Transportation electrification by means of increasing plug-in electric vehicle (PEV) adoption presents both opportunities and challenges to power system operators. Although the electrification of transportation offers power utilities the opportunity to increase total load served in an era of flat year-over-year electricity sales, the sustainable integration of PEVs over the long term requires improved understanding of overload risks on existing power distribution systems. In this context, we propose a probabilistic model to study the impacts of residential PEV charging load on distribution systems.


Utah EV Infrastructure Deployment


  • A. Palomino, M. Parvania, “Probabilistic Impact Analysis of Residential Electric Vehicle Charging on Distribution Transformers,” in Proc. 2018 North American Power Symposium (NAPS2018), Fargo, ND, September 9-11, 2018. DOI
  • R. Khatami, M. Parvania, A. Bagherinezhad, “Continuous-time Model Predictive Control for Real-time Flexibility Scheduling of Plugin Electric Vehicles,” in Proc. 10th IFAC Symposium on Control of Power & Energy Systems (CPES2018), Tokyo, Japan, September 4-6, 2018. DOI
  • R. Khatami, M. Parvania, K. Oikonomou, “Continuous-time Optimal Charging Control of Plug-in Electric Vehicles,” in Proc. IEEE Innovative Smart Grid Technologies (ISGT) Conference, Washington, DC, Feb. 2018. DOI
  • S. S. Hosseini, A. Badri, M. Parvania, “Smart Parking Lot to Minimize Residential Grid Losses Considering V2G Concept: A Customer-Based Approach,” in Proc. 9th International Energy Conference, Niroo Research Institute, Tehran, Iran, Feb. 2013.
  • S. S. Hosseini, A. Badri, M. Parvania, “The Plug-in Electric Vehicles for Power System Applications: The Vehicle to Grid (V2G) Concept,” in Proc. IEEE International Energy Conference and Exhibition (ENERGYCON2012), Florence, Italy, Sep. 9-12, 2012.


Department of Energy, Rocky Mountain Power, Idaho National Laboratory