The adoption rate of electric vehicles (EVs) has been increased in recent times, as they are more environment friendly over the conventional internal combustion-based vehicles. Hence, upcoming years will foresee larger penetration of EVs in the distribution network (DN) which will lead to new challenges for distribution network operators (DNOs). Charging requirements for EVs depending upon travel behavior, significantly change the load pattern in DN. This paper presents different probability distribution functions (PDFs) to predict the uncertain travel behavior of EVs. The Monte Carlo simulation is used to simulate EV load demand considering important attributes of traveling patterns. The estimated load demand of EVs over different time durations of a day has been considered at different nodes of the standard 33-nodes radial distribution network. Time series power flow has been carried out to assess the impact of EVs integration on the performance of DN. Significant drops in voltage profile at all nodes and an increase in losses in DN are observed after the EV integration which guides the distribution network operator to take corrective actions.


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    Title :

    Performance Assessment of Distribution Network with Electric Vehicle Penetration


    Additional title:

    stud. in Infrastructure & Control


    Contributors:


    Publication date :

    2021-12-14


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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