TY - GEN
T1 - Evaluation Method of Spatio-Temporal Flexibility as Renewable Energy Absorption Potential of a Group of Electric Buses Using Bus Operation Data
AU - Tomizawa, Yuki
AU - Ihara, Yuto
AU - Kodama, Yasuhiro
AU - Iino, Yutaka
AU - Hayashi, Yasuhiro
AU - Ikeda, Ohsei
AU - Yoshinaga, Jun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Electric vehicles (EVs), which are becoming increasingly popular in the transportation sector, are expected to bring significant changes to the power sector, in terms of power storage. Our previous research has focused on public transit buses, which had the advantages of certainty and centralized control. The moving characteristics of EVs are expected to enable more flexible use of renewable energy by charging at multiple locations. However, it is difficult to evaluate the power absorption adjustment potential, which is the range of the increase or decrease in charging at a specified location and time. Therefore, this study proposes a method for evaluating the potential of a group of electric buses from a spatio-temporal flexibility perspective using open-format bus operation data. A simulation example of a real city quantifies its potential and visualizes spatiotemporal flexibility. We have proposed a general-purpose method that can be used in other regions using the same format.
AB - Electric vehicles (EVs), which are becoming increasingly popular in the transportation sector, are expected to bring significant changes to the power sector, in terms of power storage. Our previous research has focused on public transit buses, which had the advantages of certainty and centralized control. The moving characteristics of EVs are expected to enable more flexible use of renewable energy by charging at multiple locations. However, it is difficult to evaluate the power absorption adjustment potential, which is the range of the increase or decrease in charging at a specified location and time. Therefore, this study proposes a method for evaluating the potential of a group of electric buses from a spatio-temporal flexibility perspective using open-format bus operation data. A simulation example of a real city quantifies its potential and visualizes spatiotemporal flexibility. We have proposed a general-purpose method that can be used in other regions using the same format.
KW - bus operation data
KW - charging schedule optimization
KW - electric buses
KW - mixed integer linear programming
KW - spatiotemporal flexibility
UR - http://www.scopus.com/inward/record.url?scp=85134894589&partnerID=8YFLogxK
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U2 - 10.1109/ISGT50606.2022.9817548
DO - 10.1109/ISGT50606.2022.9817548
M3 - Conference contribution
AN - SCOPUS:85134894589
T3 - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
BT - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022
Y2 - 24 April 2022 through 28 April 2022
ER -