Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33428
Title: Optimal dispatch of plug-in hybrid electric vehicles to reduce the load fluctuations on distribution networks
Authors: Wang, G
Wen, F
Xu, Z 
Wong, KP
Keywords: Distribution network
Genetic algorithm
Optimal dispatch
Plug-in hybrid electric vehicles
Issue Date: 2013
Publisher: IEEE
Source: 2013 IEEE Power and Energy Society General Meeting (PES), 21-25 July 2013, Vancouver, BC, p. 1-5 How to cite?
Abstract: Rapid development of plug-in hybrid electric vehicles brings new challenges to the security and economy of power systems. As a clean and environmental friendly technology, the electric vehicle presents the future solution of transportation with high potentials. Currently rapid deployment of electric vehicles is taking place in many countries. However, uncoordinated charging of many plug-in hybrid electric vehicles (PHEVs) may cause serious impacts on the security and economy of power system operation. The paper proposes a new dispatch model to reduce the fluctuations of PHEV charging loads, based on the probabilistic analysis of charging behaviors of PHEVs and other demands in power systems. Genetic algorithm method is adopted to solve this optimization problem. The feasibility and efficiency of the developed stochastic dispatch model is demonstrated with a 33-bus distribution network.
URI: http://hdl.handle.net/10397/33428
ISBN: 
ISSN: 1944-9925
DOI: 10.1109/PESMG.2013.6672583
Appears in Collections:Conference Paper

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