Optimal location of an electrical vehicle charging station in a local microgrid using an embedded hybrid optimizer

Abstract This paper presents an investigation into finding an optimal location for a planned Electrical Vehicle Charging Station (EVCS) with coordinated charging within the Microgrid installation at Wroclaw University of Science and Technology. The study uses a hybrid optimization algorithm built to combine the speed of MATPOWER and the search capabilities of a meta-heuristic optimization algorithm based on an extended ant colony which serves as the Energy Management System (EMS) of the Microgrid. The location obtained is based on an analysis of energy savings calculated on representative days of the year obtained through clustering and placing the EVCS on different nodes of the Microgrid consisting of distributed energy sources.

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