Active power distribution network fault positioning method and system based on quantum immune optimization algorithm, storage medium and computer equipment

Abstract

The invention belongs to the technical field of multi-algorithm comprehensive active power distribution network fault positioning, and particularly relates to an active power distribution network fault positioning method and system based on a quantum immune optimization algorithm, a storage medium and computer equipment. The method comprises the steps of building a fitness function model with fault-tolerant capability, performing hierarchical dimensionality reduction on a power distribution network, performing quantum antibody encoding, performing affinity evaluation, performing quantum bit cloning and amplification, performing mutation operation, performing calculation simulation verification and the like. Compared with other fault positioning methods, the method improves the defect thata conventional intelligent algorithm is liable to converge to local optimum, improves the fault positioning efficiency, can tolerate the fault information distortion of a plurality of nodes of the power distribution network, and has obvious advantages for an active complex power distribution network; the fault positioning method provided by the invention can provide reference for solving the problems of high complexity and poor fault tolerance of a high-performance computing system during fault positioning, and is beneficial to fault positioning and troubleshooting in actual engineering.

Description

technical field [0001] The invention belongs to the technical field of comprehensive multi-algorithm active distribution network fault location, and more specifically relates to a quantum immune optimization algorithm-based active distribution network fault location method, system, storage medium and computer equipment. Background technique [0002] Rapid and accurate location of distribution network faults is conducive to timely isolation of faults and restoration of power supply in non-faulty areas, which is of great significance to the safe and reliable operation of distribution network. As a large number of distributed generation (distributed generation, DG) is connected to the distribution network, the initiative of the distribution network is increased, which leads to a large difference between its fault characteristics and the traditional distribution network, making it difficult to guarantee the traditional fault location and identification. reliability and sensitivi...

AI Technical Summary

Problems solved by technology

At present, there is a matrix algorithm for indirect fault location based on FTU uploaded node information, which is simple in calculation and fast in fault location; Large, the efficiency of fault location is low, the location is greatly affected by the distortion of fault information, and it is difficult to be widely used

In the intelligent algorithm direct fault location, the multi-population genetic algorithm has a strong search ability in the distribution network with DG multi-branch feeders; but its cross-variation has a certain blindness, which makes the algorithm easy to fall into local optimum during iterative optimization. The solution corresponding to the minimum value of the fitness function is wrongly identified as the fault section. For example, Chinese patent CN110046774A, the publication date is 2019.07.23, which discloses a distribution network fault location method, device and related equipment

Someone proposed a fault location method based on the immune algorithm, by increasing the sample memory unit to ensure the diversity of antibody evolution, thereby improving the premature convergence of the genetic algorithm; but the search and optimization speed of the immune algorithm is limited by the high Node dimension, resulting in a long time-consuming positioning

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