The short-time optimize dispatchers of step power station based on a mix GA

	The short-time optimize dispatchers of step power station based on a mix GA
	Ma, Xi-Jin; Jiang, Tao; Zhao, Ting-Hong
	2009
会议名称	2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009
会议录名称	2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009
页码	248-251
会议日期	August 8, 2009 - August 9, 2009
会议地点	Sanya, China
出版者	Engineering Technology Press
摘要	It is a high dimension, non- protruding, dispersed, non-linear dynamic optimization question that the short time optimizes dispatcher's question of step power stations, so it is very difficult to find out the optimally solving in theory, but because it can bring the remarkable economic benefits, a lot of domestic and international scholars have been studying actively all the time, and propose a lot of methods of solving, these methods have one's own minuses. This paper combines the niche GA and self-adaptation GA together, set up one mix GA, utilize the niche elimination tactics to realizing selecting the excellent course, utilize self-adaptive hybridization and variation tactics to realize hereditary course to come, then apply it to solve the problem of short time optimize dispatcher of step power station group, result show this paper algorithm raise the dependability of solving and the speed and precision solved greatly. ©2009 ETP.
关键词	Computation theory Electric load dispatching Power plants Economic benefits Excellent course High dimensions Niche genetic algorithm Non-linear dynamics Power station Self adaptation Short-time optimize dispatcher
收录类别	EI
语种	英语
EI入藏号	20101312816206
EI主题词	Genetic algorithms
来源库	Compendex
分类代码	706.1.1 Electric Power Transmission - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/116345
专题	能源与动力工程学院
作者单位	Department (12Pt Times New Roman, Centered), Lanzhou University of Technology, Lanzhou, Gansu, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Ma, Xi-Jin,Jiang, Tao,Zhao, Ting-Hong. The short-time optimize dispatchers of step power station based on a mix GA[C]:Engineering Technology Press,2009:248-251.