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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Series: | Journal of Modern Power Systems and Clean Energy |
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Online Access: | http://link.springer.com/article/10.1007/s40565-018-0379-3 |
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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 |
_version_ |
1721484683271733248 |