Abstract
This paper studies the hierarchical classification of electric vehicles (EV) by analyzing the differences of charging behaviors of different types of EVs. According to the different proportions of conventionally-charged EVs and fast-charged EVs, four indexes (the increment of peak load, the duration of peak load, the maximum smoothing index of load curve and the average smoothing index) are proposed to evaluate the impact on the distribution network. Then a method is established to configure the proportion of EV in different charging methods. Finally, based on the field data of a distribution network and the IEEE-34 node example, the optimal proportion of EV in different charging methods are made combined with the Monte Carlo simulation of charging load. Results show that suitable ratio of EV with different charging methods can make the load curve smoother and the grid's difference between peak and valley loads decrease significantly.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
