Generator grouping cutset determination based on tree construction and constrained spectral clustering

With the advent of wide area monitoring protection and control, the new wide area control and protection applications emerge that require the identification of zones or islands in the network subject to certain specific requirements. The requirement of retaining certain buses in the same network zon...

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Published inJournal of engineering (Stevenage, England) Vol. 2018; no. 15; pp. 1309 - 1314
Main Authors Tyuryukanov, Ilya, Karagiannis Kaltsikis, Alexandros C, Popov, Marjan, van der Meijden, Mart A.M.M, Terzija, Vladimir
Format Journal Article
LanguageEnglish
Published The Institution of Engineering and Technology 01.10.2018
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Abstract With the advent of wide area monitoring protection and control, the new wide area control and protection applications emerge that require the identification of zones or islands in the network subject to certain specific requirements. The requirement of retaining certain buses in the same network zone or island appears in several power system protection applications, including intentional controlled islanding and parallel power system restoration. This study describes a new algorithm to define islands in power networks with respect to the specified bus grouping constraints. The method is based on the construction of tree subgraphs spanning the buses of each group, and its superior performance is demonstrated by a comparison with the two state-of-the-art methods from the literature.
AbstractList With the advent of wide area monitoring protection and control, the new wide area control and protection applications emerge that require the identification of zones or islands in the network subject to certain specific requirements. The requirement of retaining certain buses in the same network zone or island appears in several power system protection applications, including intentional controlled islanding and parallel power system restoration. This study describes a new algorithm to define islands in power networks with respect to the specified bus grouping constraints. The method is based on the construction of tree subgraphs spanning the buses of each group, and its superior performance is demonstrated by a comparison with the two state‐of‐the‐art methods from the literature.
Author Karagiannis Kaltsikis, Alexandros C
Terzija, Vladimir
Popov, Marjan
van der Meijden, Mart A.M.M
Tyuryukanov, Ilya
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10.1109/TPWRS.2014.2306756
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10.1145/1835804.1835877
10.1109/TPWRS.2013.2251015
10.1109/PSCC.2016.7541017
10.1049/cp.2016.1101
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Issue 15
Keywords power system measurement
power system protection applications
power system protection
graph theory
power distribution faults
distributed power generation
parallel power system restoration
power system faults
spectral clustering
power system stability
generator grouping cutset determination
trees (mathematics)
power networks
pattern clustering
tree construction
wide area monitoring protection
islands
buses
specified bus grouping constraints
specific requirements
network subject
wide area control
power system control
tree subgraphs
intentional controlled islanding
network zone
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Snippet With the advent of wide area monitoring protection and control, the new wide area control and protection applications emerge that require the identification of...
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StartPage 1309
SubjectTerms buses
distributed power generation
generator grouping cutset determination
graph theory
intentional controlled islanding
islands
network subject
network zone
parallel power system restoration
pattern clustering
power distribution faults
power networks
power system control
power system faults
power system measurement
power system protection
power system protection applications
power system stability
specific requirements
specified bus grouping constraints
spectral clustering
The 14th International Conference on Developments in Power System Protection (DPSP 2018)
tree construction
tree subgraphs
trees (mathematics)
wide area control
wide area monitoring protection
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Title Generator grouping cutset determination based on tree construction and constrained spectral clustering
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