摘要
提出了基于粒子群优化算法求解梯级单目标优化调度问题的一般算法结构,该算法通过计算时段库水位的变化范围,把梯级优化调度问题转化为无约束的优化问题处理,使得算法具有稳定、高效的收敛性能.通过对三峡梯级发电优化调度问题的计算,表明该算法是求解梯级优化调度问题的一种有效的手段.
Based on improved Particle Swarm Optimization （PSO） , a general algorithm frame is proposed for the purpose of solving reservoir optimal operation. The proposed algorithm employs water level as the decision variable in PSO,and converts the problem of solving reservoir optimal regulation into unconstrained optimization problem by calculating the water level range of reservoirs in each period of time, which has stable and efficient convergence. The optimal scheduling is presented to illustrate the effectiveness of the proposed algorithm.
出处
《湖北民族学院学报（自然科学版）》
CAS
2006年第3期239-242,共4页
Journal of Hubei Minzu University(Natural Science Edition)
基金
国家自然科学基金资助项目(90225057)
关键词
粒子群优化算法
优化调度
梯级
particle swarm optimization
optimal operation
cascade
