Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt

From reliability, maintainability, and availability (RAM) points of view, the performance of power transformers has a significant impacts on the performance of the entire power network. Their performance has also a significant impacts on the power interruptions at various voltage levels and the cons...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmed Adel EL-Bassiouny, Mohamed EL-Shimy, Rizk Hamouda
Format: Article
Language:English
Published: Academy Publishing Center 2019-12-01
Series:Renewable Energy and Sustainable Development
Subjects:
Online Access:http://apc.aast.edu/ojs/index.php/RESD/article/view/299
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1839635282923618304
author Ahmed Adel EL-Bassiouny
Mohamed EL-Shimy
Rizk Hamouda
author_facet Ahmed Adel EL-Bassiouny
Mohamed EL-Shimy
Rizk Hamouda
author_sort Ahmed Adel EL-Bassiouny
collection DOAJ
description From reliability, maintainability, and availability (RAM) points of view, the performance of power transformers has a significant impacts on the performance of the entire power network. Their performance has also a significant impacts on the power interruptions at various voltage levels and the consequent customer interruption costs. This paper will discuss the estimated remaining lifetime of power transformers in the voltages subpopulations: 500kV, 220 kV, 132 kV, 66kV and 33 kV of the Egyptian grid as time between failures (TBFs) will be determined and then determine the best fit probability distribution using MATLAB program for repair time, customer interruption costs (CIC) and TBFs, this is performed in order to estimate remaining lifetime of the transformers, from which the best fit probability distribution will be used in this case study which is Weibull distribution. Finally availability of the transformers per different voltage populations is calculated and determined. Different subassemblies (failures) are also undergo the same process of determining TBFs and estimating remaining lifetime. The results will be helpful in the manufacturing process of the transformers and enhancing the maintenance schedule.    <strong>      </strong>
format Article
id doaj-art-4bccd813cb634ec3b5f9adb93fca25aa
institution Matheson Library
issn 2356-8518
2356-8569
language English
publishDate 2019-12-01
publisher Academy Publishing Center
record_format Article
series Renewable Energy and Sustainable Development
spelling doaj-art-4bccd813cb634ec3b5f9adb93fca25aa2025-07-09T10:32:33ZengAcademy Publishing CenterRenewable Energy and Sustainable Development2356-85182356-85692019-12-0152465610.21622/resd.2019.05.2.046141Probabilistic Analysis of the Reliability Performance for Power Transformers in EgyptAhmed Adel EL-Bassiouny0Mohamed EL-Shimy1Rizk Hamouda2Salah Shaaban Consulting OfficeElectrical power and machines department, Faulty of Engineering, Ain Shams University, Cairo, Egypt.3Energy Engineering, Faulty of Engineering, Heliopolis University, Cairo, EgyptFrom reliability, maintainability, and availability (RAM) points of view, the performance of power transformers has a significant impacts on the performance of the entire power network. Their performance has also a significant impacts on the power interruptions at various voltage levels and the consequent customer interruption costs. This paper will discuss the estimated remaining lifetime of power transformers in the voltages subpopulations: 500kV, 220 kV, 132 kV, 66kV and 33 kV of the Egyptian grid as time between failures (TBFs) will be determined and then determine the best fit probability distribution using MATLAB program for repair time, customer interruption costs (CIC) and TBFs, this is performed in order to estimate remaining lifetime of the transformers, from which the best fit probability distribution will be used in this case study which is Weibull distribution. Finally availability of the transformers per different voltage populations is calculated and determined. Different subassemblies (failures) are also undergo the same process of determining TBFs and estimating remaining lifetime. The results will be helpful in the manufacturing process of the transformers and enhancing the maintenance schedule.    <strong>      </strong>http://apc.aast.edu/ojs/index.php/RESD/article/view/299“transformers”, “weibull distribution”, “remaining lifetime”, “availability”
spellingShingle Ahmed Adel EL-Bassiouny
Mohamed EL-Shimy
Rizk Hamouda
Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
Renewable Energy and Sustainable Development
“transformers”, “weibull distribution”, “remaining lifetime”, “availability”
title Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
title_full Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
title_fullStr Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
title_full_unstemmed Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
title_short Probabilistic Analysis of the Reliability Performance for Power Transformers in Egypt
title_sort probabilistic analysis of the reliability performance for power transformers in egypt
topic “transformers”, “weibull distribution”, “remaining lifetime”, “availability”
url http://apc.aast.edu/ojs/index.php/RESD/article/view/299
work_keys_str_mv AT ahmedadelelbassiouny probabilisticanalysisofthereliabilityperformanceforpowertransformersinegypt
AT mohamedelshimy probabilisticanalysisofthereliabilityperformanceforpowertransformersinegypt
AT rizkhamouda probabilisticanalysisofthereliabilityperformanceforpowertransformersinegypt