Low-voltage distribution network fault positioning device optimal configuration method based on participation degree

Abstract

According to the participation degree-based optimal configuration method for the low-voltage power distribution network fault positioning device, original structure information of a low-voltage power distribution network is stored in a power distribution network switch tree topology manner by adopting a graph theory method, and fault current information is monitored by utilizing a fault monitoring device mounted at a line section switch or an interconnection switch; and counting the participation frequency of each feeder head end node when each feeder section has a fault, and calculating the participation degree of each head end node in sequence. And designing an optimization model objective function which comprehensively considers the monitoring participation degree of the whole fault monitoring system and the configuration uniformity degree of the monitoring device, considering economic constraint conditions, and adopting a particle swarm optimization algorithm to solve the optimal configuration model of the fault positioning device. The method can effectively guarantee the fault positioning accuracy of the low-voltage active power distribution network, and improves the operation reliability and economy of the low-voltage power distribution network.

Description

technical field [0001] The invention relates to an optimal configuration method of a low-voltage distribution network fault location device, in particular to a participation-based optimal configuration method of a low-voltage distribution network fault location device. Background technique [0002] With the increasing requirements for distribution network security and power supply reliability, fast fault location, isolation and repair of distribution network become very important. Feeder Terminal Unit (FTU) is an important part of distribution network automation, including "two remotes" (remote signaling, telemetry) FTU and "three remotes" (remote signaling, telemetry and remote control) FTU, they can The information after the failure is measured in real time and transmitted to the control center. After the central decision-making, remote commands are sent for remote control or manual repair, so as to realize rapid isolation and repair of distribution network faults. Obvio...

AI Technical Summary

Problems solved by technology

Artificial intelligence algorithms mainly include genetic algorithm, neural network algorithm, etc. This algorithm has good fault tolerance, but it has a large amount of calculation and the positioning speed is not fast enough

The main method used in the graph theory method is the matrix method, which has a small amount of calculation and fast positioning speed, but the fault tolerance is not high enough.

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