Multi-objective Reactive Power Optimization of Reactive Distribution Network Based on the Improved NSDE Algorithm

GONG Xuejiao; HAO Dongguang; ZHU Ruijin

doi:10.14044/j.1674-1757.pcrpc.2020.05.010

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Multi-objective Reactive Power Optimization of Reactive Distribution Network Based on the Improved NSDE Algorithm

更新时间：2024-09-14

- Multi-objective Reactive Power Optimization of Reactive Distribution Network Based on the Improved NSDE Algorithm
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 41, Issue 5, Pages: 54-59(2020)
- 作者机构：
  
  1. 西藏农牧学院电气工程学院
  2. 国网西藏电力有限公司培训中心
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2020.05.010
  CLC： TP18;TM714.3
- Published：2020，
- 稿件说明：
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[1]龚雪娇,郝东光,朱瑞金.基于改进NSDE算法的有源配电网多目标无功优化[J].电力电容器与无功补偿,2020,41(05):54-59+66.

GONG XUEJIAO, HAO DONGGUANG, ZHU RUIJIN. Multi-objective Reactive Power Optimization of Reactive Distribution Network Based on the Improved NSDE Algorithm. [J]. Power capacitor & reactive power compensation, 2020, 41(5): 54-59.
[1]龚雪娇,郝东光,朱瑞金.基于改进NSDE算法的有源配电网多目标无功优化[J].电力电容器与无功补偿,2020,41(05):54-59+66. DOI： 10.14044/j.1674-1757.pcrpc.2020.05.010.

GONG XUEJIAO, HAO DONGGUANG, ZHU RUIJIN. Multi-objective Reactive Power Optimization of Reactive Distribution Network Based on the Improved NSDE Algorithm. [J]. Power capacitor & reactive power compensation, 2020, 41(5): 54-59. DOI： 10.14044/j.1674-1757.pcrpc.2020.05.010.

摘要

针对同时降低系统有功网损和改善电压水平的含分布式电源（DG）配电网多目标无功优化问题

提出一种改进非支配排序差分进化算法（I-NSDE）。在传统非支配排序差分进化算法（NSDE）的基础上

引入反向学习初始化种群和自适应调整控制参数策略

以增加Pareto最优解的多样性和提高算法的全局收敛能力。以IEEE 33节点配电系统为算例进行仿真分析

结果表明应用所提算法能获得一组分布均匀的Pareto最优解

同时具有较好的全局收敛性

可为电网运行人员提供多样化的无功优化方案。

Abstract

In view of multi-objective reactive power optimization issue of distribution network containing distributed power supply in both reducing active power network loss of system and simultaneously improving voltage level

a kind of non-dominated sorting differential evolution algorithm（I-NSDE） is proposed.Based on the non-dominated sorting differential evolution algorithm（NSDE）

opposition based learning and self-adaption of control parameters is introduced to enhance the diversity and the global convergence of algorithm.The IEEE 33 node system distribution system is taken as calculation example for simulation analysis.It is shown by the result that the proposed algorithm can maintain the diversity of Pareto-optimal solutions and

at the same time

has better global convergence

which can provide various reactive power optimization proposals for network operators.

关键词

无功优化配电网分布式电源（DG）多目标优化差分进化

Keywords

reactive power optimizationdistribution networkdistributed generation（DG）multi-objective optimizationdifferential evolution

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