Differential evolution algorithm for optimal reactive power dispatch

被引:201
作者
Abou El Ela, A. A. [1 ]
Abido, M. A. [2 ]
Spea, S. R. [1 ]
机构
[1] Menoufiya Univ, Fac Engn, Dept Elect Engn, Delta, Egypt
[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran, Saudi Arabia
关键词
Reactive power dispatch; Differential Evolution algorithm; Fuel cost minimization; Voltage profile improvement; Voltage stability enhancement; OPTIMIZATION;
D O I
10.1016/j.epsr.2010.10.005
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
Reactive power dispatch (RPD) is one of the important tasks in the operation and control of power system. This paper presents an efficient and reliable evolutionary-based approach to solve the RPD problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of RPD control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect power losses minimization, voltage profile improvement, and voltage stability enhancement. The simulation results of the proposed approach are compared to those reported in the literature. The results demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the RPD problem. Crown Copyright (C) 2010 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:458 / 464
页数:7
相关论文
共 27 条
[1]   Multiobjective optimal VAR dispatch using Strength Pareto Evolutionary Algorithm [J].
Abido, M. A. .
2006 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-6, 2006, :730-736
[2]   Optimal power flow using particle swarm optimization [J].
Abido, MA .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2002, 24 (07) :563-571
[3]   Optimal power flow using differential evolution algorithm [J].
Abou El Ela, A. A. ;
Abido, M. A. ;
Spea, S. R. .
ELECTRICAL ENGINEERING, 2009, 91 (02) :69-78
[4]  
BABU BV, DIFFERENTIAL EVOLUTI
[5]  
BAKARE GA, 2007, POW ENG SOC GEN M, P1
[6]  
Balamurugan R., 2007, INT J COMPUTER SCI E, V1, P10
[7]  
DANIELA Z, 2007, COMPUT SCI INFORM TE, P171
[8]  
Das S., Particle Swarm Optimization and Differential Evolution Algorithms
[9]  
DASBHAGWAN C, 2003, ELECT POWER RES, V65, P83
[10]   Multi-Objective VAR Dispatch Using Particle Swarm Optimization [J].
Durairaj, S. ;
Kannan, P. S. ;
Devaraj, D. .
INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2005, 4 (01)