Abstract
Concentrated purchasing patterns of plug-in vehicles may result in localized distribution transformer overload scenarios. Prolonged periods of transformer overloading causes service life decrements, and in worst-case scenarios, results in tripped thermal relays and residential service outages. This analysis will review distribution transformer load models developed in the IEC 60076 standard, andapply the model to a neighborhood with plug-in hybrids. Residential distribution transformers are sized such that night-time cooling provides thermal recovery from heavy load conditions during the daytime utility peak. It is expected that PHEVs will primarily be charged at night in a residential setting. If not managed properly, some distribution transformers could become overloaded, leading toa reduction in transformer life expectancy, thus increasing costs to utilities and consumers. A Monte-Carlo scheme simulated each day of the year, evaluating 100 load scenarios as it swept through the following variables: number of vehicle per transformer, transformer size, and charging rate. A general method for determining expected transformer aging rate will be developed, based on the energyneeds of plug-in vehicles loading a residential transformer.
Original language | American English |
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Number of pages | 11 |
State | Published - 2011 |
Event | 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS25) - Shenzhen, China Duration: 5 Nov 2010 → 9 Nov 2010 |
Conference
Conference | 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS25) |
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City | Shenzhen, China |
Period | 5/11/10 → 9/11/10 |
NREL Publication Number
- NREL/CP-5400-48827
Keywords
- distribution transformer
- Monte Carlo methods
- PHEV
- plug-in hybrid
- smart grids