Multi-population genetic algorithm-based power distribution network fault section location algorithm

Abstract

The invention discloses a multi-population genetic algorithm-based power distribution network fault section location algorithm. The algorithm includes the following steps that: 1) the fault current ofa power distribution network containing distributed power sources is coded with binary codes; 2) on the basis of satisfying the requirements of the multi-power source network, a distributed power source switching coefficient is introduced to represent power source switching, the application of the algorithm to a complex power distribution network is considered, a corresponding switching functionis established; 3) the construction of a fitness function is completed for the fault section location problem of the power distribution network according to a fault current code and the switching function of the power distribution network containing the distributed power sources; and 4) a multi-population genetic algorithm (MPGA) is implemented, so that population initialization, control parametersetting, immigration operator, manual selection operator and convergence condition determination are completed. With the algorithm of the invention adopted, the fault section of the power distribution network can be located accurately. The algorithm is suitable for a complex power distribution network containing distributed power sources, and has certain effectiveness and fault tolerance.

Description

technical field [0001] The invention belongs to the field of pattern recognition, in particular to a method for locating a distribution network fault section based on a multi-population genetic algorithm. Background technique [0002] Quickly locating the fault section is the key to timely isolate the fault and restore the power supply in the non-fault area when a fault occurs in the distribution network. However, traditional fault location methods are only suitable for single-source power distribution networks. As the energy crisis continues to intensify, the green and environmentally friendly distributed power generation technology has been rapidly developed and widely used. With the access of a large number of distributed power sources, the distribution network originally radiated by a single power source has become a complex network with multiple power sources radiated. This leads to the misjudgment of the existing fault zone location methods, and it is necessary to de...

AI Technical Summary

Problems solved by technology

The matrix algorithm requires high accuracy of fault information and poor fault tolerance, making it difficult to be widely used

Other intelligent algorithms, such as ant colony algorithm, immune algorithm, and genetic algorithm, have sufficient research and have certain fault tolerance to the distortion of fault information. Realize fault location, this method is only suitable for simple power distribution network, without considering the switching of power supply, it is not suitable for complex power distribution network with distributed power

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