Energy Storage Capacity Allocation of Renewable Energy Side Based on SSA-RNN Algorithm

In order to optimize the storage capacity configuration to improve the utilization rate of renewable energy and improve the efficiency and reliability of system operation. This paper looks for effective ways to maximize the use of renewable energy resources. Combined with the requirements of power grid balance and stability, the sum of the cost of wind and solar energy resource waste and energy storage investment is taken as the objective function. Mathematical modeling and sparrow search algorithm optimization recurrent neural network are used to determine a reasonable energy storage capacity allocation scheme. At the same time, the energy storage scheduling strategy is designed, which can not only minimize the battery loss and deterioration, but also ensure that the system can meet the energy demand. The research results can provide guidance for the allocation of renewable energy storage capacity and promote the sustainable development of renewable energy power generation.