粒子群算法在水电站引水系统优化方面的应用  

Application of Particle Swarm Algorithm in the Diversion System Optimization of Hydropower Station

作　　者：顾晓亮[1] 徐得潜[1] 刘灿[1] 

机构地区：[1]合肥工业大学土木与水利工程学院,安徽合肥230009

出　　处：《水力发电》2009年第7期57-59,共3页Water Power

摘　　要：水电站引水管道直径的取值影响水电站工程的造价和发电效益,是水电站引水系统优化设计的重要内容。以引水管道直径为变量,水电站净收益最大为准则,建立了水电站引水系统优化模型,分别采用标准PSO算法和改进PSO算法进行计算。结果表明,这两种方法均可用于水电站引水系统的优化,改进PSO算法优于标准PSO算法。The diameter selection of diversion pipe of hydropower station would affect project cost and power generation benefit of hydropower station so it is very important in the optimization design of diversion system of hydropower station. Taking the diameter of diversion pipe as variable and the maximum of net benefit of hydropower station as criterion to set up the optimization model of diversion system of hydropower station, standard particle swarm optimization and modified particle swarm optimization were used to calculate. Results showed that both of methods could be applied in the optimization of diversion system of hydropower station, and the improved PSO is better than standard PSO.

关 键 词：水电站 净收益 引水系统优化 引水管道直径 标准PSO算法 改进PSO算法 

分 类 号：O22[理学—运筹学与控制论] TV742[理学—数学]