform fault isolation operation, cut off the fault section from the power distribution network, and form a non-fault area; After performing the fault isolation operation, the edge computing terminal acquires the real-time operation state of the non-fault area, which includes the current power grid topology information and the current load information of the non-fault area; generate a dynamic restoration strategy aiming at maximizing the power supply range and maintaining the stability of the power grid based on the current power grid topology information and current load information of the non-fault area; generate and issue a second control instruction to the to-be-operated power distribution switch device in the non-fault area based on the dynamic restoration strategy to perform a load transfer operation to restore power supply to the power loss part in the non-fault area.

[0005] Further, the obtaining the real-time running state of the non-fault area comprises: The edge computing terminal broadcasts a state query request to the topologically adjacent edge computing terminals within its communication range; receiving the topological connection relationship and load state data of the region under the jurisdiction of the adjacent edge computing terminal from the feedback of the adjacent edge computing terminal; Integrate the topological and load information monitored by the edge computing terminal itself and the topological connection relationship and load state data received from the feedback of the adjacent edge computing terminal to construct a global real-time running state view of the non-fault area.

[0006] Further, the generating a dynamic restoration strategy comprises: Based on the current power grid topology information of the non-fault area, a graph theory model of the non-fault area is constructed, wherein the nodes represent power distribution nodes and the edges represent feeder lines; Identify all available power supply paths in the graph theory model and calculate the margin of each available power supply path, which is the difference between the rated capacity of each feeder line and the current load, or the ratio of the difference to the rated capacity; When calculating the power supply path margin, the voltage fluctuation threshold and the frequency stability threshold are simultaneously taken as constraint conditions to ensure that the selected path meets the requirements of stable operation of the power grid; Iterate through the available power supply paths to maximize the primary optimization target of the power loss load restoration amount and minimize the secondary optimization target of the total network loss, and use a preset intelligent optimization algorithm to solve and determine the optimal one or more power supply path switching combinations to form the dynamic restoration strategy.

[0007] Further, the intelligent optimization algorithm is a particle swarm optimization algorithm or a genetic algorithm; The dynamic restoration strategy includes a time-sequenced power distribution switch device action sequence, which clearly defines the switch identifier, target state, and action execution time of each to-be-operated power distribution switch device.

[0008] Further, the method further comprises: After performing the load transfer operation, continuously monitor the power grid running parameters of the power supply restoration area; If the power grid operating parameters are detected to deviate from the preset stability threshold, the steps of obtaining the real-time operating status of the non-faulty area, generating a dynamic recovery strategy, and executing load transfer are re-executed, and the dynamic recovery strategy is corrected in a closed loop.

[0009] The present invention also provides a power distribution control system based on an urban network, the system comprising: Multiple edge computing terminals are deployed on the edge side of the power distribution network, and each edge computing terminal is configured to control the power distribution area under its jurisdiction; Multiple power distribution switchgear, which are communicatively connected to the edge computing terminal, are distributed on the feeder lines of the power distribution network and are used to perform disconnection or closure operations according to control commands; The edge computing terminal is used in any of the above-described power distribution control methods based on urban networks.

[0010] Furthermore, the edge computing terminal includes: The data acquisition unit is used to collect power grid operation parameters such as voltage, current and switch status in the power distribution area under the jurisdiction of the edge computing terminal in real time; The fault diagnosis unit, connected to the data acquisition unit, is used to determine whether a fault has occurred and locate the fault section based on the acquired power grid operating parameters. The strategy generation unit is used to obtain the real-time operating status of the non-faulty area and generate a dynamic recovery strategy after the fault diagnosis unit confirms and isolates the fault. The control command unit is used to generate and send control commands to the target power distribution switchgear based on the isolation requirements of the fault diagnosis unit and the dynamic recovery strategy generated by the strategy generation unit. The communication unit is used to enable information interaction between the edge computing terminal and the power distribution switchgear, as well as with other edge computing terminals.

[0011] Furthermore, the strategy generation unit further includes: The topology modeling module is used to construct a graph theory model of the non-faulty region based on the real-time operating status. The path search module is used to identify all available power supply paths in the graph theory model and calculate the power supply margin for each path. The optimization solution module is used to run a preset intelligent optimization algorithm to calculate the optimal load transfer path combination based on the power supply margin and the preset optimization target, so as to form the dynamic recovery strategy.

[0012] Furthermore, the system also includes: A central master station is communicatively connected to the multiple edge computing terminals; The central master station is used to receive fault handling logs, recovery strategy execution results and real-time operation data reported by each edge computing terminal, and to perform global status monitoring and historical data archiving of the distribution network. The central master station does not participate in the real-time fault isolation and recovery decision-making process.

[0013] Furthermore, the communication unit uses 5G-based wireless communication technology or a dedicated power communication network based on optical fiber to achieve data transmission. Beneficial effects

[0014] This invention achieves real-time monitoring of power grid operating parameters in the affected area by deploying edge computing terminals at the edge of the distribution network. When parameters are abnormal, it can quickly locate faulty sections based on a preset fault diagnosis model, significantly improving fault response speed and solving the problem of time-consuming decision-making in the traditional centralized master station mode. The edge computing terminals can directly generate commands to isolate faults, preventing the fault range from expanding. After fault isolation, by interacting with adjacent edge computing terminals, a global real-time operating status view of the non-faulty area is constructed, providing comprehensive data support for subsequent recovery strategies. Based on this, the generated dynamic recovery strategy aims to maximize the restored power supply range and maintain grid stability. Combining graph theory models and intelligent optimization algorithms, it selects the optimal power supply path, balancing maximizing load recovery from power outages with minimizing network losses. The strategy includes a clear sequence of switching actions to ensure accurate and efficient load transfer. Simultaneously, through continuous monitoring and closed-loop correction mechanisms, it can promptly respond to grid parameter fluctuations, ensuring power supply stability. Although the central master station does not participate in real-time decision-making, it achieves global monitoring and data archiving, facilitating subsequent analysis and optimization. The communication unit adopts 5G or fiber optic technology to ensure efficient and reliable information transmission, thereby improving the self-healing capability and power supply reliability of the power distribution network and reducing power outage time and impact range. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 This is a system structure block diagram of the present invention. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0017] This invention provides a power distribution control method and system based on urban networks, as detailed below. Figure 1 and attached Figure 2The specific embodiments of the present invention will be described in detail below.

[0018] The power distribution control method in this embodiment of the invention begins with real-time monitoring of power grid operating parameters, specifically accomplished by the data acquisition unit of the edge computing terminal. The data acquisition unit is deployed at the edge of the power distribution network and connects to power grid nodes within its jurisdiction via sensors or smart meters to collect power grid operating parameters such as voltage, current, and switch status. These parameters are transmitted to the fault diagnosis unit for analysis and processing via a communication unit. The fault diagnosis unit determines whether a fault has occurred based on a preset fault diagnosis model and locates the faulty section. For example, when the current value of a feeder line abnormally increases and exceeds a set threshold, the fault diagnosis unit determines that the line has a short-circuit fault and determines the specific location of the faulty section based on the topology.

[0019] After confirming the fault, the control command unit of the edge computing terminal generates a first control command and sends it to the power distribution switchgear at the boundary of the faulty section. The power distribution switchgear performs a disconnection operation to isolate the faulty section from the power distribution network, thus creating a non-faulty area. This process relies on an efficient communication link between the communication unit and the power distribution switchgear. The communication unit uses 5G-based wireless communication technology or fiber optic communication networks to achieve data transmission, ensuring that the control command can be sent to the target device quickly and accurately. After receiving the first control command, the power distribution switchgear performs a disconnection operation to isolate the faulty section.

[0020] After completing the fault isolation operation, the edge computing terminal needs to obtain the real-time operating status of the non-faulty area. This process is achieved by the communication unit broadcasting a status query request to adjacent edge computing terminals within its communication range. Upon receiving the status query request, the adjacent edge computing terminals feed back the topology connectivity and load status data of their respective areas to the initiating edge computing terminal. The edge computing terminal integrates its own monitored topology and load information with the data received from adjacent edge computing terminals to construct a global real-time operating status view of the non-faulty area. For example, in a specific scenario, an edge computing terminal might detect a feeder line with a load rate of 60% within its area, while data from adjacent edge computing terminals indicates that another feeder line has a load rate of 40%. This information together constitutes the global real-time operating status view of the non-faulty area.

[0021] Based on a global real-time operational status view of the non-faulty region, the strategy generation unit of the edge computing terminal generates dynamic recovery strategies. The strategy generation unit first constructs a graph theory model of the non-faulty region using its internal topology modeling module, where nodes represent distribution nodes and edges represent feeder lines. The path search module identifies all available power supply paths in the graph theory model and calculates the margin for each path; the margin calculation formula is: absolute margin. ,in The rated capacity of the feeder line, Current load; relative margin For example, if a feeder line has a rated capacity of 100A and a current load of 70A, then the line has a margin of 30A, or a margin ratio of 30%. When calculating the power supply path margin, the path search module incorporates both voltage fluctuation threshold and frequency stability threshold as constraints to ensure that the selected path meets the requirements for stable grid operation.

[0022] The optimization solution module runs preset intelligent optimization algorithms, such as particle swarm optimization or genetic algorithm, to calculate the optimal load transfer path combination based on power supply margin and preset optimization objectives.

[0023] If the particle swarm optimization algorithm is used, its core iterative formula is: Speed ​​updates: ; Location update: ; in, For the first Sub-particles speed, For the first Sub-particles The position represents the combination of power supply paths; For inertial weights, , The learning factor is usually set to 2. , A random number in the range [0,1]. For particles The best historical position This is the globally optimal position.

[0024] If a genetic algorithm is used, its core steps include the following formula: Fitness function: ; in, For power outage load recovery rate, To restore the lost power load, Total power loss load; To optimize network loss rate, The total network loss is [amount]. This represents the total network load. Weighting coefficients ; when The smaller, The closer it is to 1, the better the network loss optimization effect, which meets the optimization goal of minimizing the network loss of the whole network.

[0025] The selection operator uses a roulette wheel selection: the probability of an individual being selected. ,in For individuals The fitness of; The crossover operator uses single-point crossover: for two chromosomes and Randomly select intersection point k to generate offspring. , Mutation operator: Randomly select gene locus m and reverse its value, such as changing "closed" to "segmented". The optimization objective is to maximize the amount of power loss recovery, with minimizing the overall network loss as a secondary objective. The specific objective function is as follows: ;in, For power outage load recovery rate, To restore the lost power load, Total power loss load; To optimize network loss rate, The total network loss is [amount]. This represents the total network load. Weighting coefficients Prioritize ensuring the recovery rate. Ultimately, the dynamic recovery strategy arranges the action sequence of the power distribution switchgear in chronological order. The action sequence clearly defines the switch identifier, target state, and action execution time of each power distribution switchgear to be operated.

[0026] The control command unit generates a second control command based on the generated dynamic recovery strategy and issues it to the switchgear to be operated in the non-faulty area. Upon receiving the second control command, the switchgear sequentially performs closing or opening operations according to the action sequence to achieve load transfer and restore power supply to the de-energized parts in the non-faulty area. For example, in a specific scenario, the control command unit might generate the following action sequence: first, close the switchgear identified as SW1; then, open the switchgear identified as SW2; and finally, close the switchgear identified as SW3. Each action is accompanied by a clear target state and execution time to ensure the orderly execution of the operation.

[0027] After performing load transfer operations, the edge computing terminal continuously monitors the power grid operating parameters in the restored power supply area. If the monitored power grid operating parameters deviate from the preset stability threshold, such as voltage fluctuations exceeding the allowable range or frequency instability, the real-time operating status of the non-faulty area is reacquired, a dynamic recovery strategy is generated, and the load transfer operation is executed, with closed-loop correction of the dynamic recovery strategy. This process ensures that the system can flexibly adjust the recovery strategy according to the real-time changes in the power grid topology and load conditions, avoiding the shortcomings of pre-set schemes that are difficult to match with actual operating conditions.

[0028] At the system level, the central master station communicates with multiple edge computing terminals to receive fault handling logs, recovery strategy execution results, and real-time operational data reported by each edge computing terminal, and to perform global status monitoring and historical data archiving of the distribution network. The central master station does not participate in the real-time fault isolation and recovery decision-making process, but rather plays a supporting role in the overall system operation. The communication unit establishes an efficient and reliable data transmission channel between the central master station and the edge computing terminals, ensuring the real-time nature and accuracy of information exchange.

[0029] As can be seen from the above embodiments, the power distribution control method and system based on urban networks provided by this invention achieves efficient management of the power distribution network. The edge computing terminal monitors power grid operating parameters in real time through the data acquisition unit, quickly locates faulty sections through the fault diagnosis unit, and issues a first control command through the control command unit to achieve fault isolation. Based on this, the strategy generation unit generates a dynamic recovery strategy by combining the real-time operating status of non-faulty areas, and the control command unit issues a second control command to complete the load transfer operation. Throughout the process, the communication unit ensures the efficiency and reliability of data transmission, providing comprehensive operational data support to the central master station.

[0030] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0031] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A power distribution control method based on an urban network, characterized in that, The method includes: At the edge computing terminals deployed on the edge side of the distribution network, the operating parameters of the power grid within the jurisdiction of the distribution area are monitored in real time; When abnormalities are detected in the power grid operating parameters, the specific location of the fault and the fault section is determined based on a preset fault diagnosis model. Based on the specific location of the faulty section, the edge computing terminal generates and sends a first control command to the power distribution switchgear at the boundary of the faulty section to perform a fault isolation operation, thereby cutting the faulty section out of the power distribution network and forming a non-faulty area. After performing the fault isolation operation, the edge computing terminal obtains the real-time operating status of the non-faulty area, which includes the current power grid topology information and current load information of the non-faulty area. Based on the current power grid topology and load information of the non-faulty area, a dynamic recovery strategy is generated with the goal of maximizing the range of power supply restoration and maintaining power grid stability. Based on the dynamic recovery strategy, a second control command is generated and sent to the power distribution switchgear to be operated in the non-faulty area to perform load transfer operation and restore power supply to the power-loss part in the non-faulty area.

2. The power distribution control method based on urban networks according to claim 1, characterized in that, The step of obtaining the real-time operating status of the non-faulty area includes: The edge computing terminal broadcasts a status query request to topologically adjacent edge computing terminals within its communication range. Receive topology connection relationships and load status data of the areas under the jurisdiction of the adjacent edge computing terminals from the feedback of the adjacent edge computing terminals; By integrating the topology and load information monitored by the edge computing terminal itself, as well as the topology connection relationship and load status data received from the adjacent edge computing terminals, a global real-time operating status view of the non-faulty area is constructed.

3. The power distribution control method based on urban networks according to claim 1 or 2, characterized in that, The generation of the dynamic recovery strategy includes: Based on the current power grid topology information of the non-faulty region, a graph theory model of the non-faulty region is constructed, where nodes represent distribution nodes and edges represent feeder lines. Identify all available power supply paths in the graph theory model and calculate the margin for each available power supply path, which is the difference between the rated capacity of each feeder line and the current load, or the ratio of the difference to the rated capacity. When calculating the power supply path margin, voltage fluctuation threshold and frequency stability threshold are also included as constraints to ensure that the selected path meets the requirements for stable operation of the power grid. The available power supply paths are traversed, with maximizing the recovery of lost loads as the primary optimization objective and minimizing network losses as the secondary optimization objective. A preset intelligent optimization algorithm is used to solve the problem and determine the optimal combination of one or more power supply path switching combinations, thus forming the dynamic recovery strategy.

4. The power distribution control method based on urban networks according to claim 3, characterized in that, The intelligent optimization algorithm is either a particle swarm optimization algorithm or a genetic algorithm; The dynamic recovery strategy includes a sequence of actions for power distribution switchgear arranged in time sequence. The action sequence explicitly defines the switch identifier, target state, and action execution time of each power distribution switchgear to be operated.

5. The power distribution control method based on urban networks according to claim 1, characterized in that, The method further includes: After performing the load transfer operation, the power grid operation parameters of the restored power supply area are continuously monitored; If the power grid operating parameters are detected to deviate from the preset stability threshold, the steps of obtaining the real-time operating status of the non-faulty area, generating a dynamic recovery strategy, and executing load transfer are re-executed, and the dynamic recovery strategy is corrected in a closed loop.

6. A power distribution control system based on an urban network, characterized in that, The system includes: Multiple edge computing terminals are deployed on the edge side of the power distribution network, and each edge computing terminal is configured to control the power distribution area under its jurisdiction; Multiple power distribution switchgear, which are communicatively connected to the edge computing terminal, are distributed on the feeder lines of the power distribution network and are used to perform disconnection or closure operations according to control commands; The edge computing terminal is used to execute the power distribution control method based on the urban network as described in any one of claims 1 to 5.

7. The power distribution control system based on a city network according to claim 6, characterized in that, The edge computing terminal includes: The data acquisition unit is used to collect power grid operation parameters such as voltage, current and switch status in the power distribution area under the jurisdiction of the edge computing terminal in real time; The fault diagnosis unit, connected to the data acquisition unit, is used to determine whether a fault has occurred and locate the fault section based on the acquired power grid operating parameters. The strategy generation unit is used to obtain the real-time operating status of the non-faulty area and generate a dynamic recovery strategy after the fault diagnosis unit confirms and isolates the fault. The control command unit is used to generate and send control commands to the target power distribution switchgear based on the isolation requirements of the fault diagnosis unit and the dynamic recovery strategy generated by the strategy generation unit. The communication unit is used to enable information interaction between the edge computing terminal and the power distribution switchgear, as well as with other edge computing terminals.

8. The power distribution control system based on a city network according to claim 7, characterized in that, The strategy generation unit further includes: The topology modeling module is used to construct a graph theory model of the non-faulty region based on the real-time operating status. The path search module is used to identify all available power supply paths in the graph theory model and calculate the power supply margin for each path. The optimization solution module is used to run a preset intelligent optimization algorithm to calculate the optimal load transfer path combination based on the power supply margin and the preset optimization target, so as to form the dynamic recovery strategy.

9. The power distribution control system based on a city network according to claim 6, characterized in that, The system also includes: A central master station is communicatively connected to the multiple edge computing terminals; The central master station is used to receive fault handling logs, recovery strategy execution results and real-time operation data reported by each edge computing terminal, and to perform global status monitoring and historical data archiving of the distribution network. The central master station does not participate in the real-time fault isolation and recovery decision-making process.

10. The power distribution control system based on a city network according to claim 7, characterized in that, The communication unit uses 5G-based wireless communication technology or a dedicated power communication network based on optical fiber to achieve data transmission.

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