A power distribution network fault diagnosis system based on topology knowledge and a method

Abstract

The invention relates to a power distribution network fault diagnosis system based on topology knowledge and a method. The system comprises a resource layer, a knowledge layer and a diagnosis layer. The resource layer comprises a fault oscilloscope, a monitoring terminal, a distribution equipment machine account, a topology file and a database. The monitoring terminal is used for collecting switch state information after a fault. The fault oscilloscope is used for obtaining waveforms after the fault. The topology file is used for providing an electrical wiring diagram of a whole electrical network. The distribution equipment machine account is used for obtaining operation conditions in the fault of power distribution equipment. The knowledge level comprises a knowledge base providing information for the diagnosis layer. The diagnosis layer comprises a fault diagnosis server. The fault diagnosis server is provided with a fault diagnosis program module. According to the method, topology knowledge formation and fault diagnosis are realized through the above system. The system and the method can carry out fault analysis after the fault and provide references for operation personnel, so that manpower, financial resources and time are saved. In addition, the system is highly efficient and rapid in operation, and the usage effect is good.

Description

technical field [0001] The invention relates to the technical field of distribution network fault diagnosis, in particular to a distribution network fault diagnosis system and method based on topology knowledge and a topology search method. Background technique [0002] The traditional distribution network fault diagnosis is based on fault information such as measurement and control, protection, and wave recording, and adopts a certain diagnostic mechanism to determine the fault feeder and fault location, isolate the fault area, minimize the power outage area and shorten the power outage time. The power quality of the power grid is analyzed, excluding the accident analysis function after the failure, such as the analysis of the cause of the accident (human factors, natural factors, equipment failure, etc.), the scope of the accident, and the power outage loss caused by the accident. This requires manual inspection of the accident site, investigation and statistics to give a ...

AI Technical Summary

Problems solved by technology

The traditional power grid topology representation methods include matrix method and adjacency table method, etc. Matrix-based power grid topology analysis method needs to identify the sub-electrical islands formed by the entire distribution network after the circuit breaker and other switching devices trip. Different branch linked lists need to be constructed for each node of the power grid to form a node tree. The entire search process requires three types of data structures in the form of matrix, electrical island, and linked list. The search process is cumbersome and inefficient.

However, the traditional adjacency table method needs to input the node-branch information of the entire power grid when establishing the initial node-branch relationship table and branch-access flag-node relationship table, so the workload is very huge.

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