Study on Capacity Allocation of GW Electrochemical Energy Storage Power Station Based on Time Series Production Simulation

Aiming at the GW large-scale power grid system with electrochemical energy storage and compressed air energy storage, a capacity allocation method of GW electrochemical energy storage power station based on time series production simulation is proposed. The wind and light output of 8760 hours is simulated by Markov chain analysis method, and then the mathematical model of hybrid energy storage and the economic optimal objective function are established, and the improved particle swarm optimization algorithm is used to solve the optimization. Finally, the model is simulated and calculated by the new energy production simulation software (REPS), and the optimal configuration combination of mixed energy storage economy is obtained in the case of new energy consumption rate ≥ 95%. The results show that the proposed method can effectively simulate the annual output curve, promote the consumption of new energy and improve the economy of operation.