Optimum cost of generation for maximum loadability limit of power system using hybrid particle swarm optimization

被引：17

作者：

Shunmugalatha, A. ^{[1
]}

Slochanal, S. Mary Raja ^{[2
]}

机构：

[1] KLN Coll Engn, Dept Elect & Elect Engn, Pottapalayam 630611, Tamil Nadu, India

[2] Thiagarajar Coll Engn, Dept Elect & Elect Engn, Madurai 625015, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2008年 / 30卷 / 08期

关键词：

hybrid particle swarm optimization; maximum loadability limit; voltage stability;

D O I：

10.1016/j.ijepes.2008.04.001

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To estimate voltage stability, Maximum loadability limit (MLL) is one approach. MLL is the margin between the operating point of the system and the maximum loading point. The optimum cost of generation for MLL of power system can be formulated as an optimization problem, which consists of two steps namely computing MLL and the optimum Cost Of generation for MLL. This paper utilizes the hybrid particle swarm optimization, which incorporates the breeding and subpopulation process in genetic algorithm into particle swarm optimization, The implementations of HPSO to test systems show that it converges to better solution much faster. (c) 2008 Elsevier Ltd. All rights reserved.

引用

页码：486 / 490

页数：5

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