Multi-objective Coordinated Optimal Scheduling Considering Electric Vehicles and Air-conditioning Loads(CICED 2024)

With the yearly increase of air conditioning (AC) usage in summer, the electric power system is facing great challenges. Meanwhile, electric vehicles (EVs), as an emerging power load, play an important role in alleviating the energy crisis. However, the disordered charging of large-scale EVs poses a significant threat to the safe and stable operation of the power system. To address this problem, a coordinated optimal scheduling method considering EV and AC loads is proposed. First, the EV charging load model and the AC load model are constructed; then, the coordinated optimal scheduling model is established with the objectives of minimizing the grid compensation cost and reducing the peak-to-valley difference of loads. Finally, the simulation results show that the method can effectively balance the grid load, reduce the pressure of electricity consumption during peak hours, and satisfy the electricity demand of users.