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With the increasing popularity of Plug-in Hybrid Electric Vehicles (PHEVs), the public charging infrastructure construction such as charging station and PHEV charging enabled parking station has also appeared. The problem of scheduling large-scale of PHEVs in such centralized charging infrastructure should be considered to avoid adverse effects on the power system because of their uncontrolled charging. For example, lots of PHEVs' charging simultaneously at period of peak-load may pose a wide pressure on the grid's peak regulation. In this paper, an intelligent charging strategy which can decide each PHEV's charging power at each time step is proposed for a cluster of PHEVs in a parking station based on time of use (TOU) price. A mathematic optimal model with the muti-objective function (i.e. minimizing the charging cost and minimizing load variance) is also given considering several constraints such as the chargers' power limit and charging efficiency. The proposed strategy only considers PHEVs as controllable load, but it's also applicable to situations where other controllable load are added in the future. In this paper, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is used to solve the optimization problem and the matlab calculation results validate the effectiveness of the proposed strategy.
Tong et al. (Fri,) studied this question.