Estimation of Remaining Life of Power Transformers

Pandurangaiah, D.; Reddy, C.C.; Govindan, T.P.; Mandlik, Manoj; Ramu, T.S.

doi:10.1109/elinsl.2008.4570320

Cited by 13 publications

(2 citation statements)

References 5 publications

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“…However, the challenge of utilizing furan content alone to map the remnant life is that if the oil is reconditioned or filtered, the furan representation of the new oil might not reflect the true degradation of cellulose paper. In [135], a method which involves generation of data using Monte Carlo techniques thereby leading to the development of an empirical regression model to estimate the elapsed life and also the remaining life of power transformer is presented. Siada et al [136] introduced a technique based on Ultraviolet-to-Visible (UV-Vis) to measure the concentration of furan content in insulation oil.…”

Section: Overview Of Transformer Remnant Life Estimation Approachesmentioning

confidence: 99%

In-Service Power Transformer Life Time Prospects: Review and Prospects

Mharakurwa

2022

Journal of Electrical and Computer Engineering

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Power transformers are essential assets in power system networks that must be meticulously monitored throughout their operational life cycle. Given that a substantial percentage of in-service power transformers around the world have reached the end of their projected technical lifespan, utilities are adopting various transformer condition-based maintenance strategies to minimize potentially devastating equipment failure. Thus, further usage of aging fleet of power system assets can be improved by gaining a better understanding of life threatening factors. In-service power transformers and their auxiliary components are susceptible to a variety of operational risks, which can compromise their performance and efficiency, thus resulting in devastating failures, financial losses, and power outages. Hence, it is necessary to investigate transformer life time issues so as to fully grasp the operational and performance status in order to reduce failures and operating costs. This paper presents a unified framework of attributes pertaining to life time issues for transformer operation evaluation together with a summary of recent findings in order to explore the current status and progress of this rapidly progressing field. The failure statistics analysis is presented first, followed by an examination of the transformer’s insulation degradation and aging mechanism. Furthermore, emphasis was on detailing the commonly adopted models and strategies in transformer condition evaluation, fault diagnostics, and remnant life estimation. Despite significant advancements in ascertaining transformer health diagnosis and prognosis technologies, including test accuracy, quick, precise fault localization, and fault type classification, there are still several shortcomings that require additional research, and thus future research perspectives are also discussed.

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Section: Overview Of Transformer Remnant Life Estimation Approachesmentioning

confidence: 99%

In-Service Power Transformer Life Time Prospects: Review and Prospects

Mharakurwa

2022

Journal of Electrical and Computer Engineering

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“…Diagnostic and condition monitoring strategies based of carbon oxide gas evolution including a class of furfurals was also investigated in some detail [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Moisture aided degradation of oil impregnated paper insulation in power transformers

Mandlik¹,

Ramu

2014

IEEE Trans. Dielect. Electr. Insul.

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The presence of moisture in oil impregnated paper insulation (OIP) is detrimental to its long time performance. Until recently, it was thought insulation ageing was only a function of temperature and electrical stress. It has now been realized that moisture in all its forms causes rapid degradation of the electrical and mechanical properties with time. In this study, insulation paper samples were conditioned for desired level of moisture and were impregnated with premium quality transformer oil. The oil impregnated samples with 1 to 3 % moisture content were aged at 90 to 130°C. The indices for determining the extent of ageing considered in this work are degree of polymerization (DP), furan, carbon monoxide and carbon dioxide content. These quantities were monitored throughout the ageing experimental run. End-of-life (EOL) criterion used here is the reduction in the value of DP. Phenomenological models for estimating the service life of insulation are proposed and are validated against actual experimental data.

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Introduction to Condition Monitoring in Mechanical and Electrical Systems

Marwala

2011

Condition Monitoring Using Computational Intelligence Methods

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Estimation of Remaining Life of Power Transformers

Cited by 13 publications

References 5 publications

In-Service Power Transformer Life Time Prospects: Review and Prospects

In-Service Power Transformer Life Time Prospects: Review and Prospects

Moisture aided degradation of oil impregnated paper insulation in power transformers

Introduction to Condition Monitoring in Mechanical and Electrical Systems

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