Evaluation on intelligent energy management system for PHEVs/PEVs using Monte Carlo method

The large penetration of Plug-in Hybrid Electric Vehicles (PHEVs) and Plug-in Electric Vehicles (PEVs) brings up many technical problems that needs to be addressed and reassured on. There is also a need for in-depth study on PHEVs in term of Smart Grid environment. In this paper, we introduced the existing testbed of a Large-scale PHEV charging infrastructure developed by FREEDM/ATEC center to achieve the optimal power allocation. Then we applied Monte Carlo method to simulate the myriad real-world scenarios at a municipal parking deck. Case studies were performed to analyze the system performance of intelligent charging algorithms for a large amount of PHEVs using Monte Carlo simulation. Accordingly, the simulation results characterized the optimization performance in terms of the optimal electricity consumption and the PHEV battery State-of-Charge at plug-out.