Workplace energy management with EVs by a novel distributed mixed-integer linear programming algorithm

The use of EV batteries as secondary energy resources has recently been attracting great attention due to their large capacities. This paper is concerned with the energy management of a workplace with the employees' EVs. We formulate such an energy management problem as a mixed-integer linear programming (MILP) by taking account of the arrival/departure status of the EVs and the benefits of the employees. Moreover, we propose a novel distributed algorithm that achieves a high-quality feasible solution to the MILP to consider the employees' privacy and decision-making. Through a numerical simulation, it turned out that the proposed method computes a better solution than the existing method (Camisa et al., IEEE TAC, 2022) at the price of high computational cost.