Electric vehicles with unique characteristics like lower noise, energy saving and pollution free due to reduction of carbon dioxide are consider to be the best choice for future automobile industry. The battery of electric vehicle (EV) must get recharged at charging stations when they are used for driving in urban area. Since electric charging stations will be used simultaneously by many EV. The existing distribution system might not be highly affected by the installation of charging stations if the numbers of electric vehicles are small. However, with the increase in the number of electric vehicles the characteristics of the electric vehicle charging patterns may have considerable impact on distribution systems which depends particularly on the electric vehicle charging location. There may be significant impacts like overloading and power losses in the system. These impacts could be mitigated by proper system planning and through strategic placement of Electric Vehicle Charging Station (EVCS) in the existing radial distribution network. In this research the optimal location EVCS are identified in radial distribution network and also the active power losses and system voltage profile are examined. This research proposes a heuristic algorithm called Particle Swarm Optimization (PSO) to optimize the IEEE 33 bus radial distribution system with electric vehicle charging stations. The prime objective is to place the EVCS at optimal location in existing radial distribution network by considering the real (active) power losses and also the voltage at the buses of the system.


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    Title :

    Optimal Placement of Electric Vehicle Charging Station by Considering Dynamic Loads in Radial Distribution System


    Contributors:


    Publication date :

    2022-12-13


    Size :

    4415351 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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