TY - JOUR
T1 - Resilience Evaluation and Enhancement for Island City Integrated Energy Systems
AU - Jiang, Tao
AU - Sun, Tingkai
AU - Liu, Guodong
AU - Li, Xue
AU - Zhang, Rufeng
AU - Li, Fangxing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - Extreme natural hazards, such as hurricanes or earthquakes, have a high probability of threatening energy supply security and causing high-order contingencies to island city-integrated energy systems (IC-IESs). To better evaluate and enhance resilience, a novel approach is proposed in this work for IC-IESs. The resilience of an IC-IES is analyzed from both the system level and the component level. At the system level, the impacts of extreme natural disasters are quantified. At the component level, the importance of individual components is analyzed through pre-failure and post-failure indices. The pre-failure index identifies the system's weak links before an energy interruption, and the post-failure index determines the optimal repair strategy to restore the service. The proposed indices are solved by the impact increment method (IIM), which significantly improves computational efficiency without much affecting result accuracy. Numerical simulation studies are conducted on the modified Barry Island IES and IES E123-G48-H32 test systems. The results validate the effectiveness of the proposed approach.
AB - Extreme natural hazards, such as hurricanes or earthquakes, have a high probability of threatening energy supply security and causing high-order contingencies to island city-integrated energy systems (IC-IESs). To better evaluate and enhance resilience, a novel approach is proposed in this work for IC-IESs. The resilience of an IC-IES is analyzed from both the system level and the component level. At the system level, the impacts of extreme natural disasters are quantified. At the component level, the importance of individual components is analyzed through pre-failure and post-failure indices. The pre-failure index identifies the system's weak links before an energy interruption, and the post-failure index determines the optimal repair strategy to restore the service. The proposed indices are solved by the impact increment method (IIM), which significantly improves computational efficiency without much affecting result accuracy. Numerical simulation studies are conducted on the modified Barry Island IES and IES E123-G48-H32 test systems. The results validate the effectiveness of the proposed approach.
KW - Extreme natural hazards
KW - impact increment method (IIM)
KW - island city integrated energy systems (IC-IESs)
KW - optimal repair strategy
KW - resilience evaluation
UR - http://www.scopus.com/inward/record.url?scp=85126301969&partnerID=8YFLogxK
U2 - 10.1109/TSG.2022.3157856
DO - 10.1109/TSG.2022.3157856
M3 - Article
AN - SCOPUS:85126301969
SN - 1949-3053
VL - 13
SP - 2744
EP - 2760
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 4
ER -