Scheduling and performance analysis under a stochastic model for electric vehicle charging stations
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- 作者：Jerim Kima ; jerimkim@yongin.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Sung-Yong Sonb ; xtra@gachon.ac.kr" class="auth_mail" title="E-mail the corresponding author ; Jung-Min Leec ; jals8224@naver.com" class="auth_mail" title="E-mail the corresponding author ; Hyung-Tae Hac ; htha@gachon.ac.kr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Electric vehicles ; Battery charging station ; Stochastic modeling ; Charge scheduling ; Markov-modulated Poisson process ; Performance measures
- 刊名：Omega
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：66
- 期：part_PB
- 页码：278-289
- 全文大小：507 K
文摘
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We propose a practical stochastic model and charging algorithms for electric vehicles׳ battery charging station.
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A flexible Poisson process with a hidden Markov chain models the time-varying behavior of the electric vehicles׳ inbounding stream.
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We obtain the stationary distributions of steady states, waiting time distributions, and joint distributions of parking time and electricity charged under the stochastic model.
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Performance measures of the charging algorithms under the stochastic model are analytically derived.