基于改进粒子群算法在尤溪流域水电站发电量最大短期优化调度的研究

Research on Max. Short-term Optimum Scheduling Based on Improved Particle Swarm Algorithm in Generated Energy of Youxi Watershed Hydropower Station

本文采用改进粒子群算法,结合尤溪流域梯级水电站的特点,以尤溪流域的街面、水东、雍口水电站为研究对象,对上述梯级水电站的短期优化调度问题进行了研究。分析了各水电站的自身特性,建立了发电量最大("以水定电"模型)为目标的短期优化调度模型,并以尤溪流域梯级电站某一日的数据进行计算并对计算结果进行对比,验证算法的优化结果,从而能够更好地指导实际水库的运行。

In this paper,with the improved particle swarm optimization （PSO） algorithm, according to the characteris- tics of the Youxi River cascade hydropower stations, in the Youxi River the Jiemian, Shuidong, Yongkou hydropower sta- tion as the research object, on the short - term optimal scheduling of cascade hydropower stations are studied. Its charac- teristics of hydropower station is analyzed,the establishment of a maximum power generation （＂ water determines elec- tricity ＂mode/） as the goa/of the short -term optimal scheduling model,and the Youxi River when this one day of cas- cade hydropower stations in the data calculated and compared with the result of calculation, validation algorithm optimiza- tion results, which can better guide the actual operation of the reservoir.