Optimum Arrangement of Reactive Power Sources While Using Genetic Algori

Reduction of total losses in distribution electricity supply network is considered as an important measure which serves for improvement of efficiency of electric power supply systems. This objective can be achieved by optimum distribution of reactive power sources in proper places of distribution el...

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Main Authors: A. M. Gashimov, R. N. Rakhmanov, S. T. Rakhmanov
Format: Article
Language:Russian
Published: Belarusian National Technical University 2010-02-01
Series:Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika
Online Access:https://energy.bntu.by/jour/article/view/444
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author A. M. Gashimov
R. N. Rakhmanov
S. T. Rakhmanov
author_facet A. M. Gashimov
R. N. Rakhmanov
S. T. Rakhmanov
author_sort A. M. Gashimov
collection DOAJ
description Reduction of total losses in distribution electricity supply network is considered as an important measure which serves for improvement of efficiency of electric power supply systems. This objective can be achieved by optimum distribution of reactive power sources in proper places of distribution electricity supply network. The proposed methodology is based on application of a genetic algorithm. Total expenses for installation of capacitor banks, their operation and also expenses related to electric power losses are considered as an efficiency function which is used for determination of places with optimum values of capacitor bank power. The methodology is the most efficient for selection of optimum places in the network where it is necessary to install capacitor banks with due account of their power control depending on a switched-on load value in the units.
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spelling doaj.art-0973b6d1a82649c8807d9b94be06b3c82023-03-13T07:41:46ZrusBelarusian National Technical UniversityIzvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika1029-74482414-03412010-02-01011825437Optimum Arrangement of Reactive Power Sources While Using Genetic AlgoriA. M. Gashimov0R. N. Rakhmanov1S. T. Rakhmanov2Институт физики НАН Азербайджана,Азербайджанский научно-исследовательский и проектно-изыскательский институт энергетики, ВР–АзербайджанАзербайджанский научно-исследовательский и проектно-изыскательский институт энергетики, ВР–АзербайджанReduction of total losses in distribution electricity supply network is considered as an important measure which serves for improvement of efficiency of electric power supply systems. This objective can be achieved by optimum distribution of reactive power sources in proper places of distribution electricity supply network. The proposed methodology is based on application of a genetic algorithm. Total expenses for installation of capacitor banks, their operation and also expenses related to electric power losses are considered as an efficiency function which is used for determination of places with optimum values of capacitor bank power. The methodology is the most efficient for selection of optimum places in the network where it is necessary to install capacitor banks with due account of their power control depending on a switched-on load value in the units.https://energy.bntu.by/jour/article/view/444
spellingShingle A. M. Gashimov
R. N. Rakhmanov
S. T. Rakhmanov
Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika
title Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
title_full Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
title_fullStr Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
title_full_unstemmed Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
title_short Optimum Arrangement of Reactive Power Sources While Using Genetic Algori
title_sort optimum arrangement of reactive power sources while using genetic algori
url https://energy.bntu.by/jour/article/view/444
work_keys_str_mv AT amgashimov optimumarrangementofreactivepowersourceswhileusinggeneticalgori
AT rnrakhmanov optimumarrangementofreactivepowersourceswhileusinggeneticalgori
AT strakhmanov optimumarrangementofreactivepowersourceswhileusinggeneticalgori