Abstract

AbstractThe 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.KeywordsElectric vehicleGrid to vehicle (G2V)Charging strategyVoltage profileDistribution network

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.