Reactive Power Optimization of Distribution Network Based on Adaptive Genetic Algorithm

SHAN Rui-qing1; LV Qun-fang1; WANG Jian-xun1; LIU Hui-jin1

doi:10.14044/j.1674-1757.pcrpc.2010.03.006

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Reactive Power Optimization of Distribution Network Based on Adaptive Genetic Algorithm

更新时间：2024-09-14

- Reactive Power Optimization of Distribution Network Based on Adaptive Genetic Algorithm
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 31, Issue 3, Pages: 18-21(2010)
- 作者机构：
  
  1. 武汉大学电气工程学院
  2. 洛阳市供电公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2010.03.006
  CLC： TM714.3
- Published：2010，
- 稿件说明：
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[1]单瑞卿,吕群芳,王建勋,刘会金.基于自适应遗传算法的配电网无功优化[J].电力电容器与无功补偿,2010,31(03):18-21+57.

SHAN RUI-QING1, LV QUN-FANG1, WANG JIAN-XUN1, et al. Reactive Power Optimization of Distribution Network Based on Adaptive Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2010, 31(3): 18-21.
[1]单瑞卿,吕群芳,王建勋,刘会金.基于自适应遗传算法的配电网无功优化[J].电力电容器与无功补偿,2010,31(03):18-21+57. DOI： 10.14044/j.1674-1757.pcrpc.2010.03.006.

SHAN RUI-QING1, LV QUN-FANG1, WANG JIAN-XUN1, et al. Reactive Power Optimization of Distribution Network Based on Adaptive Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2010, 31(3): 18-21. DOI： 10.14044/j.1674-1757.pcrpc.2010.03.006.

摘要

针对传统的遗传算法在求解配电网无功优化问题时容易陷入局部最优

并且收敛速度慢的缺点

将自适应遗传算法引入配电网无功优化中

采用自适应的交叉率和变异率使之符合遗传算法动态性和适应性搜索过程

并在编码方式、适应度函数设计、遗传操作以及终止判据等方面进行改进

对IEEE 33测试系统进行仿真分析

算例表明了算法的实用性和有效性。

Abstract

As for the shortcoming of traditional genetic algorithm which can easily fall into partial optimum and have slow rate of convergence when used in solving the reactive power optimization problems of distribution network

in this paper

adaptive genetic algorithm is introduced into reactive power optimization of distribution network

adaptive cross rate and variation rate is used so to make them conform to the dynamic and adaptive genetic algorithm search process.Some improvements in such areas as encoding

fitness function design

genetic operations and termination criterion are made.IEEE 33 test system is used for simulation analysis and the usefulness and effectiveness of the algorithm is shown in the numerical example.

关键词

配电网无功优化遗传算法自适应

Keywords

distribution networkreactive power optimizationgenetic algorithmadaptive

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Related Author

XU Kai-wen

GAO Li-ping1

WANG Jian-xun1

LIU Hui-jin1

ZHU Xin-ming1

ZENG Xiang-zhi1

ZHANG Yong-jun2

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Related Institution

Jieyang Power Supply Company

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