A PSO Algorithm for the Economic Load Dispatch Including a Renewable Wind Energy

被引:0
|
作者
Benhamida, F. [1 ]
Salhi, Y. [1 ]
Ziane, I. [1 ]
Souag, S. [2 ]
Belhachem, R. [2 ]
Bendaoud, A. [2 ]
机构
[1] UDL Univ Sidi Bel Abbes, Irecom Lab, Dept Electrotech, Sidi Bel Abbes, Algeria
[2] UDL Univ Sidi Bel Abbes, Apelec Lab, Dept Electrotech, Sidi Bel Abbes, Algeria
关键词
Economic load dispatch (ELD); wind energy; particle swarm optimization (PSO) algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Economic load dispatch among thermal units is one of the most important problems in power systems operation. Usually so called equal marginal cost criterion is adopted to this calculation. Recently global trend of utilizing more and more renewable energy such as wind power makes this problem more important than ever. With the continuing search for alternatives to conventional energy sources, it is necessary to include wind energy generators (WEG) in the ELD problem. This paper presents a solution of economic load dispatch incorporation wind energy using a particle swarm optimization algorithm (PSO). The effect of wind energy generators system inclusion on ELD problem is investigated, with the source wind susceptible to short duration variations, which is the uncertainty of wind speed around a short-duration-stable mean value. A 6 and 20 unit test system is resolved using PSO to illustrate the variation in the optimal cost, losses, and system lambda with the variation of short-duration-stable mean wind speed.
引用
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页数:6
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