Day-ahead Optimal Scheduling of Active Distribution Network Considering EV Response to Dynamic Time-sharing Pricing

In order to avoid the impact of disordered charging and discharging of electric vehicles on the power system, a day-ahead optimal scheduling model for active distribution network considering dynamic time-sharing pricing in response to electric vehicles was proposed. Firstly, the load model, photovoltaic model and electric vehicle model of optimal dispatching day are established. Secondly, on the premise that all charging piles participate in grid dispatching, an optimal scheduling model is established with the minimum load fluctuation rate, minimum network loss and minimum voltage deviation as the objective function. Then, the second-order oscillating particle swarm optimization algorithm was used to solve the model, and the real-time rolling charging and discharging electricity price on the optimal scheduling day was calculated by using the optimal charging and discharging power obtained from the model. Finally, an example is given to the actual distribution system to verify the effectiveness of the proposed method.