Modification of Duval Triangle for Diagnostic Transformer Fault through a Procedure of Dissolved Gases Analysis

• Autorzy: Dessouky S. S. , Kalas A. E. , El-Aal R. A. A. , Hassan A. M. M.

Identyfikatory

DOI

10.22149/teee.v1i3.28

• Konferencja: International Conference on Environment and Electrical Engineering EEEIC (16 ; 06-08.06.2016 ; Florence, Italy)
• Języki publikacji: EN

Abstrakty

EN

Dissolved gas-in-oil analysis (DGA) is a sensitive and dependable technique for the detection of incipient fault condition within oil-immersed transformers. When the mineral oil is subjected to high thermal or/and electrical stresses, it decomposes and, as a result, gases are generated. This paper presents modification of Duval triangle DGA diagnostic graph to numerical method that is easy to use for diagnosing and a Matlab program. To study such as the following evaluation. This evaluation is carried out on DGA data obtained from three different groups of transformers each group are two identical transformers. A Matlab program was developed to automate the evaluation of Duval Triangle graph to numerical modification, Also the fault gases can be generated due to oil decomposing effected by transformer over excitation which increasing the transformer exciting current lead to rising the temperature inside transformer core beside the other causes.

Słowa kluczowe

EN

Dissolved Gas Analysis; DGA; mineral oil; decomposition; degradation; transformer condition

• Wydawca: EEEIC International Publishing
• Czasopismo: Transactions on Environment and Electrical Engineering
• Rocznik: 2016
• Tom: Vol. 1, No. 3
• Strony: 21--27
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Dessouky S. S.

• Electrical Engineering Dept. Faculty of Engineering, Port-Said University. Port Said, Egypt

autor

Kalas A. E.

• Electrical Engineering Dept. Faculty of Engineering, Port-Said University. Port Said, Egypt

autor

El-Aal R. A. A.

• Electrical Engineering Dept. Faculty of Engineering, Port-Said University. Port Said, Egypt

autor

Hassan A. M. M.

• Abo-Sultan Steam Power Plant, Ismailia. Egypt

Bibliografia

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• [3] “IEEE guide for the interpretation of gases generated in oilimmersed transformers”, IEEE Standard C57.104-2008, 2009.
• [4] M. J. Heathcote, the J & P Transformer Book, Twelfth Edition, Reed Educational and Professional Publishing Ltd, 1998.
• [5] S. M. Islam, T. Wu and G. Ledwich, “A novel fuzzy logic approach to transformer fault diagnosis”, IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 7, pp. 177-186, 2000.
• [6] M. A. Izzularab, G. E. M. Aly and D. A. Mansour, “On-line diagnosis of incipient faults and cellulose degradation based on artificial intelligence methods”, IEEE International Conference on Solid Dielectrics (ICSD), pp. 767-770, 2004.
• [7] Md Umar Farooque, Shufali Awani,Shakeb akan "Artificial neural network (ANN) based implementation of Duval pentagon" 2015 International Conference on condition assesment techniques in electrical systems (CATCON) pp 46-50, 2015.
• [8] Diaa-ELdin A.Monsour "-Development of a new graphical technique for dissolved gas analysis in power transformers based on the five combustible gases"IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 22, pp. 2507-2512, 2015.
• [9] Alamuru Vani and Pessapaty Sree Rama Chandra Murthy "Hybrid diagnosing techniques for analyzing dissolved gases in power transformers" ISSN 2006-9790, pp 33-34, 2015.
• [10] M. Duval, “A review of faults detectable by gas-in-oil analysis in transformers”, IEEE Electrical Insulation Magazine, Vol. 18, pp. 8-17, 2002.
• [11] Nitin K. Dhote1 and Jagdish B. Helonde" Fuzzy Algorithm for Power Transformer Diagnostics" Academic Editor: M. Onder Efe, pp 1-2, 2013.
• [12] Stefan Tenbohlen , Sebastian Coenen , Mohammad Djamali "Andreas Müller Diagnostic Measurements for Power Transformers" Academic Editor: Issouf Fofana, Energies, pp 2, 2016.
• [13] Sherif S.M. Ghoneim , Ibrahim B.M. Taha , Nagy I. Elkalashy "Integrated ANN-Based Proactive Fault Diagnostic Scheme for Power Transformers Using Dissolved Gas Analysis" IEEE Transactions on Dielectrics and Electrical Insulation, Vol.23,No 3 , pp 1838-1845, 2016.
• [14] L.G Hewitson “Protective Relaying for Power Generation Systems” Book Taylor & Francis Group, Publishing Ltd 2006.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).