Winding deformation classification in a power transformer based on the time-frequency image of frequency response analysis using Hilbert-Huang transform and evidence theory

Shamlou, Alireza; Feyzi, Mohammad Reza; Behjat, Vahid

doi:10.1016/j.ijepes.2021.106854

Cited by 23 publications

(5 citation statements)

References 23 publications

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“…The prerequisite for a distortion-free transmission signal is a sufficient bandwidth [7]. The fiber optic transmitter and receiver are HBRF-15282 and HBRF-2528 from a circuit company, respectively, and the output signal front does not exceed 20ns.…”

Section: Variable Winding Deformation Detection Instrument Drive Circ...mentioning

confidence: 99%

Development of main transformer winding deformation detection instrument based on sweeping impedance method

Zhao,

Chen,

et al. 2023

Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023)

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Due to the lack of effective analysis of the short-circuit impedance curve in the main transformer winding deformation detection, the detection results are poor. Therefore, a method for developing a main transformer winding deformation detector based on swept frequency impedance method is proposed. Firstly, by combining power electronics and pulse power technology, a novel nanosecond pulse generator capable of outputting high voltage and stable repetition rate is proposed. Optoelectronic signals are selected as transmission signals to improve response speed and anti-interference ability, and the hardware circuit of the instrument is designed and optimized; Then, the frequency sweep impedance method is used to obtain and analyze the frequency sweep impedance curve and short-circuit impedance value of the transformer, reducing the detection error. The winding deformation detection is completed by comparing the changes before and after the transformer has a short-circuit fault. The results show that the standard deviation of the sweep impedance value of the main transformer winding deformation detector developed using this method is small and the detection accuracy is high.

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Section: Variable Winding Deformation Detection Instrument Drive Circ...mentioning

confidence: 99%

Development of main transformer winding deformation detection instrument based on sweeping impedance method

Zhao,

Chen,

et al. 2023

Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023)

View full text Add to dashboard Cite

show abstract

“…In recent years, with the rapid development of renewable energy technology, wind power constitutes an increasing proportion of the power system (Wu et al, 2021a;Shamlou et al, 2021;Huang et al, 2022). However, as the wind turbine (WT) does not contribute to the inertia of the power system, the total equivalent inertia of the power system will become smaller (Mahish and Pradhan, 2019;Wu et al, 2021b;Lin et al, 2022;Wu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dynamic synthetic inertial control method of wind turbines considering fatigue load

et al. 2023

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This paper proposes a dynamic synthetic inertia control method, considering the fatigue loads of the wind turbine. The control objectives include reducing the rate of change of frequency and frequency nadir of the power system and the fatigue load of the shaft and tower of the wind turbine. A frequency regulation model of the power system containing the primary operating dynamics of the wind turbine is established. The dynamic synthetic inertia control method is proposed according to the relationship between fatigue load, wind velocity, and frequency. Case studies are conducted with a wind turbine fatigue load under a synthetic inertia control with different weights for different wind velocities and system loads. Therefore, the dynamic weights are obtained. Comparing the rate of change of frequency and frequency nadir and equivalent damage load, the efficacy of the proposed method is verified.

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“…At present, the detection methods for transformer faults are mainly divided into offline detection methods and online monitoring methods. Off-line detection commonly used oil chromatography (Gao and He, 2010;Alshehawy, et al, 2021;Emara et al, 2021;Wu et al, 2021), frequency response method (Shamlou et al, 2021), the technology is relatively mature, but the maintenance is limited by the operation cycle cannot be real-time monitoring and timely detection of faults. The method of realtime online monitoring is the main research direction at present.…”

Section: Introductionmentioning

confidence: 99%

Early fault diagnosis of transformer winding based on leakage magnetic field and DSAN learning method

et al. 2023

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Aiming at the problem of lack of training samples and low accuracy in transformer early winding fault diagnosis, this paper proposes a transformer early faults diagnosis method based on transfer learning and leakage magnetic field characteristic quantity. The method uses the leakage magnetic field waveform on the measuring point of the simulated transformer winding to draw the Lissajous figure to calculate the characteristic quantity. The characteristic quantity of the simulation model is used to train the convolutional neural network (CNN) faults classification model. The CNN fault classification model is transferred to the actual transformer fault detection through the improved deep subdomain adaptive network (DSAN), so as to realize the fault diagnosis of the actual transformer by the classification model trained by the simulation data. The test examples of the actual transformer early fault experimental platform and the leakage magnetic field measurement platform are established, and the feasibility of the transfer learning method based on the leakage magnetic field feature quantity proposed in this paper is verified.

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Winding deformation classification in a power transformer based on the time-frequency image of frequency response analysis using Hilbert-Huang transform and evidence theory

Cited by 23 publications

References 23 publications

Development of main transformer winding deformation detection instrument based on sweeping impedance method

Development of main transformer winding deformation detection instrument based on sweeping impedance method

Dynamic synthetic inertial control method of wind turbines considering fatigue load

Early fault diagnosis of transformer winding based on leakage magnetic field and DSAN learning method

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