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This paper proposes a flexible framework for scheduling and real time operation of electric vehicle charging stations (EVCS). The methodology applies a multi-objective evolutionary particle swarm optimization algorithm (EPSO) for electric vehicles (EVs) scheduling based on a day-ahead scenario. Then, real time operation is managed based on a rule-based (RB) approach. Two types of consumer were considered: EV owners with a day-ahead request for charging (scheduled consumers, SCh) anddoi:10.3390/en14051370 doaj:bc7d61b32e3d4fd4933108d831e5ee8f fatcat:7l23wq2mpbgvxms2i6hijrh46a