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Simulating the household plug-in hybrid electric vehicle distribution and its electric distribution network impacts
Authors:Xiaohui Cui  Hoe Kyoung Kim  Cheng Liu  Shih-Chieh Kao  Budhendra L. Bhaduri
Affiliation:1. New York Institute of Technology, Manhattan, NY 10023, United States;2. Department of Urban Planning, Dong-A University, 840, Hadan2-Dong, Saha-Gu, Busan 604-714, Republic of Korea;3. Oak Ridge National Laboratory, Oak Ridge, TN 37831, United States;1. Thin Film Centre, Scottish Universities Physics Alliance (SUPA), University of the West of Scotland, Paisley PA1 2BE, UK;2. Thin Film Solutions Ltd. Block 7, West of Scotland Science Park, Kelvin Campus, Maryhill Rd, Glasgow G20 0SP, UK;1. Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany;2. Institut für Theoretische Physik, Goethe Universität, Max-von-Laue-Str. 1, 60438 Frankfurt am Main, Germany;3. GSI Helmholtzzentrum für Schwerionenforschung GmbH, Planckstr. 1, 64291 Darmstadt, Germany;4. Bogolyubov Institute for Theoretical Physics, Kiev 03680, Ukraine;1. Department of Electrical Engineering, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Belo Horizonte, MG 31270-901, Brazil;2. Programa de Pós Graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Brazil;3. Department of Electrical Engineering, Universidade Federal de Minas Gerais, Brazil;4. Department of Mathematics, Universidade Federal de Minas Gerais, Brazil
Abstract:This paper presents a multi agent-based simulation framework for modeling spatial distribution of plug-in hybrid electric vehicle ownership at local residential level, discovering “plug-in hybrid electric vehicle hot zones” where ownership may quickly increase in the near future, and estimating the impacts of the increasing plug-in hybrid electric vehicle ownership on the local electric distribution network with different charging strategies. We use Knox County, Tennessee as a case study to highlight the simulation results of the agent-based simulation framework.
Keywords:
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