Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems

Analysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As...

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Main Authors: Iakubovskii Dmitrii, Krupenev Dmitry
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_06008.pdf
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spelling doaj-94c6adafec4a41c1afd2bd2474e9b1ca2021-04-02T16:16:32ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012090600810.1051/e3sconf/202020906008e3sconf_energy-212020_06008Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systemsIakubovskii Dmitrii0Krupenev Dmitry1Melentiev Energy Systems Institute of SB RASMelentiev Energy Systems Institute of SB RASAnalysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As tools for solving, software usually use commercial high-level modelling systems for mathematical optimization. However, in addition to the existing ready-made commercial solutions, the authors consider the effectiveness of optimization methods, as well as their parallelized versions, which can be independently implemented and applied as a solver for a specific problem. As a result, it was confirmed that these methods can be used to solve the problem, but they are less effective relative to a commercial solver. From the point of view of accuracy and resources spent on calculations, the most effective of the independently implemented methods turned out to be the parallelized method of differential evolution, which was confirmed by numerical experiments on small systems.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_06008.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Iakubovskii Dmitrii
Krupenev Dmitry
spellingShingle Iakubovskii Dmitrii
Krupenev Dmitry
Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
E3S Web of Conferences
author_facet Iakubovskii Dmitrii
Krupenev Dmitry
author_sort Iakubovskii Dmitrii
title Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
title_short Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
title_full Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
title_fullStr Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
title_full_unstemmed Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
title_sort analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2020-01-01
description Analysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As tools for solving, software usually use commercial high-level modelling systems for mathematical optimization. However, in addition to the existing ready-made commercial solutions, the authors consider the effectiveness of optimization methods, as well as their parallelized versions, which can be independently implemented and applied as a solver for a specific problem. As a result, it was confirmed that these methods can be used to solve the problem, but they are less effective relative to a commercial solver. From the point of view of accuracy and resources spent on calculations, the most effective of the independently implemented methods turned out to be the parallelized method of differential evolution, which was confirmed by numerical experiments on small systems.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/69/e3sconf_energy-212020_06008.pdf
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