전기전자학회논문지 (Journal of IKEEE)

  • 제22권2호
  • /
  • Pages.455-459
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  • 2018
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  • 1226-7244(pISSN)
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  • 2288-243X(eISSN)
한국전기전자학회 (Institute of Korean Electrical and Electronics Engineers)
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Charging Control Strategy of Electric Vehicles Based on Particle Swarm Optimization

  • Boo, Chang-Jin (Dept. of Electrical Engineering, Jeju International University)
  • 투고 : 2018.06.25
  • 심사 : 2018.06.29
  • 발행 : 2018.06.30
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초록

In this paper, proposed a multi-channel charging control strategy for electric vehicle. This control strategy can adjust the charging power according to the calculated state-of-charge (SOC). Electric vehicle (EV) charging system using Particle Swarm Optimization (PSO) algorithm is proposed. A stochastic optimization algorithm technique such as PSO in the time-of-use (TOU) price used for the energy cost minimization. Simulation results show that the energy cost can be reduced using proposed method.

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참고문헌

  1. Jeju Special Self-governing Province, "Carbon Free Island Jeju by 2030" Policy Report 2012.
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  3. Kennedy, J., Eberhart, R., "Swarm Intelligence,"Morgan Kaufmann Publishers, Inc. 2001.
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