ESS Scheduling and Control Approach for Factory-based EV Charging Station to Participate in Ancillary Services

Due to the global trend towards net zero emissions and increasing environmental awareness, some renewable energy sources (RES) and electric vehicles (EVs) have been integrated into the power system. An energy management system (EMS) can effectively integrate and coordinate distributed energy resource (DER) control in response to grid changes and impacts. Proper regulation of renewable energy and electric vehicles can reduce microgrid operating costs, which are critical for improving the safety and stability of power systems. Therefore, this paper proposes a three-stage optimal scheduling strategy from the perspective of a microgrid operator (MGO) to efficiently utilize resources. Based on an electric energy storage system (ESS), the traditional centralized optimal control method is compared with the method proposed to calculate the time and operating cost. It is verified that the method proposed can indeed execute an ancillary service (AS). In addition, the model predictive control (MPC) employed by the ESS can significantly improve the robustness of the system and reduce the occurrence of exceeding contract capacity. Copyright (c) 2023 The Authors.