An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators

Efficiency in the operation of distribution networks is one of the commonly recognised goals of the Smart Grid aspect. Novel approaches are needed to assess the level of energy loss and reliability in electricity distribution. Transmission of electricity in the power system is invariably accompanied...

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Autores principales:	Mirosław Kornatka, Anna Gawlak
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	distribution network operating condition network energy losses reliability kernel density estimation Technology T
Acceso en línea:	https://doaj.org/article/7b189a730d824e04beb0552cabc4a638
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spelling	oai:doaj.org-article:7b189a730d824e04beb0552cabc4a6382021-11-11T15:48:09ZAn Analysis of the Operation of Distribution Networks Using Kernel Density Estimators10.3390/en142169841996-1073https://doaj.org/article/7b189a730d824e04beb0552cabc4a6382021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/6984https://doaj.org/toc/1996-1073Efficiency in the operation of distribution networks is one of the commonly recognised goals of the Smart Grid aspect. Novel approaches are needed to assess the level of energy loss and reliability in electricity distribution. Transmission of electricity in the power system is invariably accompanied by certain physical phenomena and random events causing losses. Identifying areas where excessive energy losses or excessive grid failure occur is a key element for energy companies in resource management. The study presented in the article is based on data obtained from distribution system operators concerning 41 distribution regions in Poland for a period of 5 years. The first part of the article presents an analysis of the distribution of values for the introduced energy density and energy losses in the lines of medium- and low-voltage networks and in transformers supplying the low-voltage network. The second part of the article presents the assessment of the network reliability of the same distribution regions based on analysis of the distributions of System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) values for planned and unplanned outages. Data analysis is performed by non-parametric methods by means of kernel estimators.Mirosław KornatkaAnna GawlakMDPI AGarticledistribution networkoperating condition networkenergy lossesreliabilitykernel density estimationTechnologyTENEnergies, Vol 14, Iss 6984, p 6984 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	distribution network operating condition network energy losses reliability kernel density estimation Technology T
spellingShingle	distribution network operating condition network energy losses reliability kernel density estimation Technology T Mirosław Kornatka Anna Gawlak An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
description	Efficiency in the operation of distribution networks is one of the commonly recognised goals of the Smart Grid aspect. Novel approaches are needed to assess the level of energy loss and reliability in electricity distribution. Transmission of electricity in the power system is invariably accompanied by certain physical phenomena and random events causing losses. Identifying areas where excessive energy losses or excessive grid failure occur is a key element for energy companies in resource management. The study presented in the article is based on data obtained from distribution system operators concerning 41 distribution regions in Poland for a period of 5 years. The first part of the article presents an analysis of the distribution of values for the introduced energy density and energy losses in the lines of medium- and low-voltage networks and in transformers supplying the low-voltage network. The second part of the article presents the assessment of the network reliability of the same distribution regions based on analysis of the distributions of System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) values for planned and unplanned outages. Data analysis is performed by non-parametric methods by means of kernel estimators.
format	article
author	Mirosław Kornatka Anna Gawlak
author_facet	Mirosław Kornatka Anna Gawlak
author_sort	Mirosław Kornatka
title	An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
title_short	An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
title_full	An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
title_fullStr	An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
title_full_unstemmed	An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators
title_sort	analysis of the operation of distribution networks using kernel density estimators
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7b189a730d824e04beb0552cabc4a638
work_keys_str_mv	AT mirosławkornatka ananalysisoftheoperationofdistributionnetworksusingkerneldensityestimators AT annagawlak ananalysisoftheoperationofdistributionnetworksusingkerneldensityestimators AT mirosławkornatka analysisoftheoperationofdistributionnetworksusingkerneldensityestimators AT annagawlak analysisoftheoperationofdistributionnetworksusingkerneldensityestimators
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An Analysis of the Operation of Distribution Networks Using Kernel Density Estimators

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