TY - GEN
T1 - Risk based identification of cascading chains based on generalized line outage distribution factors
AU - Dai, Yuanyu
AU - Xue, Yusheng
AU - Chen, Guo
AU - Xu, Yan
AU - Xu, Zhao
AU - Dong, Z. Y.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2013
Y1 - 2013
N2 - In the past decades, many countries have suffered from serious blackouts which demonstrate catastrophic consequences caused by rare events in power systems. To address the emerged issues, the contingency screening and ranking should consider the risks of potential failures instead of the associated probabilities of following-up failures alone. However, it is computationally infeasible to evaluate all possible cascading failure sequences beforehand. Thus, fast risk assessment method should be developed to enhance computation efficiency while maintaining acceptable accuracy. In this paper, based on distribution factors and pre-contingency power flow conditions, a novel risk index is proposed to quickly assess the consequences of possible cascading failures. Then creditable cascading failure sequences can be determined and ranked according to the risk index. In addition, case studies on the IEEE-118 bus system show that the computational efficiency of the proposed cascading assessment method can be greatly enhanced with satisfactory accuracy, indicating a high potential of practical implementation. © 2013 IEEE.
AB - In the past decades, many countries have suffered from serious blackouts which demonstrate catastrophic consequences caused by rare events in power systems. To address the emerged issues, the contingency screening and ranking should consider the risks of potential failures instead of the associated probabilities of following-up failures alone. However, it is computationally infeasible to evaluate all possible cascading failure sequences beforehand. Thus, fast risk assessment method should be developed to enhance computation efficiency while maintaining acceptable accuracy. In this paper, based on distribution factors and pre-contingency power flow conditions, a novel risk index is proposed to quickly assess the consequences of possible cascading failures. Then creditable cascading failure sequences can be determined and ranked according to the risk index. In addition, case studies on the IEEE-118 bus system show that the computational efficiency of the proposed cascading assessment method can be greatly enhanced with satisfactory accuracy, indicating a high potential of practical implementation. © 2013 IEEE.
KW - Cascading chain
KW - Distribution factors
KW - Risk
UR - https://www.scopus.com/pages/publications/84904467477
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84904467477&origin=recordpage
U2 - 10.1109/ISDEA.2013.531
DO - 10.1109/ISDEA.2013.531
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9781479927913
T3 - Proceedings - 2013 4th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2013
SP - 553
EP - 556
BT - Proceedings - 2013 4th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2013
PB - IEEE Computer Society
T2 - 4th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2013
Y2 - 6 November 2013 through 7 November 2013
ER -