Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

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

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  • Received:
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  • Online: July 20,2018
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