Fuzzy Logic Weight Based Charging Scheme for Optimal Distribution of Charging Power among Electric Vehicles in a Parking Lot

摘要: Electric vehicles (EVs) parking lots are representing significant charging loads for relatively a long period of time. Therefore, the aggregated load EVs may coincide with peak demand distribution power system and can greatly stress grid. The on grid be characterized by additional electricity introduction new that overwhelm both substations transmission systems. In order to avoid grid, lot operators required limit penetration level optimally distribute available among them. This affects EV owner’s quality experience (QoE) thereby reducing performance (QoP) operators. QoE is represents satisfaction owners; whereas, QoP measurement ratio total number EVs. study proposes fuzzy logic weight-based scheme (FLWCS) most appropriate in such way maximizes under operational constraints developed inference mechanism resolves uncertainties correlates independent inputs as state-of-charge, remaining duration into weighted values each time slot. Once weight all known, their operations controlled respected proposed FLWCS applied different capacities. simulation results reveal an improved comparing conventional first-come-first-served (FCFS) based scheme.