Frequency dielectric spectroscopy and an innovative optical sensor to assess oil-paper degradation

Maria, Letizia De; Borghetto, J.; Cennamo, Nunzio; Scatiggio, Fabio; Pesavento, Maria; Zeni, Luigi

doi:10.1109/tdei.2020.008848

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…With previous investigations, we have demonstrated the optical response of the POF-SPR-MIP for 2-FAL in different case studies, i.e., in exhausted oil samples spilled from two ex-serviced current transformers used as a bench test [4,15], in mineral oil samples, representative of the solid insulating system of transformers, exposed to controlled thermal treatment to simulate aging of the insulating paper [16,17]. In these cases, the likely presence of impurities did not induce any shift of resonance wavelengths in the SPR The spectra of the POF-SPR-MIP in media with largely different refractive index, i.e., air, water, and mineral oil are very similar, different from that of the bare surface (without MIP) in water.…”

Section: Plasmonic Response Of the Pof-spr-mip Sensor Systemmentioning

confidence: 88%

Optical Chemo-Sensors for Specific Markers in Transformer Insulating Oil Exploiting Molecularly Imprinted Polymers and Plasmonic Optical Fibers

Maria

Arcadio

Pesavento

et al. 2021

The 2nd International Electronic Conference on Applied Sciences

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2-FAL (2-furaldehyde) and furanic derivatives are the main by-products of the thermal degradation of cellulose paper insulation of power transformers’ windings. The detection of these compounds in the insulating oil of transformers is essential to investigate the ageing of the oil-paper system in order to avoid failures. To this aim, a non-conventional surface plasmon resonance (SPR) platform in plastic optical fiber (POF) was proposed for the monitoring of a biomimetic receptor specific to detect 2-FAL in transformer oil. In particular, the investigation was performed in mineral oil, which is currently the main insulating liquid for power transformers. A molecularly imprinted polymer (MIP) receptor was used, giving the sensor device a noticeable selectivity and many advantages with respect to the biological counterparts. Furthermore, the study was extended to safer and more environmentally acceptable insulating fluids representing an alternative to mineral oil (i.e., esters). To this aim, the principle and limitations of the SPR chemo-sensor performances have been discussed in this work.

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Section: Plasmonic Response Of the Pof-spr-mip Sensor Systemmentioning

confidence: 88%

Optical Chemo-Sensors for Specific Markers in Transformer Insulating Oil Exploiting Molecularly Imprinted Polymers and Plasmonic Optical Fibers

Maria

Arcadio

Pesavento

et al. 2021

The 2nd International Electronic Conference on Applied Sciences

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“…According to ( 6), (7), and ( 8), the relationship between the complex permittivity of oil-paper insulation, oil, spacer, and paper can be calculated as:…”

Section: Equivalent Circuit Deduction Of the Xy Modelmentioning

confidence: 99%

“…E-mail: xqc.hust@qq.com insulation status of electrical equipment. Notably, FDS allows the quantification of moisture levels and the aging status of transformer insulation paper, facilitating the quantitative evaluation of moisture and aging of the transformers [4][5][6][7][8]. However, using the FDS method, only the frequency spectrum of the major insulation of the transformer can be measured, not the insulation paper.…”

Section: Introductionmentioning

confidence: 99%

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Error Analysis of XY Model Equivalent Circuit Based on Finite Element Simulation

Tu,

Xu,

Jiang

et al. 2024

IEEJ Transactions Elec Engng

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The XY model is a simplified insulation model for transformers that aims to connect the frequency spectrum of major insulation, insulation paper, and oil. It enables the calculation of the paper's frequency spectrum, facilitating a quantitative evaluation of the transformer's insulation status. Given the scarcity of research addressing the accuracy of the XY model and its corresponding equivalent circuit, this paper investigates the accuracy of the XY model and conducts an in‐depth analysis of the error associated with its equivalent circuit. Firstly, the frequency spectrum of oil‐paper insulations based on the XY model with varying moisture content and structure configurations were measured, followed by the simulation of both the corresponding 2D‐coaxial and XY models. By comparing the results obtained from these simulations with experimental data on oil‐paper insulation, the accuracy of XY model is verified. Subsequently, two variants of the equivalent circuit of the XY model are derived by combining the oil, spacer, and paper differently, which denoted as Type I and II circuits. Finally, we analyzed and explained the errors present in these equivalent circuits compared with the XY model. Our findings show that the width‐thickness ratio of oil‐paper insulation is the most critical influencing factor, while moisture content and insulation structure have a less decisive impact. Notably, for general transformers, as the width‐thickness ratio is between 30 and 70, the relative error of the Type I circuit remains consistently below 0.3% across different frequencies. Consequently, the Type I circuit proves to be a more suitable representation of the equivalent circuit for the XY model in the context of general transformers. © 2024 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Nonlinear characteristics of the oil-paper insulation system during the polarization and depolarization process

et al. 2023

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Frequency dielectric spectroscopy and an innovative optical sensor to assess oil-paper degradation

Cited by 5 publications

References 13 publications

Optical Chemo-Sensors for Specific Markers in Transformer Insulating Oil Exploiting Molecularly Imprinted Polymers and Plasmonic Optical Fibers

Optical Chemo-Sensors for Specific Markers in Transformer Insulating Oil Exploiting Molecularly Imprinted Polymers and Plasmonic Optical Fibers

Error Analysis of XY Model Equivalent Circuit Based on Finite Element Simulation

Nonlinear characteristics of the oil-paper insulation system during the polarization and depolarization process

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