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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Analysis of Chain of Events in Major Historic Power Outages

HUANG, T. See more information about HUANG, T. on SCOPUS See more information about HUANG, T. on IEEExplore See more information about HUANG, T. on Web of Science, VORONCA, S. L. See more information about  VORONCA, S. L. on SCOPUS See more information about  VORONCA, S. L. on SCOPUS See more information about VORONCA, S. L. on Web of Science, PURCAREA, A. A. See more information about  PURCAREA, A. A. on SCOPUS See more information about  PURCAREA, A. A. on SCOPUS See more information about PURCAREA, A. A. on Web of Science, ESTEBSARI, A. See more information about  ESTEBSARI, A. on SCOPUS See more information about  ESTEBSARI, A. on SCOPUS See more information about ESTEBSARI, A. on Web of Science, BOMPARD, E. See more information about BOMPARD, E. on SCOPUS See more information about BOMPARD, E. on SCOPUS See more information about BOMPARD, E. on Web of Science
 
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Download PDF pdficon (729 KB) | Citation | Downloads: 997 | Views: 4,766

Author keywords
decision support systems, pattern analysis, network coding, power system security, risk analysis

References keywords
power(17), systems(10), system(7), stability(5), energy(5), electric(5), analysis(5), reliability(4), link(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-08-31
Volume 14, Issue 3, Year 2014, On page(s): 63 - 70
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.03008
Web of Science Accession Number: 000340869800008
SCOPUS ID: 84907369367

Abstract
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Contemporary power systems are facing increasing intricate conditions that have never been considered when initially designing the infrastructure, such as malicious threats, accommodating smart grids, etc. As a consequence, blackouts albeit seldom but stubbornly keep appearing from time to time the world around, and demonstrate their devastating capability to create vast damage on both power systems and the society at large. Patterns of the blackout starting from the first triggering events to the system final status have emerged. A framework of a coding system was proposed in this paper in order to capture the common feature in the system evolution during the development of cascades. Cascades in a blackout can be tracked by a chain of events with the help of the codes. It is facile to adopt the framework to build up a knowledge base of blackouts. By applying the proposed framework to 31 selected historic blackouts, most frequent events, effects and origins are identified; the findings can provide useful information for grid designers and security experts for ranking the most imminent issues in their study.


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Cited-By CrossRef

[1] Complex Network-Based Transmission Network Vulnerability Assessment Using Adjacent Graphs, Zang, Tianlei, Gao, Shibin, Huang, Tao, Wei, Xiaoguang, Wang, Tao, IEEE Systems Journal, ISSN 1932-8184, Issue 1, Volume 14, 2020.
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[CrossRef]

[2] A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids, Borisoglebsky, Dmitry, Varga, Liz, Hosseini, Seyedmohsen, Complexity, ISSN 1076-2787, Issue 1, Volume 2019, 2019.
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[3] Electrical Network Operational Vulnerability Evaluation Based on Small-World and Scale-Free Properties, Wei, Xiaoguang, Gao, Shibin, Huang, Tao, Wang, Tao, Zang, Tianlei, IEEE Access, ISSN 2169-3536, Issue , 2019.
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[4] Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory, Zang, Tianlei, Wang, Zian, Wei, Xiaoguang, Zhou, Yi, Wu, Jiale, Zhou, Buxiang, Energies, ISSN 1996-1073, Issue 18, Volume 16, 2023.
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[5] Power System Event Ranking Using a New Linear Parameter-Varying Modeling with a Wide Area Measurement System-Based Approach, Abolhasani Jabali, Mohammad, Kazemi, Mohammad, Energies, ISSN 1996-1073, Issue 8, Volume 10, 2017.
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[6] Analysis of Resilience Situations for Complex Engineered Systems – the Resilience Holon, Freeman, Rachel, Varga, Liz, IEEE Systems Journal, ISSN 1932-8184, Issue 2, Volume 16, 2022.
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[8] Security-constrained Transmission Expansion Planning with N-k Security Criterion and Transient Stability, Zhou, Jing, Zhang, Heng, Cheng, Haozhong, Liu, Dundun, Zhang, Shenxi, Li, Gang, Zhang, Xiaohu, Electric Power Systems Research, ISSN 0378-7796, Issue , 2023.
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[11] Complex Network-Based Cascading Faults Graph for the Analysis of Transmission Network Vulnerability, Wei, Xiaoguang, Gao, Shibin, Huang, Tao, Bompard, Ettore, Pi, Renjian, Wang, Tao, IEEE Transactions on Industrial Informatics, ISSN 1551-3203, Issue 3, Volume 15, 2019.
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[12] A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies, Wang, Tao, Wei, Xiaoguang, Wang, Jun, Huang, Tao, Peng, Hong, Song, Xiaoxiao, Cabrera, Luis Valencia, Pérez-Jiménez, Mario J., Engineering Applications of Artificial Intelligence, ISSN 0952-1976, Issue , 2020.
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[13] Power Transmission Line Fault Detection and Diagnosis Based on Artificial Intelligence Approach and its Development in UAV: A Review, Wong, Shen Yuong, Choe, Clifford Wei Chang, Goh, Hui Hwang, Low, Yik Wen, Cheah, Dennis Yang Shen, Pang, Chiia, Arabian Journal for Science and Engineering, ISSN 2193-567X, Issue 10, Volume 46, 2021.
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[14] A Review on Simulation Models of Cascading Failures in Power Systems, Guo, Zhenping, Sun, Kai, Su, Xiaowen, Simunovic, Srdjan, iEnergy, ISSN 2771-9197, Issue 4, Volume 2, 2023.
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[15] Probabilistic Vulnerability Assessment of Transmission Lines Considering Cascading Failures, Liu, Yanchen, Peng, Minfang, Gao, Xingle, Zhang, Haiyan, Processes, ISSN 2227-9717, Issue 11, Volume 9, 2021.
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[16] An improved fault location method for distribution networks exploiting emerging LV smart meters, Estebsari, Abouzar, Pons, Enrico, Bompard, Ettore, Bahmanyar, Alireza, Jamali, Sadegh, 2016 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), ISBN 978-1-5090-2370-7, 2016.
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[20] A novel fault location method for distribution systems using phase-angle jumps based on neural networks, Gordill, Juan David, Celeita, David F., Ramos, Gustavo, 2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS), ISBN 978-1-6654-0918-6, 2022.
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