Research on Hydro-solar Complementary Optimization Strategy Based on Improved Genetic Algorithm
In order to promote photovoltaic grid connection and improve the efficiency of hydro-solar complementary power stations,an optimized scheduling strategy using hydroelectric power generation to compensate for photovoltaic power generation was proposed.Firstly,the basic principle of hydro-solar complementary power generation was analyzed,and an optimized scheduling mathematical model for hydro-solar complementary power generation was established.The traditional genetic algorithm was improved and the model was solved to obtain the optimal power generation strategy.The results show that the hydro-solar complementary system can significantly improve the overall peak shaving ability on the basis of well following the planned power generation curve in total output,and improve the genetic algorithm to effectively update the systems computational speed and accuracy,thus providing a better operating strategy for the hydro-solar complementary power station,making it more economical and coordinated.