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基于改进遗传算法的配电网无功优化

张华 郝建奇

电气技术Issue(6):28-31,68,5.
电气技术Issue(6):28-31,68,5.

基于改进遗传算法的配电网无功优化

Reactive Power Optimization of Distribution Network Based on Improved Genetic Algorithm

张华 1郝建奇1

作者信息

  • 1. 陕西省地方电力有限公司,西安710061
  • 折叠

摘要

Abstract

In this paper,based on the analysis of the status quo of the power grid safe and economic operation,it clarifies the need for Reactive Power Optimization,puts forward to save the loss of electricity up to target for the reactive power optimization mathematical model,and based on the traditional genetic algorithm,the paper introduces decimal encoding,the best individual preservation strategy and mutation operations with decimal yards plus or minus range of variation within a random number of operations improved genetic algorithm to solve the reactive power optimization model,finally,the algorithm is used to a 14-node grid system,the results show that the proposed algorithm in the optimization is basically the same effect,but also has less number of iterations,fast calculation and so on.

关键词

配电网/无功优化/改进遗传算法/净收益最大

Key words

distribution network/reactive power optimization/improved genetic algorithm/maximum net income

分类

信息技术与安全科学

引用本文复制引用

张华,郝建奇..基于改进遗传算法的配电网无功优化[J].电气技术,2012,(6):28-31,68,5.

电气技术

1673-3800

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