Title: Virtual PHEV fleet study based on Monte Carlo simulation

Authors: Qiuming Gong; Shawn Midlam-Mohler; Vincenzo Marano; Giorgio Rizzoni

Addresses: Center for Automotive Research, Department of Mechanical Engineering, The Ohio State University, 930 Kinnear Rd., Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical Engineering, The Ohio State University, 930 Kinnear Rd., Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical Engineering, The Ohio State University, 930 Kinnear Rd., Columbus, OH 43212, USA ' Center for Automotive Research, Department of Mechanical Engineering, The Ohio State University, 930 Kinnear Rd., Columbus, OH 43212, USA

Abstract: The characteristics of electric power generation, transmission and distribution in the USA are such that experts have clearly identified local distribution as the most likely component of the chain to be adversely affected by unregulated Plug-in Hybrid Electric Vehicle (PHEV) charging. This paper presents a study performed to find the impact of PHEV charging on the local distribution transformer. Monte Carlo based mass simulation of highly clustered PHEVs was conducted based on statistical representations of some key factors like vehicle characteristics and vehicle usage patterns. The presented methodology may assist in determining the most suitable local/regional charging strategies for PHEVs.

Keywords: PHEVs; plug-in HEVs; hybrid electric vehicles; grid interaction; fleet study; Monte Carlo simulation; HEV charging; local distribution transformers; charging strategies; vehicle charging.

DOI: 10.1504/IJVD.2012.047388

International Journal of Vehicle Design, 2012 Vol.58 No.2/3/4, pp.266 - 290

Available online: 18 Jun 2012

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