基于小生境和交叉选择粒子群算法的水库优化调度研究  

Study on optimal operation of reservoir based on the niche and cross-selection operators'particle swarm optimization algorithm

作　　者：陈田庆[1,2] 解建仓[1] 张刚[1] 李建勋[1,3] 岳新利[1,3] 

机构地区：[1]西安理工大学水资源研究所 [2]陕西省地产开发服务总公司,陕西西安710075 [3]西安理工大学经济与管理学院,陕西西安710048

出　　处：《西北农林科技大学学报（自然科学版）》2011年第7期201-206,共6页Journal of Northwest A&F University(Natural Science Edition)

基　　金：国家自然科学基金项目(50979088;51079120);国家"863"计划项目(2006AA01A126);陕西省国际合作重点项目(2008KW-32)

摘　　要：【目的】针对传统优化方法在水库优化调度计算中存在的"维数灾"和早熟等问题,建立新的优化算法模型。【方法】在PSO算法的基础之上,引入小生境和交叉选择算子,对寻优过程中的个体历史最好位置进行多样化处理,提出基于小生境和交叉选择算子的粒子群(NCSPSO)算法,建立基于NCSPSO算法的水库优化调度模型,并给出具体求解步骤,最后将该方法和基本PSO算法对比应用于具体水库的调度计算中。【结果】实例优化调度计算表明,NCSPSO算法计算时间较短,寻优能力强,用其进行的水库优化调度决策可以有效提高水库的总发电量。【结论】NCSPSO算法为水库优化调度提供了一条新途径。【Objective】 Aiming at the disadvantages of classical optimization algorithm for reservoir optimal operation like curse of dimensionality and early maturity,a new optimization model was established.【Method】 Particle swarm optimization algorithm based on the niche,crossover and selection operators（NCSPSO）,which carry out diversification treatment with best position of particle in history in the process of optimization,was presented in this paper.The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail.The mathematical model was applied to specific reservoir.【Result】 Example calculations show that this optimal method has higher efficiency and performance and the method to process the optimal operation of reservoirs decision-making can improve the total generating capacity of the reservoir enhanced energy.【Conclusion】 NCSPSO will be a new method to solve the problem of reservoir optimal operation.

关 键 词：水库调度 粒子群 小生境 交叉选择 

分 类 号：TV697.11[水利工程—水利水电工程]