基于PSO算法的水库防洪优化调度模型及应用  

Model of Flood Control Operation of Reservoir Based on Particle Swarm Optimization Algorithm and Its Application

作　　者：王国利[1] 梁国华[1] 彭勇[1] 吕涑琦[1] 

机构地区：[1]大连理工大学土木水利学院,辽宁大连116024

出　　处：《水电能源科学》2009年第1期74-76,68,共4页Water Resources and Power

基　　金：国家自然科学基金资助项目(50809011);国家"十一五"科技支撑基金资助项目(2006BAB14B05)

摘　　要：针对传统的交互式洪水调度方案生成方式存在的缺陷,由基于PSO算法的洪水优化调度模型,提出了有条件限制的随机自动生成方式,并利用罚函数法处理边界条件和其他非等式约束。实例应用结果表明,较之常规的动态规划法,改进后的PSO算法计算速度快、结果合理,为流域防洪优化调度提供了有效途径。To solve the problems of current interactive ways of flood scheduling, this paper studies optimal ways by PSO algorithm. As initial data of PSO algorithm affect convergence rate, this paper develops a new way of random automatically generation with conditional restrictions. While solving optimal equation, we use penalty function to process boundary conditions and other non-equality constraints. A case study shows that the computation speed of the improved PSO algorithm is bigger than dynamic planning method and the result is more reasonable. The improved PSO provides an effective way to optimize flood scheduling.

关 键 词：粒子群算法 初始微粒群 水库 防洪优化调度 

分 类 号：TV122[水利工程—水文学及水资源] TV697.12