基于改进PSO调度模型的水电站发电量分析

Generation Analysis of Power Station by the Optimum Operation Model Based on Improved PSO

鉴于以往水库优化调度的求解精度受制于离散的密度的不足，引入可连续域寻优的粒子群算法，建立基于PSO水库优化调度模型，并针对粒子群算法易出现的收敛性差和处理约束问题困难等问题，提出了改进措施，并应用到水电站的发电量分析中。

The particle swarm optimization （PSO）, which can search for the optimal solution on the continued space, is introduced to reservoirs optimal operation to solve the searching limitation caused by discreteness. On the basis of it, reservoirs optimal operation PSO model is built and some improved methods are given to solve the insufficiencies about astringency and constraint in PSO model. The model is applied to generation value analysis of power station and the result shows the efficiency and feasibility of the PSO.