Optimal Power Flow using evolutionary programming techniques

被引：0
|
作者：
El Metwally, M. M. [1 ]
El Emary, A. A.
El Bendary, F. M. [2 ]
Mosaad, M. I. [3 ]
机构：
[1] Cairo Univ, Fac Engn, Elect Power & Machines Dept, Cairo, Egypt
[2] I Shou Univ, Dept Fac Engn, Cairo, Egypt
[3] Higher Inst Technol, Elect & Comp Dept, Ramadan, Egypt
来源：
2008 12TH INTERNATIONAL MIDDLE EAST POWER SYSTEM CONFERENCE, VOLS 1 AND 2 | 2008年
关键词：
Genetic Algorithms; Interior Point Method; Optimal Power Flow and Particle Swarm Optimization;
D O I：
暂无
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 comparisons between different methods used to solve Optimal Power Flow (OPF) problem economic dispatch (ED) problem. These methods are Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm from the heuristic methods. Comparisons between these heuristic methods and conventional methods like Interior Point method (IPM) are introduced. The objective function, which consists of the fuel (generation) cost is minimized. Numerical examples typical to each method are introduced. The solutions obtained are quite encouraging and useful in the economic dispatch environment.
引用
收藏
页码：536 / +
页数：3
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