Optimal Scheduling of Wind-Solar-Water-Storage Complementary System Considering the Correlation of Wind-Solar Output
Due to the randomness and volatility of wind power,photovoltaic output and hydropower output,the un-certainty caused by its large-scale investment in the power grid has become a difficult point in the research of multi-energy complementary system.This paper constructs a wind-solar-water-storage complementary system with pumped storage power station as energy storage device.To fully consider the uncertainty and correlation of wind power and photovoltaic output,a Frank-Copula joint probability distribution function was used to generate typical scenario of wind power and photovoltaic output.Under the different output characteristics of the hydropower station in the wet,flat and dry period,the constraints of the system were comprehensively considered,and the optimal dispatching model was established with the goal of minimizing the output fluctuation of the complementary system,and the genetic algorithm was used to solve the model.Finally,the effectiveness of the model was verified by a numerical example.The results show that the volatili-ty of the system is reduced after the introduction of pumped storage power station,in which the volatility of the system is reduced by 12.65%in the flood period,reduced by 15.79%in flat water period,and reduced by 24.26%in dry period,indicating that the wind-solar-water-storage complementary system can reduce the influence of wind power,photovoltaic power generation and hydropower fluctuation on the power grid.
wind-solar-water-storage complementary systemFrank-Copulapumped storage power stationgenetic algorithmoptimal dispatching