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

作　　者：孙成富[1] 赵建洋[1] 高磊[2] 

机构地区：[1]淮阴工学院计算机与软件工程学院,淮安223003 [2]淮阴工学院自动化学院,淮安223003

出　　处：《数据采集与处理》2017年第1期95-103,共9页Journal of Data Acquisition and Processing

基　　金：淮安市科技支撑计划(工业)(HAG2011044;HAG2011045;HAG2013012)资助项目;淮安市重点研发计划(HAG2015034)资助项目

摘　　要：梯级水火电力系统的复杂性导致其调度优化问题难以使用经典的优化方法进行解决。本文通过变权重因子改进差分进化算法,提出新的方法解决其调度优化问题。采用启发式策略解决优化问题中的平衡约束。为了充分发挥能耗较低的火力发电机作用,设计基于优先列表的启发式策略,解决动态电力平衡约束。在满足平衡约束条件的过程中,部分个体的取值被改变,增加了群体的多样性,拓展了算法的搜索空间,进而得到更优的调度解决方案。仿真结果表明,本文提出的方案有效地解决了梯级水火电力系统的调度优化。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 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]