Abstract
Unlike previous papers that hypothesize specific inputs and present fixed outputs for optimal charging of electric vehicles, this paper offers a multi-objective probabilistic charging algorithm based on the point estimate method (PEM) for aggregation of plug-in hybrid electric vehicles and investigates its impacts on the distribution system. In other words, the uncertainty related to the outputs of different charging algorithms is determined using the PEM. Moreover, from the perspective of an aggregator, simultaneous optimization of the minimum charging cost and minimum charging time is proposed to satisfy the customers. The proposed algorithm is optimized through multi-objective scheduling and applying distribution network constraints. Finally, the proposed method is applied to the IEEE-37 node test feeder, and simulation results are presented to illustrate its performance.
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