Dynamic equivalents of power system based on extended two Particle Swarm Optimization

被引：0
|
作者：
Yang, Jingping [1 ]
Zhang, Jing [1 ]
Pan, Wulue [1 ]
机构：
[1] Zhejiang Univ, Dept Elect Engn, Hangzhou 310027, Peoples R China
来源：
ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS | 2007年
关键词：
dynamic equivalents; Phasor Measurement Units (PMUs); parameter identification; particle swarm optimization (PSO);
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel methodology based on Phasor Measurement Units (PMUs) for power system dynamic equivalents is presented. In this methodology the external system is reduced dynamically using the important quantities obtained by PMUs. An extended two Particle Swarm Optimization (PSO) algorithm with the mutation operator is proposed to identify the parameters of the equivalent system. The proposed method is demonstrated and compared with the original system using the 10 machines 39 buses New England test system. The comparison shows that the proposed method can preserve the dynamic properties of the original system and has great value in engineering application.
引用
收藏
页码：609 / +
页数：2
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