水力发电2017，Vol.43Issue(5)：76-80,5.
基于改进差分进化算法的水火电短期优化调度
Short-term Dispatch Study of Hydrothermal Power Systems Based on Enhanced Differential Evolution
摘要
Abstract
In view of the complexity and difficulty to decide the mutation rate in high-dimensional problems such as short-term dispatch of hydrothermal power systems and premature convergence problem in Differential Evolution (DE),an Enhanced Differential Evolution (EDE) algorithm is proposed.In EDE,a self-adaption mutation operator is adopted.Thereafter,the distance variance is used to check the premature convergence,and new population is generated by normal distribution.A deputy fitness function is constructed in order to make the feasible solution be within the constraints of convergence.From the analysis of simulated system consisting of four hydropower stations and three thermal power stations,it can be seen that the EDE gives a minimum cost of system and provides an effective method for the optimization of hydrothermal power systems.关键词
改进差分进化算法/梯级水电站/联合优化调度/水火电系统Key words
enhanced differential evolution algorithm/cascade hydropower station/joint optimal dispatch/hydrothermal power system分类
建筑与水利引用本文复制引用
黄迪,徐刚,向红艳,李英海..基于改进差分进化算法的水火电短期优化调度[J].水力发电,2017,43(5):76-80,5.基金项目
国家自然科学基金资助项目(51409152) （51409152）
