Optimization of a Scheme for New Energy Planning in a Hydropower Plant Area Based on an Improved Sparrow Search Algorithm

The development of a certain scale of wind and photovoltaic energy based on hydropower station has an important practical significance for realizing the scale development of renewable energy in the region of hydropower station. In this paper, a mathematical model based on the new energy planning site and investment parameters in the hydropower station area is established, with the goal of minimizing the initial investment cost of the program. The improved sparrow search algorithm is used to solve the problem, with helping to jump out of the local optimal solution. A certain hydroelectric power station area is taken as an example, this hydropower station and wind and photovoltaic energy data are obtained and analyzed, and the planning scheme combined wind, photovoltaic and hydropower to minimize the investment cost is proposed.