Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks

It is known that significant power losses in power distribution networks (PDNs) caused by unauthorized power withdrawals (UPWs) lead to a decrease in their technical and economic performance. There are no digital technologies designed for separate assessment and monitoring of technical and commercia...

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Main Authors: Omorov T.T., Takyrbashev B.K., Koibagarov T.Dzh., Osmonova R.Ch., Imanakunova Zh.S., Zhanybaev T.O., Asiev A.T.
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01040.pdf
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author Omorov T.T.
Takyrbashev B.K.
Koibagarov T.Dzh.
Osmonova R.Ch.
Imanakunova Zh.S.
Zhanybaev T.O.
Asiev A.T.
author_facet Omorov T.T.
Takyrbashev B.K.
Koibagarov T.Dzh.
Osmonova R.Ch.
Imanakunova Zh.S.
Zhanybaev T.O.
Asiev A.T.
author_sort Omorov T.T.
collection DOAJ
description It is known that significant power losses in power distribution networks (PDNs) caused by unauthorized power withdrawals (UPWs) lead to a decrease in their technical and economic performance. There are no digital technologies designed for separate assessment and monitoring of technical and commercial power losses in modern automatic system for commercial metering of power consumption (ASCMPC), which are currently widely used for automation and computerization of processes in distribution networks. The article proposes a new algorithm for solving the above problem on the basis of data obtained from electricity meters included in the ASCMPC structure. In order to ensure the solvability of the identification problem, the concept of a virtual network model characterizing the desired state of the PDN in the absence of UPW is introduced. On its basis, algebraic equations are obtained, the solution of which allows to identify technical and commercial power losses in three-phase networks. The obtained results are oriented on further improvement of modern ASCMPC and increase of their efficiency and reliability.
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spelling doaj.art-a35bef675a0c4bd881de5c2836a36ea02024-01-26T10:39:43ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014610104010.1051/e3sconf/202346101040e3sconf_rses23_01040Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networksOmorov T.T.0Takyrbashev B.K.1Koibagarov T.Dzh.2Osmonova R.Ch.3Imanakunova Zh.S.4Zhanybaev T.O.5Asiev A.T.6National academy of sciences of the Kyrgyz Republic, Institute of Mechanical and Automation EngineeringNational academy of sciences of the Kyrgyz Republic, Institute of Mechanical and Automation EngineeringNational academy of sciences of the Kyrgyz Republic, Institute of Mechanical and Automation EngineeringNational academy of sciences of the Kyrgyz Republic, Institute of Mechanical and Automation EngineeringKyrgyz State Technical University named after I. RazzakovKyrgyz State Technical University named after I. RazzakovKyrgyz State Technical University named after I. RazzakovIt is known that significant power losses in power distribution networks (PDNs) caused by unauthorized power withdrawals (UPWs) lead to a decrease in their technical and economic performance. There are no digital technologies designed for separate assessment and monitoring of technical and commercial power losses in modern automatic system for commercial metering of power consumption (ASCMPC), which are currently widely used for automation and computerization of processes in distribution networks. The article proposes a new algorithm for solving the above problem on the basis of data obtained from electricity meters included in the ASCMPC structure. In order to ensure the solvability of the identification problem, the concept of a virtual network model characterizing the desired state of the PDN in the absence of UPW is introduced. On its basis, algebraic equations are obtained, the solution of which allows to identify technical and commercial power losses in three-phase networks. The obtained results are oriented on further improvement of modern ASCMPC and increase of their efficiency and reliability.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01040.pdfdistribution networkpower lossesidentification and monitoring algorithm
spellingShingle Omorov T.T.
Takyrbashev B.K.
Koibagarov T.Dzh.
Osmonova R.Ch.
Imanakunova Zh.S.
Zhanybaev T.O.
Asiev A.T.
Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
E3S Web of Conferences
distribution network
power losses
identification and monitoring algorithm
title Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
title_full Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
title_fullStr Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
title_full_unstemmed Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
title_short Algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
title_sort algorithmic foundations of automated monitoring of commercial and technical power losses in distribution networks
topic distribution network
power losses
identification and monitoring algorithm
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/98/e3sconf_rses23_01040.pdf
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