Power System Aggregate Load Area Modelling by Particle Swarm Optimization

被引：0

作者：

JianLin Wei JiHong Wang Q H Wu Nan Lu Department of Electrical Engineering and Electronics University of Liverpool Brownlow Hill Liverpool L GJ UK ^{[69
,3
]}

机构：

来源：

International Journal of Automation and Computing | 2005年 / 02期

关键词：

Load modelling; power system; particle swarm optimization; parameter identificaiotn;

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：

<正>This paper presents a new approach for deriving a power system aggregate load area model (ALAM). In this approach, an equivalent area load model is derived to represent the load characters for a particular area load of a power system network. The Particle Swarm Optimization (PSO) method is employed to identify the unknown parameters of the generalised system, ALAM, based on the system measurement directly using a one-step scheme. Simulation studies are carried out for an IEEE 14-Bus power system and an IEEE 57-Bus power system. Simulation results show that the ALAM can represent the area load characters accurately under different operational conditions and at different power system states.

引用

页码：171 / 178

页数：8

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