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Computer Research and Modeling, 2013, Volume 5, Issue 2, Pages 231–239
DOI: https://doi.org/10.20537/2076-7633-2013-5-2-231-239
(Mi crm395)
 

This article is cited in 2 scientific papers (total in 2 papers)

MODELS IN PHYSICS AND TECHNOLOGY

Comparative analysis of optimization methods for electrical energy losses interval evaluation problem

Yu. V. Koltsov, E. V. Boboshko

Kuban State University, Computer Technologies and Applied Mathematics Faculty, 149 Stavropolskaya st., Krasnodar, 350040, Russia
Full-text PDF (688 kB) Citations (2)
References:
Abstract: This article is dedicated to a comparison analysis of optimization methods, in order to perform an interval estimation of electrical energy technical losses in distribution networks of voltage 6–20 kV. The issue of interval evaluation is represented as a multi-dimensional conditional minimization/maximization problem with implicit target function. A number of numerical optimization methods of first and zero orders is observed, with the aim of determining the most suitable for the problem of interest. The desired algorithm is BOBYQA, in which the target function is replaced with its quadratic approximation in some trusted region.
Keywords: BOBYQA, optimization methods, electrical energy technical losses, distribution networks, BOBYQA.
Received: 02.04.2013
Document Type: Article
UDC: 51.74
Language: Russian
Citation: Yu. V. Koltsov, E. V. Boboshko, “Comparative analysis of optimization methods for electrical energy losses interval evaluation problem”, Computer Research and Modeling, 5:2 (2013), 231–239
Citation in format AMSBIB
\Bibitem{KolBob13}
\by Yu.~V.~Koltsov, E.~V.~Boboshko
\paper Comparative analysis of optimization methods for electrical energy losses interval evaluation problem
\jour Computer Research and Modeling
\yr 2013
\vol 5
\issue 2
\pages 231--239
\mathnet{http://mi.mathnet.ru/crm395}
\crossref{https://doi.org/10.20537/2076-7633-2013-5-2-231-239}
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  • https://www.mathnet.ru/eng/crm/v5/i2/p231
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:351
    Full-text PDF :416
    References:19
     
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