Prediction of Transformer Insulation Life with an Effect of Environmental Variables

Murugesan, S.; Krishnan, A.

doi:10.5120/8755-2658

Cited by 10 publications

(8 citation statements)

References 17 publications

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“…The ‘ten‐degrees’ rule can be applied to machines with insulation classes A , B , F , and H . For paper insulated machines (class Y ), different aging models should be applied, as found in [56, 57]. The Arrhenius equation is given by

L = L_{n} e^{- k (][, true \frac{normalΔ T}{T_{n} false(T_{n} + normalΔ T false)})},

where L is the expected lifetime for the insulation (hours) in the higher temperature condition;

L_{n}

is the normal lifetime for the insulation under rated temperature;

T_{n}

is the normal operating temperature for the insulation for the given temperature class

()(, ° normalC)

;

normalΔ T

is the increase in the mean temperature of the insulation

()(, ° normalC)

; k is the Arrhenius reaction constant.…”

Section: Resultsmentioning

confidence: 99%

Insulation protection and online stress agent identification for electric machines using artificial intelligence

Guedes

Silva²

2019

IET Electric Power Applications

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Insulation failures are among the most important problems affecting electric machines. Although standard procedures are widely used to assess the insulation condition of these machines, no alternative is available to allow the identification of the stress agents affecting the insulation system. Another limitation of the standard procedures is the fact that they are based on tests that require the interruption of the operation of the machine. This study presents a technique that allows the online assessment and protection of the insulation of low-and medium-voltage electric machines, along with the identification of the stress agents responsible for the degradation of the insulation. The proposed technique is based on the use of a highly sensitive current transformer, an algorithm to identify the most affected phase, and an artificial neural network to indicate the stress agent affecting the machine. The presented experimental results show that the proposed system can identify thermal degradation, moisture absorption and contamination by oil. The low current levels that can be measured by the developed system enable the application of the proposed technique to low-and medium-voltage machines.

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L = L_{n} e^{- k (][, true \frac{normalΔ T}{T_{n} false(T_{n} + normalΔ T false)})},

where L is the expected lifetime for the insulation (hours) in the higher temperature condition;

L_{n}

is the normal lifetime for the insulation under rated temperature;

T_{n}

is the normal operating temperature for the insulation for the given temperature class

()(, ° normalC)

;

normalΔ T

is the increase in the mean temperature of the insulation

()(, ° normalC)

; k is the Arrhenius reaction constant.…”

Section: Resultsmentioning

confidence: 99%

Insulation protection and online stress agent identification for electric machines using artificial intelligence

Guedes

Silva²

2019

IET Electric Power Applications

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“…Meanwhile, the partial discharge resistance was also dramatically improved. Srinivasan [15] proposed a new semi-physical model comprising of the environmental variables for the estimation of hot spot temperature and loss of insulation life in transformer. The winding hot-spot temperature was calculated as a function of the top-oil temperature that can be estimated using the transformer loading data, ambient temperature, wind velocity and solar heat radiation effect.…”

Section: Experimental Studies On Transformer Oil-nanofluidmentioning

confidence: 99%

Experimental Studies on Breakdown Strength of Transformer Oil Based Nanofluids: An Overview

Krishnan S.

2020

IJAR

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The advent of nanotechnology opens up several research avenues. One of the promising outcomes of it is nanofluids. Remarkable research progress has been evidenced in recent years in this arena.Recently scientists have used nanoparticles as additives in transformer oils due to its enhanced thermophysical and excellent dielectric properties. This article portrays an overview of recentexperimental studies on the potentials of nanofluids as transformer oils. The effect of particle type and particle concentrations on the dielectric break down voltage and heat transfer characteristics is summarized.It has been observed that use of nanofluids could improve the efficiency of existing high voltage infrastructures with a low financial cost.

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“…Usually the total time period used is 24 hours. Therefore the equation of percent loss of life is as follows [22].…”

Section: Loss Of Lifementioning

confidence: 99%

Feasibility Analysis for Power Transformer Expectancy and Loss of Life “A practical Case Study in Egyptian Electricity Transmission Company”

Henidaq¹,

Mahmoud

Daoud

et al. 2014

Port-Said Engineering Research Journal

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Quality of power supply is now a major worldwide important issue making harmonic analysis an essential element in power system planning and design. Because of the power transformers are major co mponents in power systems; this paper studies the impact of power harmonics on power transformer. This phenomenon increases the power losses, over loading, over voltage conditions; accelerate aging of life and failure probability of transformer. The paper refers to the importance of mit igation this phenomenon, and presents a typical case study of high voltage power transformer which exists in Egyptian Electricity Transmission Co mpany (EETC). The electrical power network is simu lated using the ETAP 6.0.0, and the results demonstrate the importance of mit igation of this phenomenon.

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Prediction of Transformer Insulation Life with an Effect of Environmental Variables

Cited by 10 publications

References 17 publications

Insulation protection and online stress agent identification for electric machines using artificial intelligence

Insulation protection and online stress agent identification for electric machines using artificial intelligence

Experimental Studies on Breakdown Strength of Transformer Oil Based Nanofluids: An Overview

Feasibility Analysis for Power Transformer Expectancy and Loss of Life “A practical Case Study in Egyptian Electricity Transmission Company”

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