Abstract
The impact of electric vehicles (EVs) on the voltages seen on a low voltage (LV) feeder are investigated in this paper. The Monte Carlo method was used to understand the impact of diversity of demand on LV feeders and especially the effect of uncontrolled human behavior. A statistical model of an EV was established to generate random high-resolution EV charging demand profiles. Moreover, both the balanced and unbalanced scenarios, with different EV charging locations, were investigated in a simulation study. The results were analyzed and used to illustrate how time of use tariffs can alleviate voltage drops and imbalance.
| Original language | English |
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| Title of host publication | host publication |
| Publication status | Published - 27 Jul 2014 |
| Event | IEEE Power and Energy Society General Meeting - Gaylord National Resort & Convention Center, Natioanl Harbor, Maryland, USA Duration: 27 Jul 2014 → 1 Aug 2014 |
Conference
| Conference | IEEE Power and Energy Society General Meeting |
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| City | Gaylord National Resort & Convention Center, Natioanl Harbor, Maryland, USA |
| Period | 27/07/14 → 1/08/14 |
Keywords
- Voltage imbalance
- electric vehicle
- Monte Carlo methods
- demand side response
- low voltage network
