Practical distribution state estimation using hybrid particle swarm optimization

被引：0

作者：

Naka, S ^{[1
]}

Genji, T ^{[1
]}

Yura, T ^{[1
]}

Fukuyama, Y ^{[1
]}

机构：

[1] Kansai Elect Power Co Inc, Tech Res Ctr, Amagasaki, Hyogo 661, Japan

来源：

2001 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, CONFERENCE PROCEEDINGS, VOLS 1-3 | 2001年

关键词：

state estimation; distribution systems; modern heuristic method; hybrid particle swarm optimization; distributed generation; voltage regulator;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a practical distribution state estimation method using a hybrid particle swarm optimization. The proposed method considers nonlinear characteristics of the practical equipment and actual measurements in distribution systems. The method can estimate load and distributed generation output values at each node by minimizing difference between measured and calculated state variables. The feasibility of the proposed method is demonstrated and compared with the original PSO on practical distribution system models. The results indicate the applicability of the proposed state estimation method to the practical distribution systems.

引用

页码：815 / 820

页数：4

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