DocumentCode :
3196965
Title :
A framework for assessing the impact of plug-in electric vehicle to distribution systems
Author :
Xu, Le ; Marshall, Mike ; Dow, Luther
Author_Institution :
Quanta Technol., Raleigh, NC, USA
fYear :
2011
fDate :
20-23 March 2011
Firstpage :
1
Lastpage :
6
Abstract :
The popularity of plug-in electric vehicles (PEV) is growing quickly and is expected to take a large share in the future automobile market. The integration of PEV may significantly impact electric systems, especially distribution systems. Various PEV impact studies have been undertaken. However, due to the great uncertainty in many crucial assumptions and parameters, it is essential to have a framework that can accommodate various assumptions and can be easily adopted by utilities for their own studies to make mitigation plans. This paper proposes a PEV impact assessment framework, which utilizes cluster analysis to select a small set of representative circuits, carries out the impact study via Monte Carlo simulation on the representative circuits, and then extrapolates the feeder level impact to the system level. The impact study algorithm takes in assumed PEV charging scenarios and run load flow analysis to understand various potential impacts of PEV such as equipment overloading, losses, voltage profile, etc.
Keywords :
Monte Carlo methods; distribution networks; electric vehicles; load flow; Monte Carlo simulation; PEV impact assessment framework; automobile market; cluster analysis; distribution systems; equipment overloading; feeder level impact; load flow analysis; mitigation plans; plug-in electric vehicle; Batteries; Clustering algorithms; Integrated circuit modeling; Load modeling; Monte Carlo methods; Uncertainty; Vehicles; Monte Carlo simulation; distribution system; electric vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
Conference_Location :
Phoenix, AZ
Print_ISBN :
978-1-61284-789-4
Electronic_ISBN :
978-1-61284-787-0
Type :
conf
DOI :
10.1109/PSCE.2011.5772531
Filename :
5772531
Link To Document :
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