水力发电2024，Vol.50Issue(1)：53-57,5.
水库发电优化调度改进粒子群算法应用
Application of Improved Particle Swarm Optimization in Reservoir Scheduling Optimization
摘要
Abstract
In order to further enhance the application effectiveness of particle swarm optimization (PSO) algorithm in the scheduling of hydropower generation the generation of initial population the mutation mode and the local searching ability of the basic PSO are improved in which the uniform design concept and chaos concept are introduced into particle swarm optimization algorithm and the nonlinear adaptive design of inertia weight is carried out.Based on the improved PSO algorithm a scheduling optimization model for a hydropower station is established and the calculation results of improved PSO algorithm are also compared with that of standard particle swarm optimization algorithm and traditional dynamic programming respectively.The results indicate that the PSO algorithm performs well in the optimization of reservoir power generation scheduling and the improved PSO algorithm has higher practical value by considering the convergence ability stability and computational time of PSO algorithm comprehensively.关键词
水库调度/优化调度/粒子群算法/算法改进Key words
reservoir scheduling/scheduling optimization/particle swarm algorithm/algorithm improvement分类
建筑与水利引用本文复制引用
刘宇,许新宇,李晓澜,薛凯竟,张宇..水库发电优化调度改进粒子群算法应用[J].水力发电,2024,50(1):53-57,5.基金项目
国家自然科学基金资助项目(5220090976) （5220090976）
