This paper investigates the potential impact of a fleet of electric vehicles charging on the cost of electricity generation, greenhouse gas emissions (GHG) and power system demand through low voltage residential demand-side management (DSM). The proposed optimisation algorithm is used to shift electric vehicles charging loads to minimize the combined impact of three key parameters: financial, environmental, and demand variability. The results show that it is effective to reshape the power demand and reduce electricity cost and GHG emissions without affecting people's driving patterns.


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    Title :

    EV charging scheduling for cost and greenhouse gases emissions minimization


    Contributors:


    Publication date :

    2017-04-01


    Size :

    667561 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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