Evolutionary-programming-based algorithm for environmentally-constrained economic dispatch

被引：1
|
作者：
Wong, KP [1 ]
Yuryevich, J [1 ]
机构：
[1] Univ Western Australia, Dept Elect & Elect Engn, Artificial Intelligence & Power Syst Res Grp, Nedlands, WA 6907, Australia
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 1998年 / 13卷 / 02期
关键词：
economic dispatch; environmental impact; optimisation; evolutionary programming;
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 develops an efficient and reliable evolutionary-programming-based algorithm for solving the environmentally constrained economic dispatch (ECED) problem. The algorithm can deal with load demand specifications in multiple intervals of the generation scheduling horizon. In the paper, the principal components of the evolutionary-programming-based ECED algorithm are presented. Solution acceleration techniques in the algorithm which enhance the speed and robustness of the algorithm are developed. The power and usefulness of the algorithm is demonstrated through its application to a test system.
引用
收藏
页码：301 / 306
页数：6
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