Distributed generation-containing distribution network fault section positioning method

Abstract

The invention discloses a distributed generation-containing distribution network fault section positioning method, which belongs to the technical field of the power grid and aims at adopting a cuckoosearch algorithm with an adaptive step size to position a distributed generation-containing distribution network fault. The method comprises steps: a distribution network fault positioning mathematical model is built, a function which can reflect connection between the current running state of a line and the state of a distribution switch is built; in order to reflect errors between an actual fault and a hypothetical fault, an evaluation function is built; the cuckoo search algorithm is introduced, adaptive step size adjustment is carried out on the cuckoo search algorithm, simulation verification is carried out on the algorithm put forward in the invention through a typical example, and results of other algorithms are compared. Through building the improved switching function and the evaluation function, a cuckoo search algorithm-based fault positioning new method is put forward. In view of defects of slow later convergence speed and low solving precision of the cuckoo algorithm, an adaptive step size improvement method is introduced, the search speed of the cuckoo search algorithm is quickened, and the convergence precision is improved.

Description

technical field [0001] The invention belongs to the technical field of power grids, and in particular relates to fault location technology for medium and low voltage power distribution networks. Background technique [0002] As a large number of distributed power sources are connected to the distribution network, the traditional radial network has become a multi-power network with small and medium-sized power sources. Many fault location algorithms suitable for single power distribution networks cannot meet the needs of new distribution networks. This brings certain challenges to the fault location of distribution network. [0003] At present, distribution network fault location methods based on Feeder Terminal Unit (FTU) can be divided into two categories, direct method and artificial intelligence algorithm. The direct method generally refers to the matrix algorithm. This algorithm is simple and intuitive, and the calculation speed is fast, but the fault tolerance is poor....

AI Technical Summary

Problems solved by technology

The direct method generally refers to the matrix algorithm. This algorithm is simple and intuitive, and the calculation speed is fast, but the fault tolerance is poor. Since FTUs are mostly installed outdoors in harsh natural environments, the uploaded information is prone to loss or distortion, so the actual The application effect is not ideal

The artificial intelligence algorithm is to transform the distribution network fault section location problem into a 0-1 integer programming problem. By establishing a mathematical optimization model for distribution network fault location, the binary algorithm is used to find the optimal solution in the discrete domain, such as genetic algorithm, Particle swarm algorithm, ant colony algorithm, etc. These algorithms have the advantage of good fault tolerance, but with the increase of distributed power access and the gradual complexity of the distribution network structure, these algorithms have low convergence speed and low accuracy. high problem, the algorithm needs to be further improved

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