Power transformers monitoring based on electrical measurements: state of the art

Meira, Matias; Ruschetti, Cristian; Álvarez, Raúl Emilio; Verucchi, Carlos

doi:10.1049/iet-gtd.2017.2086

Cited by 37 publications

(14 citation statements)

References 76 publications

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“…Any unplanned fault in power transformers may lead to power supply interruption, cause significant economic loss and affect the stability and reliability of the entire power system [1]. Therefore, accurately assessing the health condition of the power transformer is critical to improving the operational reliability of power systems [2,3].…”

Section: Introductionmentioning

confidence: 99%

Multifactorial condition assessment for power transformers

Zhou

2020

IET Generation, Transmission & Distribution

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Section: Introductionmentioning

confidence: 99%

Multifactorial condition assessment for power transformers

Zhou

2020

IET Generation, Transmission & Distribution

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“…In order to overcome the practical limitations of the IEC 60270 standard method for online monitoring, researchers have been studying several alternative methodologies for PD detection [4,5,6,7,8]. Among these methods, the radiometric ones are highlighted due to their non-invasive nature, since there is no need of an electrical connection between the sensor and the monitored equipment.…”

Section: Introductionmentioning

confidence: 99%

Design and Application of a Metamaterial Superstrate on a Bio-Inspired Antenna for Partial Discharge Detection through Dielectric Windows

Xavier

Serres

Costa

et al. 2019

Sensors

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The adaptation of dielectric windows as metamaterial superstrate over a bio-inspired Printed Monopole Antenna (PMA) was evaluated in order to improve the detection sensitivity of Ultra High Frequency (UHF) sensors designed for Partial Discharge (PD) measurement. For this purpose, rectangular and circular Split Ring Resonators (SRR) structures were designed and evaluated aiming to achieve a metamaterial superstrate that improves the characteristics of the bio-inspired PMA as the gain, bandwidth, and radiation pattern. Measurements of the PMA with metamaterial superstrate were carried out in an anechoic chamber and compared to the simulations performed. The results show that the metamaterial superstrate insertion did not impact the original operating bandwidth, covering most of the characteristic frequency range of PD activity. Moreover, this insertion resulted in a mean gain enhancement of 0.7 dBi regarding the reference PMA, resulting in an antenna with better sensitivity for PD detection (mean gain of 3.61 dBi). The PMA-metamaterial set PD detection sensitivity was evaluated through laboratory tests with a point-to-plane PD generator setup and in field with measurements from a 230 kV current transformer. The developed PMA-metamaterial set was able to detect, successfully, the activity of PD for both tests, being classified as an optimized sensor for PD detection through dielectric windows.

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“…Frequency response analysis (FRA) is a universally applicable method to detect winding deformation with good test repeatability and high sensitivity [1][2][3]. Currently, the objective of FRA to diagnose winding fault has shifted from the confirmation of winding defect to the determination of specific winding fault type, fault position, and fault severity [4].…”

Section: Introductionmentioning

confidence: 99%