Multi-Agent System for Electric Vehicle Charging Scheduling in Parking Lots

As the number of electric vehicles (EVs) increases, massive numbers EVs have started to gather in commercial parking lots charge and discharge, which may significantly impact operation grid. There also be a deviation departure time charged discharged lots. This can lead insufficient battery energy when leave lot. study uses simulation software AnyLogic build lot multi-agent model, agent-based model fully reflect autonomy individual EVs. Based on this we propose an EV scheduling algorithm. The algorithm contains two main agents. first is power distribution center agent (PDCA), used coordinate output photovoltaic (PV), storage system (ESS), station (DS) solve problem grid overload. second (SCA), due EVs' random departures. SCA includes stages. In stage, priority proposed emphasize fairness charging. genetic accurately determine interval between charging discharging ensure maximum benefit owner. Finally, experiments are conducted AnyLogic, results demonstrate superiority over classical