Norway holds highest per capita Electric vehicle (EV) shares globally. To meet the recharge demand from such large EVs fleet, fast charging infrastructure is essential. But, the fast charging stations are unable to fulfill the charging request of EV owners due to restricted grid power supply. Peak shaving has partially addressed this issue with a solar PV-Battery energy storage system (BESS) integrated Microgrid (MG) configuration. But, maintaining the reliability and stability of Microgrid (MG) against intermittent EV arrivals during peak load of the grid is a critical objective. To address this issue a Micro hydro generator-Solar PV-BESS integrated DC MG with iterative predictive control (ITPC) algorithm is proposed in this paper. With the prediction of EV load arrivals on iteration basis, the proposed algorithm operates the Micro hydro generator in such a way that EV load is supplied under the peak load condition with optimal dependency on BESS. The performance of the proposed strategy evaluated against the real time EV load data of Oslo as a case study. The proposed strategy achieves 9.3% improved fall in DC-link voltage and 67.735% reduced depth of discharge of BESS.


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    Title :

    Predictive Control Strategy for DC Microgrid Integrated EV Charging Stations in Oslo




    Publication date :

    2024-07-31


    Size :

    961557 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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