An Energy Storage Configuration Method for New Energy Power Station Balancing Consumption and Economy

New energy power stations will face problems such as random and complex occurrence of different scenarios, cross-coupling of time series, long solving time of traditional multi-objective optimization algorithm, slow convergence speed, and easy to fall into local solutions when allocating energy storage in consideration of promoting consumption and actively supporting scenario requirements. Based on this, this paper proposed a new energy storage configuration method suitable for multiple scenarios. Utilize the output data of new energy power stations, day-ahead power forecast data and grid frequency data. Extract typical working condition curve of energy storage demand. Build the optimized configuration model of energy storage. An improved multi-objective particle swarm optimization algorithm is proposed. Realize the optimal allocation of energy storage in new energy power stations. Finally, the effectiveness and practicability of the proposed method are verified by the simulation analysis of the actual new energy power station.