.png){kind=icon}
返回
Evolutionary programming techniques for different kinds of economic dispatch problems
.png){kind=icon}
PRE
AI
DOI：10.1016/j.epsr.2004.08.001.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper is aimed at exploring the performance of the different evolutionary programming (EP) techniques for all kinds of economic dispatch (ED) problems. The three EP techniques considered here differ in the kind of mutation they use: Gaussian, Cauchy and combined Gaussian-Cauchy mutation. The kinds of problems tested are: ED of generators with prohibited operating zones (POZ), ED of generators with piecewise quadratic cost functions (PQCF), combined economic-environmental dispatch (CEED) and multi-area economic dispatch (MAED). The three EP techniques have been developed in Matlab 6.5 and numerical examples typical to each kind of ED have been tested. The simulation results are compared and discussed to show the relative performances of the different EP techniques. (C) 2004 Elsevier B.V. All rights reserved.
Keyword:
prohibited operating zones
piecewise quadratic cost function
Gaussian mutation
Cauchy mutation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.2
论文数:
1.2W
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
Particle swarm optimization to solving the economic dispatch considering the generator constraints
OAAI
OAAI分享收藏
查看更多内容