Two⁃layer optimal charging control for electric vehicles in smart grids
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(1. Power Dispatching and Control Center, Guangdong Grid Co., Ltd., Guangzhou 510000, China;2. College of Electrical Engineering,Zhejiang University,Hangzhou 310058, China)

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This work is supported by Science and Technology Project of China Southern Power Grid(No. GDKJXM20180119)

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    Abstract:

    A large number of disordered plug in hybrid vehicles(PHEVs)are connected to the power grid, which will cause overheating and overload of the power grid transformer during peak hours, resulting in tripping or even large scale power outages.Therefore, the problem of coordinated charging of electric vehicles is a research hotspot and difficulty in the power grid. The problem of coordinated charging of plug in hybrid vehicles is firstly described as an optimization problem with constraints. Then a two layer optimal charging strategy is proposed to solve the optimization problem. In the first layer, the load curve of the low voltage trans formers(LVTs)of the grid is flattened and smoothed based on the demand side management;the second layer is based on the consistent iterative algorithm to make the overall charging of the plug inhybrid vehicle users. The cost is minimized while meeting the user’s charging needs. The proposed optimal charging strategy not only keeps the fluctuation of the power supply load curve of the power grid transformer to the minimum, but also realizes the minimum charging cost of each electric vehicle user and meets the charging demand of the user.

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白云霄,刘思捷,钱峰,刘俊磊,鲍威.智能电网中电动汽车双层最优充电策略[J].电力需求侧管理英文版,2019,21(6):59-64.

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History
  • Received:July 16,2019
  • Revised:July 20,2019
  • Adopted:
  • Online: December 02,2019
  • Published:
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