Charging Control Strategy of Electric Vehicles Based on Particle Swarm Optimization
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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.
Abstract
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.
참고문헌 (5)
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- J.-B. Park, "A Particle Swarm Optimization for Economic Dispatch With Nonsmooth Cost Functions", IEEE Transactions on Power Systems, 20(1), pp.34~42 (2005), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
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