Identification of Vulnerable Lines in Smart Grid Systems Based on Affinity Propagation Clustering

In smart grid systems, vulnerable lines may lead to cascading failures which can cause large-scale blackouts. Successfully detecting vulnerable lines can increase the stability of the smart grid systems and reduce the risk of cascading failures. By modeling a smart grid system into a directed graph,...

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Veröffentlicht in:	IEEE internet of things journal Jg. 6; H. 3; S. 5163 - 5171
Hauptverfasser:	Gao, Qinghe, Wang, Yawei, Cheng, Xiuzhen, Yu, Jiguo, Chen, Xi, Jing, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.06.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Affinity Affinity propagation (AP) Algorithms cascading failure Clustering Clustering algorithms Complex networks Electrical properties factor graph Failure analysis Graph theory Internet of Things machine learning max-sum algorithm Parameter identification Partitioning algorithms Power system faults Power system protection Propagation Smart grid Smart grids
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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