Optimal power flow using differential evolution algorithm

被引：284

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, Menoufia, Egypt

[2] King Fahd Univ Petr & Minerals, Dept Elect Engn, Dhahran, Saudi Arabia

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2010年 / 80卷 / 07期

关键词：

Optimal power flow; Differential evolution algorithm; Fuel cost minimization; Voltage profile improvement; Voltage stability enhancement;

D O I：

10.1016/j.epsr.2009.12.018

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：

This paper presents an evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution (DE) algorithm for optimal settings of OPF control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objective functions that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. In addition, non-smooth piecewise quadratic cost function has been considered. 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 OPF problem for the systems considered. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：878 / 885

页数：8

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