Location of PDs inside transformer windings using UHF methods

Zheng, Shusheng; Li, Chengrong; Tang, Zhiguo; Chang, Wenzhi; He, Meng M.

doi:10.1109/tdei.2013.003863

Cited by 37 publications

(30 citation statements)

References 2 publications

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“…The time difference localization method consists of two main stages, namely, the estimation of the difference in arrival time and the solution of nonlinear equations of the time difference [1,5,13,14]. This method is often used for local positioning of mobile devices.…”

Section: Fig 3 Ndd Installation Diagrammentioning

confidence: 99%

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Method for the diagnosis of high-voltage dielectric elements during operation based on dynamic registration of electromagnetic radiation

et al. 2020

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Complex remote monitoring and the developed non-contact diagnostic device (NDD) allow monitoring the technical condition and revealing the residual life of high-voltage dielectric elements. It is based on non-contact remote periodic measurement of a set of diagnostic parameters (characteristics of electrical discharges emitted by insulators during operation) necessary for a reliable assessment of the operating state of high-voltage dielectric equipment at the moment of operation and determination of its residual life. NDDs are installed on each phase conductor and used to measure diagnostic parameters, followed by computer processing of the accumulated information signals. An analysis of the set of necessary diagnostic parameters makes it possible to form a conclusion on the degree of performance of dielectric elements. The paper considers a method for detecting defective high-voltage insulators using the developed non-contact diagnostic devices by the radio frequency method and assessing the difference in time of arrival of a partial discharge signal.

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Section: Fig 3 Ndd Installation Diagrammentioning

confidence: 99%

“…There are various computational algorithms that can be used to locate partial discharges in three dimensions: Newton-Raphson method [15], spatial grid search algorithm [13][14], Chan direct solution method [12], least squares method [1], Bancroft method [1].…”

Section: Fig 3 Ndd Installation Diagrammentioning

confidence: 99%

Method for the diagnosis of high-voltage dielectric elements during operation based on dynamic registration of electromagnetic radiation

et al. 2020

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“…A Gaussian pulse of width of 1.5 ns, current 1 A, and radiated UHF frequency in the range 0 to 1.5 GHz was used to represent the PD phenomenon [20,23,24,25]. Figure 4 shows the Gaussian pulse used to represent the PD pulse.…”

Section: Evaluation Of the Localisation Algorithmmentioning

confidence: 99%

UHF Partial Discharge Location in Power Transformers via Solution of the Maxwell Equations in a Computational Environment

Nobrega

Costa

Serres

et al. 2019

Sensors

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This paper presents an algorithm for the localisation of partial discharge (PD) sources in power transformers based on the electromagnetic waves radiated by a PD pulse. The proposed algorithm is more accurate than existing methods, since it considers the effects of the reflection, refractions and diffractions undergone by the ultra-high frequency (UHF) signal within the equipment tank. The proposed method uses computational simulations of the electromagnetic waves generated by PD, and obtains the time delay of the signal between each point in the 3D space and the UHF sensors. The calculated signals can be compared with the signals measured in the field, so that the position of the PD source can be located based on the best correlation between the simulated propagation delay and the measured data. The equations used in the proposed method are defined as a 3D optimisation problem, so that the binary particle swarm optimisation algorithm can be used. To test and demonstrate the proposed algorithm, computational simulations were performed. The solutions were sufficient to identify not only the occurrence of defects, but also the winding and the region (top, centre or base) in which the defect occurred. In all cases, an accuracy of greater than 15 cm was obtained for the location, in a 180 MVA three-phase transformer.

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“…Studies have been undertaken to improve sensor economy and observability. Though some exploratory research works have been carried out in these fields, most of them focused on transformer or conventional switchgear [14][15][16][17][18]. For instance, a spatial array of UHF sensors is used for transformer PD location.…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of UHF Sensors for Accurate Localization of Partial Discharge Source in GIS

Liang

Wu²,

Chi

et al. 2019

Energies

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This paper proposes an optimal placement model of ultra-high frequency (UHF) sensors for accurate location of partial discharge (PD) in gas-insulated switchgear (GIS). The model is based on 0-1 program in consideration of the attenuation influence on the propagation of electromagnetic (EM) waves generated by PD in GIS. the optimal placement plan improves the economy, observability, and accuracy of PD locating. After synchronously acquiring the time of the initial EM waves reaching each UHF sensor, PD occurring time can be obtained. Then, initial locating results can be acquired by using the Euclidean distance measuring method and the extended time difference of arriving (TDOA) location method. With the information of all UHF sensors and the inherent topological structure of GIS, the locating accuracy can be further improved. The method is verified by experiment, showing that the method can avoid the influence of false information and obtain higher locating accuracy by revising initial locating results.

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Location of PDs inside transformer windings using UHF methods

Cited by 37 publications

References 2 publications

Method for the diagnosis of high-voltage dielectric elements during operation based on dynamic registration of electromagnetic radiation

Method for the diagnosis of high-voltage dielectric elements during operation based on dynamic registration of electromagnetic radiation

UHF Partial Discharge Location in Power Transformers via Solution of the Maxwell Equations in a Computational Environment

Optimal Placement of UHF Sensors for Accurate Localization of Partial Discharge Source in GIS

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