Probabilistic Assessment of Electric Vehicle Charging Demand Impact on Residential Distribution Transformer Aging Conference Paper uri icon


  • © 2018 IEEE. This paper proposes a probabilistic approach to quantify the impacts imposed on transformer hottest-spot temperature and loss-of-life by plug-in electric vehicles (PEV) charging demand. A residential complex with 8 households connected to a 20kVA distribution transformer is considered. Monte Carlo simulation method is applied to take into account the stochastic behavior of PEVs, residential demand, photovoltaic generation and ambient temperature. Based on historical data, different aspects such as the impact of different PEV penetration levels, PEV charging power, and the potential benefits the connection of photovoltaic generation in the area can bring are considered. The obtained results provide a better understanding of the effects produced by PEV demand on transformer aging, and can be used to decide under what scenarios there may be risk of accelerated transformer loss-of-life.

author list (cited authors)

  • Affonso, C. M., & Kezunovic, M.

citation count

  • 10

publication date

  • June 2018