Optimal Allocation on Voltage Sag Monitoring Point Based on MVR and GA

YANG Wanqing; JIANG Xuepu; LIU Bing

doi:10.14044/j.1674-1757.pcrpc.2016.06.010

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Optimal Allocation on Voltage Sag Monitoring Point Based on MVR and GA

更新时间：2024-09-14

- Optimal Allocation on Voltage Sag Monitoring Point Based on MVR and GA
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 37, Issue 6, Pages: 53-58(2016)
- 作者机构：
  
  国网辽宁省电力有限公司大连供电公司
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2016.06.010
  CLC： TM714.2
- Published：2016，
- 稿件说明：
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[1]杨万清,姜学朴,刘冰.基于MVR和GA的电压暂降监测点优化配置[J].电力电容器与无功补偿,2016,37(06):53-58.

YANG WANQING, JIANG XUEPU, LIU BING. Optimal Allocation on Voltage Sag Monitoring Point Based on MVR and GA. [J]. Power capacitor & reactive power compensation, 2016, 37(6): 53-58.
[1]杨万清,姜学朴,刘冰.基于MVR和GA的电压暂降监测点优化配置[J].电力电容器与无功补偿,2016,37(06):53-58. DOI： 10.14044/j.1674-1757.pcrpc.2016.06.010.

YANG WANQING, JIANG XUEPU, LIU BING. Optimal Allocation on Voltage Sag Monitoring Point Based on MVR and GA. [J]. Power capacitor & reactive power compensation, 2016, 37(6): 53-58. DOI： 10.14044/j.1674-1757.pcrpc.2016.06.010.

摘要

为减少电压暂降监测信息的冗余度

本文提出一种应用多变量回归（MVR）和遗传算法（GA）对电压暂降监测点进行优化配置的方法。首先

利用MVR构造合适的适应度函数

通过GA寻优能力获得监测点优化配置向量;其次

按照优化配置向量在对应节点配置监测仪

并结合可观测区域矩阵检查不同故障类型时的可观测性

进一步删除冗余监测点

获得最优配置向量;最后

利用PSCAD V4.2在IEEE30节点测试系统中开展仿真对比实验。仿真结果表明

本文提出方法不需设定阈值电压

仅需2个监测点即可对系统所有故障类型造成的电压暂降实现监测

证明了方法的有效性。

Abstract

For reducing redundancy of voltage sag monitoring information

in this paper

a kind of optimal allocation method for voltage sag monitoring point is proposed by the use of multivariable regression（MVR）and genetic algorithm（GA）. Firstly

the appropriate fitness function is structured by MVR and the optimal allocation vector of the monitoring point is obtained through the optimization ability of GA;Secondly

the monitoring device is arranged at the corresponding node in accordance with optimal allocation vector with combination of observability which is checked by matrix check in the observable area

the redundant monitoring point is cancelled further so to obtain allocation vector. Finally

the simulation and comparison test in the IEEE300 node test system is performed by the use of PSCAD V4.2. It is shown by the simulation result that the method proposed in this paper does not need threshold voltage but only two monitoring points to monitor the voltage sag caused by all types of faults of the system and effectiveness of the method is proved.

关键词

电压暂降监测优化配置多变量回归遗传算法

Keywords

voltage sag monitoringoptimal placementmultivariable regressiongenetic algorithm

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