Application of Distribution Transformer Thermal Life Models to Electrified Vehicle Charging Loads Using Monte-Carlo Method: Preprint

Research output: Contribution to conferencePaper

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 languageAmerican English
Number of pages11
StatePublished - 2011
Event25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS25) - Shenzhen, China
Duration: 5 Nov 20109 Nov 2010

Conference

Conference25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium and Exhibition (EVS25)
CityShenzhen, China
Period5/11/109/11/10

NREL Publication Number

  • NREL/CP-5400-48827

Keywords

  • distribution transformer
  • Monte Carlo methods
  • PHEV
  • plug-in hybrid
  • smart grids

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