Partial Discharge Localization in Transformers Using Detailed Modeling of Winding and Calibration Pulses

Jafari, Ali; Akbari, Asghar; Kharezi, M.

doi:10.1109/icsd.2007.4290869

Cited by 10 publications

(3 citation statements)

References 2 publications

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“…Based on this, with the help of Matlab software, signals with varied ranges were produced and enforced in various points of the winding in two models. Having the quantities of transfer functions and impulse supposition for the partial discharge current using relations (11) and (12), we can obtain the voltage amounts in the beginning and in the end of the winding for various quantities of injection locations of partial discharge pulse in the two models of RLC and MTL [5,11].…”

Section: Pd Localization Algorithmmentioning

confidence: 99%

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Partial Discharge Localization Based on Detailed Models of Transformer and Wavelet Transform Techniques

Hosseini¹,

Baravati²

2015

Journal of Electrical Engineering and Technology

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Partial Discharge (PD) is a physical phenomenon, which causes defects and damages to the insulation. This phenomenon is regarded as the most important source of fault and defect in power transformers. Therefore, methods of high speed and precision are considered of special importance for the maintenance of transformers in localization of the origin of partial discharge. In this paper, the transformer winding is first modeled in a transient state by using RLC ladder network and multiconductor transmission line (MTL) models. The parameters of the two models were calculated by Ansoft Maxwell software, and the simulations were performed by Matlab software. Then, the PD pulses were applied to the models with different widths of pulses. With regard to the fact that the signals received after the application of PD had a variable frequency nature over time, and based on the wavelet transform and signal energy, a new method was presented for the localization of PD. Ultimately; the mentioned method was implemented on a 20 kV winding distribution transformer. Then, the performances of the models used in this paper, including RLC and MTL models, were compared in different frequency bands for the correct distinction of partial discharge location.

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Section: Pd Localization Algorithmmentioning

confidence: 99%

“…According to the studies done in this respect, we can mention three models: the traveling wave model [3] multi-conductor transmission line model (MTL) [4] and RLC ladder network [5].…”

Section: Introductionmentioning

confidence: 99%

Partial Discharge Localization Based on Detailed Models of Transformer and Wavelet Transform Techniques

Hosseini¹,

Baravati²

2015

Journal of Electrical Engineering and Technology

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“…Narrow band devices in the frequency range of 9 KHz to 30 KHz, broadband measuring devices up to 400 KHz and very wide band devices due to the advancement of technology are able to amplify partial discharge pulses in the very wide frequency range up to 100 MHz [5]. In [6], localization is investigated by using calibrated pulses and consider impedance influences in the model. In [7], the localization is investigated by using the multi-wire transmission line model.…”

Section: Introductionmentioning

confidence: 99%

Electrical modeling of high voltage windings of power transformers for online partial discharge localization

Hamidi

Hamidi²,

Setayeshmehr³

2022

Preprint

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Partial Discharge (PD) is one of the most important factors in the gradual destruction of transformer insulation, more importantly if the problem is not resolved can cause complete insulation failure. Physical localization of the fault inside the transformers in terms of saving repair time and cost is important. In this paper, by modeling a high voltage winding of a power transformer as a single-layer disk winding with air core the localization of PD is investigated. In this configuration, winding consists of six disks. Here, by applying impulse voltage as PD signal to the beginning of each disk, the voltages are measured and saved online at the bushing and neutral ends of the winding. By using the curve fitting method, the equations of PD signals at these two ends are extracted, then by computing transfer function in Laplace domain the magnitude of this transfer function are saved as a reference diagram. We have done this for all 6 disks. When PD occurred at winding by measuring voltages at bushing and neutral ends and drawing transfer function and comparison with reference diagrams, each diagram that has minimum difference with drawn diagram is the place of PD. Finally, the proposed method is validated with a laboratory winding with six disks.

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Classification of Partial Discharges in Power Transformers Using a Method Based in Partial Areas

Casignia,

Cisneros,

Freire

et al. 2022

Lecture Notes in Electrical Engineering

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Partial Discharge Localization in Transformers Using Detailed Modeling of Winding and Calibration Pulses

Cited by 10 publications

References 2 publications

Partial Discharge Localization Based on Detailed Models of Transformer and Wavelet Transform Techniques

Partial Discharge Localization Based on Detailed Models of Transformer and Wavelet Transform Techniques

Electrical modeling of high voltage windings of power transformers for online partial discharge localization

Classification of Partial Discharges in Power Transformers Using a Method Based in Partial Areas

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