Battery Energy Storage Station Group Schedulin Strategy Considering Battery Life Loss

The large-scale group application of battery energy storage station (BESS) is pivotal in supporting the implementation of carbon neutrality policy. BESS group can promote the grid connection and local consumption of renewable energy. However, excessive battery life loss will compromise the safety and economics of BESS group. In order to ensure the safe and efficient operation, a BESS group scheduling strategy considering battery life loss is proposed in this work. Firstly, the battery life loss is quantified based on the state-of-health (SOH) degradation curve. Then, an BESS group optimization scheduling model is constructed as quadratic programming (QP) problem, considering both state-of-charge (SOC) equalization and battery life loss. Finally, the BESS group scheduling strategy is demonstrated by the numerical simulation of a real-world BESS group. The simulation results prove that the proposed strategy can increase the safety and operational efficiency of BESS group.