Abstract
This paper designs a tour scheduler for electric vehicles (EVs) which want to visit multiple places including V2G (Vehicle-to-Grid)-enabled buildings. During a tour, an EV consumes energy, has its battery charged, and even provides (or sell) redundant electricity to a microgrid, which can avoid consuming expensive peak-rate energy from the power vendor. To find an efficient schedule for a set of user-selected destinations, relevant criteria on tour length, waiting time, and earned reward are calculated to evaluate the fitness of each schedule. Moving EVs can achieve temporal and spatial load shift, necessarily allowing collaboration between independent microgrids separated mainly due to security reasons and technical problems. With the definition of fitness functions, our scheme traverses the search space consisting of feasible tour schedules. The performance measurement result shows that the sales amount maximization improves the amount of electricity sold to a grid by up to 85.6 %, compared with the waiting time minimization scheme. Additionally, tour length minimization generally achieves reasonable performance due to the reduced tour length and battery consumption.
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