An Energy Management Method of Active Distribution Network with Integrated Electric Vehicles and Distributed Wind Power

Abstract

An energy management method of active distribution network (ADN) with integrated electric vehicles (EVs) and distributed wind power is proposed. Firstly, based on the travel demands of EV users, an intelligent charging and discharging decision model for EVs is constructed and is further processed by piecewise linearization method. Secondly, based on the branch flow model and the second-order conic relaxation (SOCR), the non-convex mathematical model formed by the EVs and the distribution network system is transformed into a convex problem to ensure the global optimal solution of the model, and the ADN unified mathematical model with integrated EVs is further constructed. As a flexible and controllable unit, the aggregated EVs is integrated into the ADN with distributed wind power and can actively participate in energy management of ADN. Finally, considering the ADN scenarios with integrated EV and distributed wind power, the impact of EVs on the economic and secure operation of ADN under different charging strategies, penetration rates, weight coefficients and users' expected state of charge (SOC) is further analyzed. The results show that the proposed method based on the unified ADN model can make full use of the flexibility of EV charging and discharging behaviors. While ensuring the travel demands of users, use EVs to track wind power output, promote the local accommodation of distributed wind power, and reduce the network loss of ADN, and further ensure the economic and secure operation of ADN.