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Electric Vehicle Charging Cost Optimization Based on DC Microgrid Coordinated Control

Release date:2024-11-19  Number of views:222   Amount of downloads:110   DOI:10.19457/j.1001-2095.dqcd25241

      Abstract:With the proposal of the "dual carbon" goal,the application of EVs is becoming increasingly

widespread. In order to further reduce the charging cost of EVs so as to easing the charging cost burden of EV

users,a coordinated control strategy for EV charging DC microgrid was proposed,which includes photovoltaic

(PV),energy storage system(ESS)and power grid. This strategy can coordinate the input and output states of

different ports based on the power relationship between each port,reduce the fluctuation of EV charging load

through peak shaving and valley filling thus lowering the charging cost. Firstly,the control strategies of PV and

ESS were introduced. Then,Monte Carlo algorithm was used to predict the charging load of EVs. Next,six modes

and four voltage bands during microgrid operating was divided,mode switching condition and coordinated control

strategies between each port were proposed. Subsequently,the feasibility of coordinated control was verified in

Matlab/Simulink and Yuankuan semi-physical simulation platform. Finally,by calculating EV charging costs under

five typical weather scenarios and comparing them with other literature,it was found that the proposed strategy can reduce charging costs by up to 28.1%,its significant effect in reducing costs was demonstrated.


      Key words:electric vehicle(EV);DC microgrid;coordinated control




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