A Voltage Optimization Control Method for Distribution Network Based on the Collaboration of Electric Two-Wheeler Battery Swapping Cabinets and Distributed Energy Storage

This paper proposes a voltage optimization control method for distribution network (DN) by coordinating two-wheeler battery swapping cabinets (BSCs) with distributed energy storage (DES). The method aims to actively suppress voltage fluctuation caused by load variations and random renewable energy source outputs while ensuring battery swapping quality of service (QoS). Firstly, the schedulable capacity of the battery swapping cabinets is analyzed, considering constraints related to battery operation modes and battery swapping QoS. Secondly, a voltage optimization model for the DN is established based on the collaborative scheduling of the BSCs and DES. Then, to address the high-dimensional and heterogeneous nature of the decision variables in the optimization model, a reinforcement learning strategy based on deep deterministic policy gradient (DDPG) is proposed. Finally, simulations are carried out in IEEE 33-bus test system to validate the effectiveness of the proposed method in suppressing DN voltage fluctuations.