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IEEE Transactions on Smart Grid
Article . 2019 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Screening Hidden N-$k$ Line Contingencies in Smart Grids Using a Multi-Stage Model

Authors: Liang Che; Xuan Liu; Zuyi Li;
Abstract
This paper addresses an issue in the contingency screening that the probabilities of some high-order N- k contingencies involving multiple element failures may be significantly underestimated in the traditional screening processes. Considering the severe consequences of these hidden contingencies, this practice would impose a potential risk to the system operations. In this paper, we propose a multi-stage approach to screen out these N- k contingencies and reveal their hidden probabilities. The approach is formulated as a bi-level mixed integer linear programming problem and validated by simulations on the IEEE 14-bus and 118-bus systems.
Related Organizations
- Hunan Women'S University China (People's Republic of)
- Illinois Institute of Technology United States
- Hunan Women'S University China (People's Republic of)
- Illinois Institute of Technology United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
20
Top 10%
Top 10%
Top 10%
Fields of Science (3) View all
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Energy Research