TY - GEN
T1 - A decentralized electric vehicle charge scheduling scheme for tracking power profiles
AU - Nimalsiri, Nanduni
AU - Smith, David
AU - Ratnam, Elizabeth
AU - Mediwaththe, Chathurika
AU - Halgamuge, Saman
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Electric vehicles (EVs) are flexible electric loads whose consumption can be shifted over time, and thus controlled charging of EVs is possible. This paper proposes a decentralized control scheme called 'DECSaT' for charge scheduling of EVs with the objective of tracking an arbitrary power profile while accounting for heterogeneity in EV charging specifications and also uncertainty in EV arrival times. More specifically, we aim to align the charge profiles of EVs to follow a microgrid's forecast energy generation profile, while guaranteeing that the EV charging requirements are satisfied by the intended departure times. DECSaT is decentralized because each EV computes its charge schedule locally, using the information received from the microgrid operator. Interestingly, DECSaT is applicable for charging EVs at both variable rates and discrete rates, making it suitable for practical operation. Numerical simulations considering EV charging in a microgrid confirm the effectiveness of DECSaT in terms of power profile tracking.
AB - Electric vehicles (EVs) are flexible electric loads whose consumption can be shifted over time, and thus controlled charging of EVs is possible. This paper proposes a decentralized control scheme called 'DECSaT' for charge scheduling of EVs with the objective of tracking an arbitrary power profile while accounting for heterogeneity in EV charging specifications and also uncertainty in EV arrival times. More specifically, we aim to align the charge profiles of EVs to follow a microgrid's forecast energy generation profile, while guaranteeing that the EV charging requirements are satisfied by the intended departure times. DECSaT is decentralized because each EV computes its charge schedule locally, using the information received from the microgrid operator. Interestingly, DECSaT is applicable for charging EVs at both variable rates and discrete rates, making it suitable for practical operation. Numerical simulations considering EV charging in a microgrid confirm the effectiveness of DECSaT in terms of power profile tracking.
KW - Coordinated charging
KW - Decentralized control
KW - Electric vehicle
KW - Microgrid
KW - Power profile tracking
UR - http://www.scopus.com/inward/record.url?scp=85086231838&partnerID=8YFLogxK
U2 - 10.1109/ISGT45199.2020.9087797
DO - 10.1109/ISGT45199.2020.9087797
M3 - Conference contribution
T3 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
BT - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020
Y2 - 17 February 2020 through 20 February 2020
ER -