Optimal Coordinated Charging and Routing Scheme of Electric Vehicles in Distribution Grids: Real Grid Cases

The government policies and benefits led to the surge in penetration of Plug-in Hybrid Electric Vehicles (PHEVs) Battery (BEVs) into both public private sectors. Power Grids are dynamic with load generation varying, wide spread adoption PHEVs can jeopardize endanger operation security distribution grids due overloading congestion. This paper develops two optimization models, one is for routing algorithm find minimum energy consumption Personal Rapid Transit (PRT) system a collegiate environment. other model charging maximum number interfaced American (AEP) utility system. Mixed Integer Linear Programming (MILP) used determine schedules minimize power overloading. MILP also optimum schedule BEVs satisfy passenger demand transit Different strategies have been developed, their effects on voltage profile losses illustrated. We real-time data PRT algorithm. PHEV customers categorized different real-world Demand Response (DR) participants capable flattening curve. A time series simulation feeder test performed show feasibility proposed methods. Case studies AEP West Virginia University transportation were carried out. results demonstrate effectiveness our framework reducing peak satisfying while utilizing BEVs.