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.
EV charging scheduling for cost and greenhouse gases emissions minimization
2017-04-01
667561 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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