Load flow solution using hybrid particle swarm optimization

被引：17

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, Egypt

来源：

ICEEC'04: 2004 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTER ENGINEERING, PROCEEDINGS | 2004年

关键词：

D O I：

10.1109/ICEEC.2004.1374585

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or Gauss-Seidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.

引用

页码：742 / 746

页数：5

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