GENETIC ALGORITHMS PERFORMANCES ASSESSMENT FOR OPTIMAL LOCATION AND SIZING OF DISTRIBUTED GENERATION

被引：0
|
作者：
Pisica, Ioana [1 ]
Postolache, Petru [1 ]
机构：
[1] Univ Politehn Bucuresti, Elect Power Syst Dept, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2009年 / 71卷 / 04期
关键词：
distributed generation; genetic algorithms; selection methods; roulette wheel selection; crossover fraction;
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：
The paper addresses the problem of optimal allocation of distributed generation sources in an electrical distribution network. The proposed solution method is based on genetic algorithms and the study is centered on the influence of genetic algorithms' parameters upon their performances. The results show that different parameter set-ups lead to different solutions and that a process of parameter tuning is necessary before using the genetic algorithms.
引用
收藏
页码：205 / 218
页数：14
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