Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton

Abstract This paper presents a novel integrated framework for simulating the charging load of an electric vehicle charging station. The framework is built based on the cellular automaton model, including five modules: vehicle generation, charging station, lane change, speed update and boundary clear...

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Main Authors: Yue XIANG, Zipeng LIU, Jichun LIU, Youbo LIU, Chenghong GU
Format: Article
Language:English
Published: IEEE 2018-02-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:http://link.springer.com/article/10.1007/s40565-018-0379-3
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spelling doaj-20967fdf6c96423984af9cca1827940f2021-05-03T03:24:05ZengIEEEJournal of Modern Power Systems and Clean Energy2196-56252196-54202018-02-016481682010.1007/s40565-018-0379-3Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automatonYue XIANG0Zipeng LIU1Jichun LIU2Youbo LIU3Chenghong GU4College of Electrical Engineering and Information Technology, Sichuan UniversityState Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong UniversityCollege of Electrical Engineering and Information Technology, Sichuan UniversityCollege of Electrical Engineering and Information Technology, Sichuan UniversityDepartment of Electronic and Electrical Engineering, University of BathAbstract This paper presents a novel integrated framework for simulating the charging load of an electric vehicle charging station. The framework is built based on the cellular automaton model, including five modules: vehicle generation, charging station, lane change, speed update and boundary clear. The proposed framework can effectively stimulate the system dynamics of the traffic system and charging power process in a charging station. Case studies have verified its feasibility and effectiveness.http://link.springer.com/article/10.1007/s40565-018-0379-3Charging stationCharging loadTraffic flowSimulationCellular automaton
collection DOAJ
language English
format Article
sources DOAJ
author Yue XIANG
Zipeng LIU
Jichun LIU
Youbo LIU
Chenghong GU
spellingShingle Yue XIANG
Zipeng LIU
Jichun LIU
Youbo LIU
Chenghong GU
Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
Journal of Modern Power Systems and Clean Energy
Charging station
Charging load
Traffic flow
Simulation
Cellular automaton
author_facet Yue XIANG
Zipeng LIU
Jichun LIU
Youbo LIU
Chenghong GU
author_sort Yue XIANG
title Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
title_short Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
title_full Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
title_fullStr Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
title_full_unstemmed Integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
title_sort integrated traffic-power simulation framework for electric vehicle charging stations based on cellular automaton
publisher IEEE
series Journal of Modern Power Systems and Clean Energy
issn 2196-5625
2196-5420
publishDate 2018-02-01
description Abstract This paper presents a novel integrated framework for simulating the charging load of an electric vehicle charging station. The framework is built based on the cellular automaton model, including five modules: vehicle generation, charging station, lane change, speed update and boundary clear. The proposed framework can effectively stimulate the system dynamics of the traffic system and charging power process in a charging station. Case studies have verified its feasibility and effectiveness.
topic Charging station
Charging load
Traffic flow
Simulation
Cellular automaton
url http://link.springer.com/article/10.1007/s40565-018-0379-3
work_keys_str_mv AT yuexiang integratedtrafficpowersimulationframeworkforelectricvehiclechargingstationsbasedoncellularautomaton
AT zipengliu integratedtrafficpowersimulationframeworkforelectricvehiclechargingstationsbasedoncellularautomaton
AT jichunliu integratedtrafficpowersimulationframeworkforelectricvehiclechargingstationsbasedoncellularautomaton
AT youboliu integratedtrafficpowersimulationframeworkforelectricvehiclechargingstationsbasedoncellularautomaton
AT chenghonggu integratedtrafficpowersimulationframeworkforelectricvehiclechargingstationsbasedoncellularautomaton
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