DOI:10.1007/s40565-018-0379-3 |
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Integrated traffic-power simulation framework for electric vehiclecharging stations based on cellular automaton |
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Net amount: 794 |
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Author:
Yue XIANG1 , Zipeng LIU2
, Jichun LIU1
, Youbo LIU1
,
Chenghong GU3
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Author Affiliation:
1. College of Electrical Engineering and Information
Technology, Sichuan University, Chengdu 610065, China
2. State Key Laboratory of Electrical Insulation and Power
Equipment, School of Electrical Engineering, Xi’an Jiaotong
University, Xi’an 710049, China
3. Department of Electronic and Electrical Engineering,
University of Bath, Bath BA2 7AY, UK
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Foundation: |
This work was supported by National Natural
Science Foundation of China (No. 51377111), Fundamental Research
Funds for the Central Universities (No. YJ201654) and Open
Research Subject of Key Laboratory of Sichuan Power Electronics
Energy-saving Technology and Devices (No. szjj2017-052). |
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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. |
Keywords: |
Charging station, Charging load, Traffic flow,
Simulation, Cellular automaton |
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Online Time:2018/07/20 |
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