Voltage Sag State Estimation Based on Hybrid Particle Swarm Optimization Algorithm

被引：0

作者：

Fan Di ^{[1
]}

Tian Lijun ^{[1
]}

Cui Yu ^{[2
]}

机构：

[1] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China

[2] Jiangsu Elect Power Co, State Grid Corp China, Nanjing 210024, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS | 2015年

关键词：

power quality; voltage sag; state estimation; hybrid particle swarm optimization algorithm; optimal allocation; round-off method;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents an approach applying Hybrid Particle Swarm Optimization algorithm to voltage sag frequency state estimation, based on the monitoring system determined by optimum allocation method of voltage sag monitoring nodes. Voltage sag frequency state estimation is interpreted as the estimation of the number of voltage sags occurring at non-monitored buses from the recorded voltage sags occurrence number at the monitored buses. In this study, a Hybrid Particle Swarm Optimization algorithm is proposed to solve the problem of voltage sag state estimation by the use of round-off method. The effectiveness and accuracy of the proposed approach are verified by the case study of the IEEE-39 standard test system.

引用

页码：1729 / 1734

页数：6

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