Experiments on the multi-functional current sensor for condition detection of transformer bushings

Cheng, Yangchun; Hu, Tao; Chang, Wenzhi; Bi, Jiangang

doi:10.1109/eic.2016.7548583

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The mainstream methods are realised by refitting the construction of tap such as coupling the discharge pulse with high-frequency current transducer (HFCT) or capacitors/inductors with the similar principles [13][14][15]. It could indeed monitor PD signals transmitted from bushing tap to grounding wire effectively through wide-band frequency detection, even ultra-high-frequency band.…”

Section: Introductionmentioning

confidence: 99%

“…The ultra‐high frequency (UHF) technique is used in bushings [16], which has been investigated as a successful approach for PD measurement in power transformers [17] and gas insulated switchgear (GIS) [18, 19]. It has been one of reliable choice for device monitoring due to non‐contact and online detection.…”

Section: Introductionmentioning

confidence: 99%

“…It has been one of reliable choice for device monitoring due to non‐contact and online detection. As the number of bushings can be higher than 10 for one transformer, a failure of any of them leads to transformer failure as a consequence [2]. Hence, the confirmation of the faulty bushing and the PD location is necessary for practical application.…”

Section: Introductionmentioning

confidence: 99%

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Propagation and localisation of partial discharge in transformer bushing based on ultra‐high frequency technique

Jiang

Chen

et al. 2021

High Voltage

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As an essential component of power transformers, the detection and diagnosis of incipient partial discharge (PD) activities of bushings are of great significance. A 35‐kV oil‐impregnated paper (OIP) bushing is investigated. The bushing is modelled by coaxial theory and electromagnetic (EM) simulation. As the paths of PD‐induced ultra‐high frequency (UHF) signal propagating in the bushing are OIPs and oil gap, small attenuation during signal propagation is seen. Since OIP is composed of heterogeneous media compared with pure oil, there will be relatively less UHF signal leakage from OIPs, whereas more leakage from the oil gap. This leakage provides the possibility of non‐contact detection outside the bushing by UHF method. PD measurements with UHF method are carried out on the bushing. Then, the minimum energy method is used to extract time‐difference‐of‐arrival (TDOA), and Chan algorithm is adopted to locate points of UHF signal radiation. High accuracy locating with a small error of 15 cm has been achieved. The contactless UHF method‐based tests have demonstrated the effectiveness of online monitoring and locating of bushing PD.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Propagation and localisation of partial discharge in transformer bushing based on ultra‐high frequency technique

Jiang

Chen

et al. 2021

High Voltage

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“…Online condition monitoring for the distribution transformer is elaborated and discussed in [3]; however, many schemes are lacking the protection criteria in combination with conditioning monitoring. IEEE has provided guidance for assessment and reconditioning of oil immersed transformers [4], [5]. Time-based maintenance is nowadays replaced by condition-based maintenance as a part of the smart transformer to improve lifespan and reliability with the help of leakage current and partial discharge sensors [6].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Raichura

Chothani

Patel

2019

Electrical, Control and Communication Engineering

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Power transformer is one of the most important pieces of equipment in the grid to reliably and efficiently transmit power to the consumers. Asset management and protection are the best concepts for prolongation of transformer lifespan as well as for the increase of grid reliability. This article presents electrical and non-electrical parameter-based power transformer monitoring and protection. Various data such as core flux, age of asset, heat generation, current harmonics and temperature are monitored in real time and processed accordingly to enhance the working capability of the transformer. The proposed scheme is successfully tested on 15 kVA laboratory transformer using Arm CORTEX-M4 processor. A Fitness Function (Ff) is estimated from the collected data to examine the working condition of the transformer. Moreover, voltage, current and power-based inrush detection as well as Adaptive Power Differential Protection (APDP) are applied to protect the transformer against fault. The hardware implementation and result validation prove the effectiveness of the proposed scheme in enhancing reliability of the distribution grid.

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Real-Time Monitoring and Adaptive Protection of Power Transformer

Patel¹,

Chothani

2020

Power Systems

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Experiments on the multi-functional current sensor for condition detection of transformer bushings

Cited by 5 publications

References 5 publications

Propagation and localisation of partial discharge in transformer bushing based on ultra‐high frequency technique

Propagation and localisation of partial discharge in transformer bushing based on ultra‐high frequency technique

Real-Time Monitoring & Adaptive Protection of Power Transformer to Enhance Smart Grid Reliability

Real-Time Monitoring and Adaptive Protection of Power Transformer

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