Influence of insulation model parameters on transfer function zero evaluated for diagnosis of oil-paper insulation

Banerjee, Chandra Madhab; Saurabh, .; Baral, Arijit; Chakravorti, S.

doi:10.1109/catcon.2017.8280248

Cited by 2 publications

(2 citation statements)

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“…However, the FDS measurement is a time‐consuming technique especially in the low‐frequency region [1–3]. In recent times, TDS‐based techniques like the analysis of polarisation and depolarisation current (PDC) have become popular among utilities [1–3, 5–8]. It is reported in [3, 6] that a number of performance parameters can be estimated using the PDC data.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of de‐trapped charge for diagnosis of transformer insulation using short‐duration polarisation current employing detrended fluctuation analysis

et al. 2020

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Researchers have shown that the value of charge carriers, de‐trapped from the oil–paper interface of power transformer insulation, is useful in carrying out the diagnosis. However, the evaluation of the de‐trapped charge requires the analysis of polarisation–depolarisation currents. Being an off‐line time‐consuming process, the measurement and analysis of polarisation and depolarisation current (PDC) data are not practically advantageous. The study presents a detrended fluctuation analysis‐based technique to estimate the magnitude of normalised de‐trapped charge using the polarisation current measured for a short duration. Using the proposed technique, the requirement of measuring the complete PDC data, for diagnosis purposes, can be eliminated. Further, the technique also eliminates the requirement of depolarisation current which in turn facilitates a reduction in equipment shutdown time. The applicability of the proposed technique is tested on the data obtained from several real‐life power transformers.

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Section: Introductionmentioning

confidence: 99%

“…However, the analysis of PDC data generally involves the formulation of insulation models. Non‐unique insulation model parameters affect the reliability of diagnosis results [5]. Recent publications have shown that the effective analysis of the PDC data can be done without restoring to insulation model formulation.…”

Section: Introductionmentioning

confidence: 99%