Testing of differential relay operation for power transformers protection using RTDS

Moravej, Zahra; Bagheri, Sajad

doi:10.1109/ipsc.2015.7827733

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…A successful monitoring system can thus minimize downtime and prevent transformer failure by triggering tailored predictive maintenance. The most common transformer monitoring techniques include thermal analysis, winding vibration, motion and deformation analysis, dissolve gas analysis, partial discharge analysis, and tapping under load analysis [1].…”

Section: Introductionmentioning

confidence: 99%

3D Acoustic Heat-Maps for Transformer Monitoring Applications

Fuhrmann,

Maly,

Blass

et al. 2024

joe

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We present a novel approach for measuring and representing acoustic emissions of transformers. The representation of location-based acoustic emissions enables improved monitoring of transformers, e.g., to detect and predict anomalies and failure events. Here, we introduce 3D acoustic heatmaps to visualize the sound emission patterns of a transformer. We use a combined sensing approach consisting of a 3D point cloud, a microphone array, and beamforming algorithms to generate the distributed representation of acoustic emissions over the entire surface of the transformer. In a further step, we intend to apply machine learning methods to the generated data to enable early fault prevention and predictive maintenance.

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Section: Introductionmentioning

confidence: 99%

3D Acoustic Heat-Maps for Transformer Monitoring Applications

Fuhrmann,

Maly,

Blass

et al. 2024

joe

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“…In HiL, RTDS reproduces events that can appear in an electric power system modelled in RSCAD software, generating currents and voltages seen by the relay during a fault and recording the relay behavior. Examples of RTDS test applications can be found in [19][20][21][22]. In this study, RTDS publishes and subscribes sampled values using IEC 61850-9-2 LE profile [23] and GOOSE messages using IEC 61850-8-1.…”

Section: Introductionmentioning

confidence: 99%

Faulted Phase Selection Multicriteria Algorithm Implemented in Generic Hardware for Centralized P&C in Smart Grids

Martínez¹,

Comech²,

Prada³

et al. 2023

Preprint

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“…The urgency of the problem is associated with the severity of the consequences (costs, damage) that arise as a result of errors in the diagnosis, based on which untimely and unjustified decisions are made to withdraw equipment for repair or refuse to repair. Numerous studies have been devoted to solving this problem, the results of which are particularly reflected in the following publications [1]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…It is customary to distinguish between instrumental and methodical reliability of diagnosis [1]. Instrumental reliability is determined by the composition and stability of the object's diagnostic parameters, the specified tolerances, as well as the accuracy, sensitivity, and condition of the measuring instruments [4], [5]. Methodical reliability, as a rule, is associated with the processing of measurement results, the choice of diagnostic features, and criteria for assessing the technical condition of the equipment [6]- [9].…”

Section: Introductionmentioning

confidence: 99%

An innovative method of fault detection in power transformers

Levin

Yahya

2022

IJECE

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The Bayesian classifier is a priori the optimal solution for minimizing the total error in problems of statistical pattern recognition. The article suggests using the classifier as a regular tool to increase the reliability of defect recognition in power oil-filled transformers based on the results of the analysis of gases dissolved in oil. The wide application of the Bayesian method for solving tasks of technical diagnostics of electrical equipment is limited by the problem of the multidimensional distribution of random parameters (features) and the nonlinearity of classification. The application of a generalized feature of a defect in the form of a nonlinear function of the transformer state parameters is proposed. This simultaneously reduces the dimension of the initial space of the controlled parameters and significantly improves the stochastic properties of the random distribution of the generalized feature. A special algorithm has been developed to perform statistical calculations and the procedure for recognizing the current technical condition of the transformer using the generated decision rule. The presented research results illustrate the possibility of the practical application of the developed method in the conditions of real operation of power transformers.

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Testing of differential relay operation for power transformers protection using RTDS

Cited by 4 publications

References 5 publications

3D Acoustic Heat-Maps for Transformer Monitoring Applications

3D Acoustic Heat-Maps for Transformer Monitoring Applications

Faulted Phase Selection Multicriteria Algorithm Implemented in Generic Hardware for Centralized P&C in Smart Grids

An innovative method of fault detection in power transformers

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