Joint Optimal Allocation and Scheduling for Electric Buses with Vehicle-to-Grid Regulation Service

Electric Bus (EB), as a special type of electric vehicle (EV), can be regarded as a large mobile storage in the city. With large batteries installed, EBs are capable of providing frequency regulation service to the local power grid of the city. In this paper, a novel framework for joint optimal allocation and scheduling for EBs with V2G regulation service is studied. First, the optimal allocation and scheduling problem is proposed as a mixed-integer quadratic programming (MIQP) problem. Second, by using the Lagrangian dual decomposition method, a distributed algorithm is devised to solve this problem. The simulation results show that both the optimal allocation to balance EB demand in the city and scheduling for V2G regulation service can be achieved in an effective manner. In addition, with more EBs participated in the system, the power fluctuations of local city power grid can be further flattened.