GENETIC ALGORITHM SOLUTION TO THE ECONOMIC-DISPATCH PROBLEM

被引：177

作者：

BAKIRTZIS, A ^{[1
]}

PETRIDIS, V ^{[1
]}

KAZARLIS, S ^{[1
]}

机构：

[1] ARISTOTELIAN UNIV THESSALONIKI,FAC ELECT ENGN,DEPT ELECTR & COMP ENGN,GR-54006 THESSALONIKI,GREECE

来源：

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 1994年 / 141卷 / 04期

关键词：

ECONOMIC DISPATCH; GENETIC ALGORITHMS;

D O I：

10.1049/ip-gtd:19941211

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：

Two genetic algorithm (GA) solutions to the economic dispatch problem are presented. An advantage of the GA solutions is that they do not impose any convexity restrictions on the generator cost functions. Another advantage is that GAs can be very effectively coded to work on parallel machines. Test results with systems of up to 72 generating units with nonconvex cost functions show that both GAs outperform the dynamic programming solution to the economic dispatch problem. Furthermore, the execution time of the second GA solution increases almost linearly with the number of generators.

引用

页码：377 / 382

页数：6

共 19 条

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