Abstract
In order to solve the problems of grid connection and consumption of photovoltaic power generation and make the most of the regulation capacity of cascaded hydropower stations, a short-term optimal scheduling model for cascaded hydro-photovoltaic hybrid power generation system with the minimum total fluctuation of photovoltaic and hydropower output as the objective function is established. The improved particle swarm algorithm is applied to solve the model to overcome the shortcomings of traditional particle swarm algorithm easily falling into a local optimal solution. The feasibility and validity of the model and solution method are verified by taking cascaded hydropower stations and Meixing photovoltaic power stations in Xiaojinchuan River Basin of of Sichuan, China as research objects. The results show that the optimized scheduling model established can effectively suppress photovoltaic fluctuations and improve the stability of photovoltaic grid connection, and the improved particle swarm algorithm can effectively enhance the optimization capability.
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