Estimation of paper conductivity from short duration polarisation–depolarisation current for diagnosis of power transformer

Mishra, D.; Haque, Nasirul; Baral, Arijit; Chakravorti, S.

doi:10.1049/iet-smt.2019.0012

Cited by 5 publications

(3 citation statements)

References 16 publications

(50 reference statements)

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“…During polarization current measurement, dc voltage is impressed across the insulating material under test [15]. On application of dc step field, the insulating material's internal dipoles began to rotate in the direction of the applied field, and the polarization process starts.…”

Section: Assessment Of Insulation Condition Using Pdc Anaysismentioning

confidence: 99%

Importance of Depolarization Current in the Diagnosis of Oil-Paper Insulation of Power Transformer

2023

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Recently, Polarization Depolarization current (PDC) measurement is widely accepted time domain spectroscopy-based method for assessing the insulation condition. Various performance parameters like Dissipation factor (%tanδ), Paper Moisture (%pm), Dielectric Adsorption Ratio (DAR), Polarization index (PI) etc. can be estimated by analyzing the PDC data. During field measurement various factors influences the recorded PDC data. As per existing literature, presence of low frequency noise, effect of temperature variation and influence of residual charge are common during field measurement. These factors significantly affect recorded polarization current and hence estimated performance parameters. Hence, analysis using recorded polarization current data may provide misleading information regarding insulation condition. Under such practical situation where polarization current is affected by above mentioned factors that generally observed during field measurement, depolarization current should be used for analysis of insulation condition. The depolarization current does not influence by such external factors. The present work shows the importance of depolarization current where polarization current is influenced by external low frequency noise and residual charge. The analysis firstly applied on sample prepared in the laboratory and then on data collected from real life in-situ transformers. The results obtained from the analysis shows that the data obtained from depolarization current is more reliable.

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Section: Assessment Of Insulation Condition Using Pdc Anaysismentioning

confidence: 99%

Importance of Depolarization Current in the Diagnosis of Oil-Paper Insulation of Power Transformer

2023

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“…The rated current means that the tap position of the primary side must be the main tap, not the rated current of other taps. For the reference temperature, it depends on the thermal class of the insulating material of the transformer [9,10]. For oil-immersed transformers, whether it is self-cooling or air-cooling, it is a class A insulating material, and its reference temperature is specified according to the traditional concept, which is 75 °C.…”

Section: Load Lossmentioning

confidence: 99%

“…According to the stress-strength interference model, the failure probability of the transformer insulation structure when the random stress acts z times can be obtained, as shown in formula (9):…”

Section: Estimation Of Transformer Insulation Faultsmentioning

confidence: 99%

A method for estimating the healthy operation state of 110kV power grid transformers based on key characteristic quantities

Wang

2022

Second International Conference on Testing Technology and Automation Engineering (TTAE 2022)

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Reliable Sensing of Insulation Sensitive Performance Parameters Using Time Domain-Based Measurement at Different Temperatures

Mishra,

Parveen,

Baral

et al. 2023

IEEE Sensors J.

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Estimation of paper conductivity from short duration polarisation–depolarisation current for diagnosis of power transformer

Cited by 5 publications

References 16 publications

Importance of Depolarization Current in the Diagnosis of Oil-Paper Insulation of Power Transformer

Importance of Depolarization Current in the Diagnosis of Oil-Paper Insulation of Power Transformer

A method for estimating the healthy operation state of 110kV power grid transformers based on key characteristic quantities

Reliable Sensing of Insulation Sensitive Performance Parameters Using Time Domain-Based Measurement at Different Temperatures

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