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Tie-line constrained distributed state estimation
Published in
2011
Volume: 33
   
Issue: 3
Pages: 569 - 576
Abstract
This paper presents an implementable distributed state estimation method for online analysis of power systems having multiple, geographically separated areas. Distributed state estimation apart from giving a faster solution, also improves the condition number of the resultant gain matrices. The method proposed here uses the conventional WLS estimator (Gauss-Newton method) with equality constraints forcing the tie line flows as calculated by the adjacent areas to be equal. Based on the topology of the network, the system is partitioned into multiple areas and a processor is assigned to each of these areas for solving the local state estimation problem. Simulations carried out on the IEEE 14, 30 and 118 bus systems show good convergence properties and improvement on the condition number of the gain matrices when compared with centralized algorithms. © 2010 Elsevier Ltd. All rights reserved.
About the journal
JournalInternational Journal of Electrical Power and Energy Systems
ISSN01420615
Open AccessNo
Concepts (21)
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    Bus systems
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    Centralized algorithms
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    CONDITION NUMBERS
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    Convergence properties
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    Distributed computing
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    Distributed state estimation
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    Equality constraints
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    GAIN MATRICES
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    GAUSS-NEWTON METHODS
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    MULTIPLE AREAS
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    ON-LINE ANALYSIS
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    Power systems
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    SPEEDUP
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    TIE LINE
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    Convergence of numerical methods
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    Distributed computer systems
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    Newton-raphson method
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    Number theory
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    Online systems
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    State estimation
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    Estimation