A distributed framework for optimal operation of EV aggregators problem

The increasing integration of electric vehicles (EVs) into power systems is boosting future potentials for the smart grid due to the capability of storing and discharging electricity when it is required. Hence, this paper proposes a novel method to interact between two parking lots (PLs), while they exchange electricity. Each EV aggregator makes decision to trade electricity with the wholesale market (WM), selling electricity to EV owners as well as the amount of exchanging electricity with the other PL. Since EV aggregators share at least information with other agents, a distributed optimization model has to be used to manage each entity, independently, considering its local constraints. In this work, the alternating direction method of multipliers (ADMM) is utilized to coordinate the exchanging electricity between PLs. Numerical results reveal the effectiveness of the proposed distributed method to solve the EV aggregators problem by making the optimal decision in each hour.