TY - JOUR
T1 - Online Electric Vehicle Charging Strategy in Residential Areas with Limited Power Supply
AU - Yoon, Dong Hee
AU - Seo, Hyoju
AU - Lee, Jungwon
AU - Kim, Yongtae
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - Electric vehicle (EV) demand is considerably increasing, aided by battery technology development and government policy support. Therefore, it is necessary to consider various charging infrastructures and secure sufficient power to support this. In several cities or countries, a large population lives in a small area, and the supply of large residential complexes such as apartments is common. Given that old apartments may not have sufficient power capacity, it is challenging to secure additional power for charging EVs. In particular, power shortages can intensify during high power usage, such as the summer season, and may become an obstacle to the spread of EVs. Therefore, an efficient charging strategy for residential complexes must be established under the condition of limited power supply. This study proposes two scheduling methods to optimally charge EVs in residential complexes considering limited power supply. The proposed scheduling algorithms are thoroughly examined through extensive simulations with parking data collected from real situations and are demonstrated to be effective for online EV charging systems.
AB - Electric vehicle (EV) demand is considerably increasing, aided by battery technology development and government policy support. Therefore, it is necessary to consider various charging infrastructures and secure sufficient power to support this. In several cities or countries, a large population lives in a small area, and the supply of large residential complexes such as apartments is common. Given that old apartments may not have sufficient power capacity, it is challenging to secure additional power for charging EVs. In particular, power shortages can intensify during high power usage, such as the summer season, and may become an obstacle to the spread of EVs. Therefore, an efficient charging strategy for residential complexes must be established under the condition of limited power supply. This study proposes two scheduling methods to optimally charge EVs in residential complexes considering limited power supply. The proposed scheduling algorithms are thoroughly examined through extensive simulations with parking data collected from real situations and are demonstrated to be effective for online EV charging systems.
KW - Electric vehicle
KW - battery
KW - limited power supply
KW - online charging scheduling
KW - parking lot
KW - residential building
UR - http://www.scopus.com/inward/record.url?scp=85179820013&partnerID=8YFLogxK
U2 - 10.1109/TSG.2023.3339788
DO - 10.1109/TSG.2023.3339788
M3 - Article
AN - SCOPUS:85179820013
SN - 1949-3053
VL - 15
SP - 3141
EP - 3151
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 3
ER -