.png){kind=icon}
返回
Improved differential evolution algorithms for handling economic dispatch optimization with generator constraints
.png){kind=icon}
PRE
AI
DOI：10.1016/j.enconman.2006.11.007.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Global optimization based on evolutionary algorithms can be used as the important component for many engineering optimization problems. Evolutionary algorithms have yielded promising results for solving nonlinear, non-differentiable and mufti-modal optimization problems in the power systems area. Differential evolution (DE) is a simple and efficient evolutionary algorithm for function optimization over continuous spaces. It has reportedly outperformed search heuristics when tested over both benchmark and real world problems. This paper proposes improved DE algorithms for solving economic load dispatch problems that take into account nonlinear generator features such as ramp rate limits and prohibited operating zones in the power system operation. The DE algorithms and its variants are validated for two test systems consisting of 6 and 15 thermal units. Various DE approaches outperforms other state of the art algorithms reported in the literature in solving load dispatch problems with generator constraints. (C) 2006 Elsevier Ltd. All rights reserved.
Keyword:
differential evolution algorithm
economic dispatch
generator constraints
optimization
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:
10.9
论文数:
2.0W
被引数:
11.3W
机构
暂无机构信息
引用论文
Post‐stroke depression and functional recovery in a population‐based stroke register. The Finnstroke study基于人群的卒中登记中的卒中后抑郁和功能恢复。Finnstroke研究
PREAI
分享收藏分享收藏Particle swarm optimization to solving the economic dispatch considering the generator constraints
OAAI
OAAI分享收藏
Antibody cocktail to SARS-CoV-2 spike protein prevents rapid mutational escape seen with individual antibodies.png)
ScienceOAAI
ScienceIF0
OAAI分享收藏
查看更多内容