Reactive Plan Optimization of Distribution Network Based on the Improved Genetic Algorithm

GAO Li-ping1; WANG Jian-xun1; LIU Hui-jin1

doi:10.14044/j.1674-1757.pcrpc.2010.04.012

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Reactive Plan Optimization of Distribution Network Based on the Improved Genetic Algorithm

更新时间：2024-09-14

- Reactive Plan Optimization of Distribution Network Based on the Improved Genetic Algorithm
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 31, Issue 4, Pages: 5-9(2010)
- 作者机构：
  
  1. 武汉大学电气工程学院
  2. 洛阳供电公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2010.04.012
  CLC： TM715
- Published：2010，
- 稿件说明：
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[1]高丽萍,王建勋,刘会金.基于改进遗传算法的配电网无功规划优化[J].电力电容器与无功补偿,2010,31(04):5-9+46.

GAO LI-PING1, WANG JIAN-XUN1, LIU HUI-JIN1. Reactive Plan Optimization of Distribution Network Based on the Improved Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2010, 31(4): 5-9.
[1]高丽萍,王建勋,刘会金.基于改进遗传算法的配电网无功规划优化[J].电力电容器与无功补偿,2010,31(04):5-9+46. DOI： 10.14044/j.1674-1757.pcrpc.2010.04.012.

GAO LI-PING1, WANG JIAN-XUN1, LIU HUI-JIN1. Reactive Plan Optimization of Distribution Network Based on the Improved Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2010, 31(4): 5-9. DOI： 10.14044/j.1674-1757.pcrpc.2010.04.012.

摘要

以配电网电能损耗、无功补偿设备投资以及节点电压质量等经济技术综合效益最大为目标函数

在最大负荷运行方式下建立了配电网无功规划优化的数学模型。针对配电网分支和待补偿节点多的特点

提出一种无功电流损耗最小的算法

用以优化补偿电容器的个数和位置

并在此基础上

结合改进的遗传算法进一步提高无功规划优化的精度和效率。该方法既可以减小初始种群的无效解

克服了"维数灾"

又可以避免遗传算法的早熟和欺骗问题。仿真算例验证了该方法的有效性和实用性。

Abstract

A mathematical model on reactive plan optimization of distribution network at the maximum load operating mode is established

which takes the maximum integrated economic and technological benefits of electric power loss of distribution network

the investment of reactive power compensation equipment and the quality of node voltage as the objective function.For the characteristics of multi-branch and multi-node to be compensated in the distribution network

an algorithm with minimum loss of reactive current is proposed to optimize the number and location of capacitors

on this basis

moreover combine with improved genetic algorithm

the accuracy and efficiency of reactive plan optimization is further improved.This method can not only reduce the invalid solution of the initial population and overcome the "curse of dimensionality"

but also avoid the premature and deception issues of the genetic algorithm.The effectiveness and practicality of the method have been demonstrated by the simulation calculation example.

关键词

配电网无功规划优化电容器遗传算法

Keywords

distribution networkreactive power plan optimizationcapacitorgenetic algorithm

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