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Upravlenie Bol'shimi Sistemami, 2015, Issue 54, Pages 166–178 (Mi ubs803)  

This article is cited in 4 scientific papers (total in 4 papers)

Reliability and Diagnostics of Control Systems and Tools

Applying average dual estimations in algorithm for optimal reliability of electric power system

D. S. Krupenev, S. M. Perzhabinskii

Melentiev Energy Systems Institute of SB RAS
Full-text PDF (816 kB) Citations (4)
References:
Abstract: We suggest an algorithm to optimize reliability of an electric power system. The algorithm uses the averaged dual estimates of power generation and power flow constraints. Average values of dual estimates are found from the analysis of electric power system reliability. The developed algorithm is based on the enumeration of alternative scenarios of system evolution, while the analysis of average values of dual estimations helps to limit the number of scenarios considered. We also present the results of numeric simulations.
Keywords: electric power system, adequacy, reliability analysis, reliability optimization.
English version:
Automation and Remote Control, 2017, Volume 78, Issue 12, Pages 2241–2247
DOI: https://doi.org/10.1134/S0005117917120128
Bibliographic databases:
Document Type: Article
UDC: 621.311.1
BBC: 31.27-01
Language: Russian
Citation: D. S. Krupenev, S. M. Perzhabinskii, “Applying average dual estimations in algorithm for optimal reliability of electric power system”, UBS, 54 (2015), 166–178; Autom. Remote Control, 78:12 (2017), 2241–2247
Citation in format AMSBIB
\Bibitem{KruPer15}
\by D.~S.~Krupenev, S.~M.~Perzhabinskii
\paper Applying average dual estimations in algorithm for optimal reliability of electric power system
\jour UBS
\yr 2015
\vol 54
\pages 166--178
\mathnet{http://mi.mathnet.ru/ubs803}
\elib{https://elibrary.ru/item.asp?id=23769374}
\transl
\jour Autom. Remote Control
\yr 2017
\vol 78
\issue 12
\pages 2241--2247
\crossref{https://doi.org/10.1134/S0005117917120128}
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  • https://www.mathnet.ru/eng/ubs/v54/p166
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Upravlenie Bol'shimi Sistemami
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    Abstract page:153
    Full-text PDF :72
    References:41
     
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