数据采集与处理2017，Vol.32Issue(1)：95-103,9.DOI:10.16337/j.1004-9037.2017.01.011
基于变权重因子差分进化算法的梯级水火电力系统调度
Cascaded Hydrothermal Power System Scheduling Based on Variable Weight Differential Evolution Algorithm
摘要
Abstract
The complexity of cascaded hydrothermal power system that its scheduling cannot be solved by the traditional method.Improved differential evolution algorithm is proposed and the scheduling problem are solved.In order to make full use of the information contained in the best individual of the population,variable weighting factor is applied to improve differential evolution algorithm,thereby the search ability of the algorithm is enhanced.The balance constraints of the scheduling problem are solved by heuristic strategy.The heuristic strategies based on priority list are devised to fully use thermal units with the lower average full-load cost and satisfy the dynamic balance constraints of power system.During the process of handling balance constraints,part of the individual's value is changed,so that the search space is extended and the even better solutions are obtained.The simulation results show that the proposed approach can effectively solve the scheduling problem of cascaded hydrothermal power system.关键词
差分进化/梯级水火电力系统/变权重因子/调度优化/启发式策略Key words
differential evolution/cascaded hydrothermal power system/variable weight factor/scheduling optimization/heuristic strategy分类
信息技术与安全科学引用本文复制引用
孙成富,赵建洋,高磊..基于变权重因子差分进化算法的梯级水火电力系统调度[J].数据采集与处理,2017,32(1):95-103,9.基金项目
淮安市科技支撑计划(工业)(HAG2011044,HAG2011045,HAG2013012)资助项目 （工业）
淮安市重点研发计划(HAG2015034)资助项目. （HAG2015034）
