Abstract

With the increasing electric vehicles (EVs), the power grid will be impacted for charging the EVs. In order to manage EVs charging, there is a need for an intelligent charging strategy that supports EVs charging while preventing the power grid from overloading. In this paper, an algorithm is proposed for optimal charging of the batteries based on priority. The priority determination rules are calculated according to source voltage, current state-of-charge (SOC), battery capacity and battery current. The proposed algorithm considers real-time price (RTP) in order to minimize charging cost without increasing peak load. Intelligent charging strategies are needed in order to minimize electric vehicles charging cost without violating the operational constraints of the electric power grid with an extra burden. This work aims to design an optimal scheduling algorithm for managing electric vehicles charging using droop control.

Full Text
Paper version not known

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.