Voltage profile and excess subscription assessments indexes based on random selection of real Daily Loads Profiles (DLPs) on residential electric grid areas for a high penetration of Plug-in Hybrid Electric Vehicles (PHEVs)

Abstract

The Plug-in Hybrid Electric Vehicles (PHEVs) will strongly penetrate in the coming years. Based on domestics Daily Loads Profiles (DLPs) model's generator and probabilistic algorithm of PHEVs connections, this paper assesses the impact of PHEVs on a typical residential low voltage electric grid of 96 houses. For this purpose, two indexes are proposed in order to assess the limits of PHEVs penetration rate, the ηD for excess subscription contracts and ηV index for voltage drop. For the considered electric grid, a massive deployment of PHEVs without management increase the risk of excess subscriptions because index proposed decreases to 87% in summer and 78.8% in winter for houses without electric heating. The ηD index reaches a minimum of 76.5% in winter for houses with electric heating. Finally, the voltage profile of this electric grid is very impacted because the ηV index proposed decrease to 85.8% in summer and 81% in winter.