Low-loss power distribution network optimization and reconfiguration method based on genetic algorithm

Abstract

The invention provides a low-loss power distribution network optimization and reconfiguration method based on a genetic algorithm. According to the method, firstly, original progenitor chromosome populations are generated and encoded; whether lonely islands exist in the original progenitor chromosome populations or not is judged; chromosomes with the lonely islands are removed, and progenitor chromosome populations are obtained; the adaptation degrees of each chromosome in the progenitor chromosome populations are calculated, and sequencing is carried out according to the values of the adaptation degrees; whether the adaptation degrees meet design requirements or not is judged; if the adaptation degrees do not meet the design requirements, duplication, intersection and variation of the chromosome populations are carried out; the obtained chromosome populations are subjected to Elitism processing, i.e., before next iteration, the chromosomes with the best adaptation degree in the iterated progenitor chromosome populations are put into the next iteration; the iteration is repeated until iteration stopping conditions are met; and the optimum value is output. The low-loss power distribution network optimization and reconfiguration method based on the genetic algorithm provided by the invention has the advantages that Elitism is introduced; convergent results are more accurate; the problem of inconsistent convergent results of the genetic algorithm is solved; and the optimization efficiency is high.

Description

technical field [0001] The invention relates to a method for reconfiguring a low-loss power distribution network, which belongs to the technical field of distribution network planning. Background technique [0002] Distribution network reconfiguration is also called distribution network configuration, or distribution network feeder configuration, distribution network feeder reconfiguration, etc. Distribution network reconstruction is to change the combined state of section switch and tie switch under the premise of ensuring that the distribution network is radial, meeting the feeder heat capacity, voltage drop requirements and transformer capacity, that is, to select the user's power supply path, so that the distribution The best distribution network operation mode for a certain index of the network (such as: distribution network line loss, load balance or power supply voltage quality, etc.). In the optimization and reconstruction of the distribution network, it is easy to ...

AI Technical Summary

Problems solved by technology

The genetic algorithm has less calculation time, high precision, and good convergence, which meets the requirements of the distribution network optimization method. However, the genetic algorithm is an intelligent optimization algorithm for searching the optimal solution, and can only find an approximate optimal solution. Therefore, each time The convergence results are not the same, and there are certain differences. The improvement of the genetic algorithm has become the research goal.

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