Maximum loadability of power systems using hybrid particle swarm optimization

被引：43

作者：

El-Dib, AA ^{[1
]}

Youssef, HKM ^{[1
]}

El-Metwally, MM ^{[1
]}

Osman, Z ^{[1
]}

机构：

[1] Cairo Univ, Fac Engn, Elect Power & Machines Dept, Giza 12211, Egypt

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2006年 / 76卷 / 6-7期

关键词：

power system optimization; maximum loadability; voltage stability; hybrid particle swarm optimization;

D O I：

10.1016/j.epsr.2005.05.011

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：

The problem of voltage stability is one of the main concerns in the operation of power systems. There are different approaches to estimate the voltage stability of the system. One of these approaches is to find the margin from the current operating point to the maximum loading point of the system. Finding this maximum loading point can be formulated as an optimization problem. This paper utilizes the newly developed evolutionary particle swarm optimization in solving this optimization problem. Details of the implementation of the proposed method to two test systems (Ward-Hale 6-bus) and (IEEE 14-bus) are presented. The results are compared to those obtained by the widely used continuation power flow technique. Good agreement has been obtained proving the validity and applicability of the proposed method. (c) 2005 Published by Elsevier B.V.

引用

页码：485 / 492

页数：8

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