.png){kind=icon}
返回
Cuckoo search algorithm for economic dispatch
.png){kind=icon}
PRE
AI
DOI：10.1016/j.energy.2013.07.011.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 presents cuckoo search algorithm for solving both convex and nonconvex ED (economic dispatch) problems of fossil fuel fired generators considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. This paper also presents cuckoo search algorithm for micro grid power dispatch problem. Cuckoo search algorithm is a new meta-heuristic algorithm. It is a nature-based searching technique which is inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The effectiveness of the proposed algorithm has been verified on different test systems. Compared with the other existing techniques, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the ED problems in practical power system and micro grid power dispatch problem. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Cuckoo search algorithm
Micro grid
Economic dispatch
Multiple fuel
Valve-point loading
Prohibited operating zone
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:
9.4
论文数:
4.3W
被引数:
20.2W
机构
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Multi-objective scheduling problem: Hybrid approach using fuzzy assisted cuckoo search algorithm
PREAI
分享收藏
查看更多内容