Optimal Configuration of Capacitor in Distribution Network Based on GA Trust-technology

WU Kuihua; WU Jian; SUN Wei; YANG Bo; JIANG Bin; FENG Liang; WANG Jian

doi:10.14044/j.1674-1757.pcrpc.2017.01.024

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Optimal Configuration of Capacitor in Distribution Network Based on GA Trust-technology

更新时间：2024-09-14

- Optimal Configuration of Capacitor in Distribution Network Based on GA Trust-technology
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 38, Issue 1, Pages: 128-132(2017)
- 作者机构：
  
  1. 国网山东省电力公司经济技术研究院
  2. 国网山东省电力公司
  3. 国网山东省电力公司电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2017.01.024
  CLC： TM53
- Published：2017，
- 稿件说明：
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[1]吴奎华,吴健,孙伟,杨波,蒋斌,冯亮,王建.基于GA-信任技术的配电网电容器优化配置[J].电力电容器与无功补偿,2017,38(01):128-132.

WU KUIHUA, WU JIAN, SUN WEI, et al. Optimal Configuration of Capacitor in Distribution Network Based on GA Trust-technology. [J]. Power capacitor & reactive power compensation, 2017, 38(1): 128-132.
[1]吴奎华,吴健,孙伟,杨波,蒋斌,冯亮,王建.基于GA-信任技术的配电网电容器优化配置[J].电力电容器与无功补偿,2017,38(01):128-132. DOI： 10.14044/j.1674-1757.pcrpc.2017.01.024.

WU KUIHUA, WU JIAN, SUN WEI, et al. Optimal Configuration of Capacitor in Distribution Network Based on GA Trust-technology. [J]. Power capacitor & reactive power compensation, 2017, 38(1): 128-132. DOI： 10.14044/j.1674-1757.pcrpc.2017.01.024.

摘要

本文将遗传算法（GA）与信任技术（Trust-Tech）算法相结合

用于解决配电网中电容器的配置问题。建立了相应的数学模型

将电容器购买费用、安装费用、维护费用与系统有功损耗支出的总和最小作为目标函数。算法包含2个阶段

首先采用具有全局搜索能力的GA算法来识别包含高质量最优解的解空间区域

然后采用信任技术搜索该区域内的局部最优解

取其中最优解作为电容器配置方案。并将该算法用于实际系统的测试

测试结果表明该算法可以获得比遗传算法更好的解

且解具有确定性。

Abstract

In this paper

the genetic algorithm（GA） and trust-technology（trust-tech） algorithm are combined to solve the configuration problem of capacitor in the distribution network. Corresponding mathematical model is built and the sum of purchasing cost of capacitor

installation cost

maintenance cost and active loss expenditure are taken as objective function. The algorithm includes two stages

the GA algorithm with global searching ability is used firstly to identify space area containing high quality and optimal solution

then partial optimal solution in the area is searched by the trust technology and the most optimal solution is taken as the capacitor’s configuration scheme. The algorithm is used test of actual system and it is show by the test result that this algorithm can obtain better solution than that of genetic algorithm and the solution has certainty.

关键词

配电网电容器配置信任技术遗传算法

Keywords

distribution networkcapacitor configurationtrust-technologygenetic algorithm

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