TY - GEN
T1 - Electric Buses-Based Resilient Distribution Network Multi-Period Power Supply Restoration Strategy
AU - Zou, Wenqiu
AU - Lu, Hongrui
AU - Li, Gengfeng
AU - Li, Minghao
AU - Xu, Mingqian
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - When disasters leading to electricity shortages, electric buses can interact with the power system through bus-to-grid technology, serving as post-disaster emergency resources. Therefore, this paper designs a resilient distribution network multi-period power supply restoration strategy based on electric buses, which can improve the speed of post-disaster power supply restoration. Firstly, based on the coupling of the power grid and the transportation network, travel chains are used to characterize the operation of electric buses before the disaster, providing data for post-disaster recovery; secondly, typhoon scenario is generated based on the fault probability of lines and towers; then, the scheduling of electric buses is optimized using a time-space network to derive a multi-period power supply restoration strategy for electric buses; finally, a 33-node distribution network case study is designed to verify the effectiveness of the proposed method.
AB - When disasters leading to electricity shortages, electric buses can interact with the power system through bus-to-grid technology, serving as post-disaster emergency resources. Therefore, this paper designs a resilient distribution network multi-period power supply restoration strategy based on electric buses, which can improve the speed of post-disaster power supply restoration. Firstly, based on the coupling of the power grid and the transportation network, travel chains are used to characterize the operation of electric buses before the disaster, providing data for post-disaster recovery; secondly, typhoon scenario is generated based on the fault probability of lines and towers; then, the scheduling of electric buses is optimized using a time-space network to derive a multi-period power supply restoration strategy for electric buses; finally, a 33-node distribution network case study is designed to verify the effectiveness of the proposed method.
KW - electric buses
KW - extreme disasters
KW - resilience of electric power systems
KW - time-space network
UR - https://www.scopus.com/pages/publications/85212058644
U2 - 10.1109/CICED63421.2024.10754368
DO - 10.1109/CICED63421.2024.10754368
M3 - 会议稿件
AN - SCOPUS:85212058644
T3 - China International Conference on Electricity Distribution, CICED
SP - 623
EP - 629
BT - Proceedings - 11th China International Conference on Electricity Distribution
PB - IEEE Computer Society
T2 - 11th China International Conference on Electricity Distribution, CICED 2024
Y2 - 12 September 2024 through 13 September 2024
ER -