Economic dispatch of generators with prohibited operating zones: A genetic algorithm approach

被引：131
|
作者：
Orero, SO
Irving, MR
机构：
[1] Brunel Institute of Power Systems, Brunel University
来源：
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 1996年 / 143卷 / 06期
关键词：
economic dispatch; genetic algorithms; power system optimisation;
D O I：
10.1049/ip-gtd:19960626
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：
The work explores the use of a genetic algorithm for the solution of an economic dispatch problem in power systems where some of the units have prohibited operating zones. Genetic algorithms have a capability to provide global optimal solutions in problem domains where a complete traversion of the whole search space is computationally infeasible. Two different implementations of the genetic algorithm for the solution of this dispatch problem are presented: a standard genetic algorithm, and a deterministic crowding genetic algorithm model. The results demonstrate that the genetic algorithm can be applied successfully in the solution of problems represented with nonconvex functions.
引用
收藏
页码：529 / 534
页数：6
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