.png){kind=icon}
返回
A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling
.png){kind=icon}
PRE
AI
DOI：10.1109/59.667375.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A Genetic algorithm is applied to the problem of determining the optimal hourly schedule of power generation in a hydro thermal power system. A multi-reservoir cascaded hydro-electric system with a non-linear relationship between water discharge rate, net head and power generation is considered. The water transport delay between connected reservoirs is also taken into account. The main control parameters that affect the genetic algorithm performance are discussed and a summary of the theoretical basis of the genetic algorithm method is presented. It is shown that a multiple step genetic algorithm search sequence can provide the optimal hourly loading of the system generators.
Keyword:
POWER-SYSTEM
DECOMPOSITION TECHNIQUES
OPERATION
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:
7.2
论文数:
1.1W
被引数:
5.0W
机构
暂无机构信息
引用论文
Comparison of Selection Signatures between Korean Native and Commercial Chickens Using 600K SNP Array Data.png)
Genes
OAAI
GenesIF0
OAAI分享收藏Cumulus cells affect distribution and function of the cytoskeleton and organelles in porcine oocytesOAAI
OAAI分享收藏
查看更多内容