Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique

Azirani, Mohammad Akbari; Ariannik, Mohamadreza; Werle, Peter; Akbari, Asghar

doi:10.1016/j.measurement.2020.108895

Cited by 23 publications

(2 citation statements)

References 19 publications

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“…Literature [5] [6] presents diagnostic methods grounded in physical or mathematical models of the component, but these are constrained by a singular usage environment and lack versatility due to the intricate nature of influencing factors. Signal processing-based detection methods proposed in existing literature fail to eliminate primary side power grid fluctuations [7] [8] [9], risking misjudgments or omissions during prolonged monitoring. Another proposed evaluation method relies on high-dimensional random matrices, addressing error changes on the order of 0.1% but exhibiting reduced accuracy for changes on the order of 0.01% [10].…”

Section: Introductionmentioning

confidence: 99%

Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection

Liu,

Shi,

et al. 2024

SGRE

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The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the power grid. This paper advances an online CVT error state evaluation method, anchored in the in-phase relationship and outlier detection. Initially, this method leverages the in-phase relationship to obviate the influence of primary side fluctuations in the grid on assessment accuracy. Subsequently, Principal Component Analysis (PCA) is employed to meticulously disentangle the error change information inherent in the CVT from the measured values and to compute statistics that delineate the error state. Finally, the Local Outlier Factor (LOF) is deployed to discern outliers in the statistics, with thresholds serving to appraise the CVT error state. Experimental results incontrovertibly demonstrate the efficacy of this method, showcasing its prowess in effecting online tracking of CVT error changes and conducting error state assessments. The discernible enhancements in reliability, accuracy, and sensitivity are manifest, with the assessment accuracy reaching an exemplary 0.01%.

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Section: Introductionmentioning

confidence: 99%

Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection

Liu,

Shi,

et al. 2024

SGRE

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“…Transient electromagnetic (EM) fields are generated in the form of pulses by various types of discharge (such as electrostatic discharge [ 1 ], partial discharge [ 2 ], pantograph arcing [ 3 ], and transmission line corona [ 4 ]), lightning [ 5 ], high-voltage switching operation [ 6 ], and nuclear detonation [ 7 ]. These EM pulses have the typical characteristics of a transient pulse signal with a sharp rising edge and an ultra-wide band (UWB); hence, both the time- and frequency-domain measurements pose some difficulties [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Jin

Liu

2022

Sensors

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The measurement of the transient pulsed electromagnetic (EM) field is essential for analyzing electromagnetic compatibility. Due to their good performance, D-dot sensors, combined with numerical integration computation for signal recovery, are commonly used to measure electromagnetic pulses (EMPs). However, the integration approach is occasionally flawed due to a non-ideal frequency response or noise, causing distortions in the reconstructed signal. In order to better understand the dynamic performance of the sensor, a nonlinear Hammerstein model is employed in the system identification for the sensor with the calibration data collected in the laboratory environment. When identifying the linear component based on the ultra-wideband characteristics of the measured transient pulse, a two-step identification approach with two different pulse excitation modes, low frequency and high frequency, is utilized to conduct the modeling across the entire frequency range. Based on the reliable identification and modeling of the D-dot sensor, a compensation system that corresponds to the nonlinear Hammerstein model has been developed for the practical signal recovery of the incident E-field. After compensation, the dynamic characteristics of the sensor are significantly improved, and the system compensation approach outperforms the integration method in signal recovery for the incident E-field.

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Weighted block ℓ1 norm induced 2D off-grid compressive beamforming for acoustic source localization: Methodology and applications

Wang,

Zhuang,

Zhang

et al. 2023

Applied Acoustics

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Optimal frequency selection for detection of partial discharges in power transformers using the UHF measurement technique

Cited by 23 publications

References 19 publications

Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection

Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection

Identification and Compensation for D-Dot Measurement System in Transient Electromagnetic Pulse Measurement

Weighted block ℓ1 norm induced 2D off-grid compressive beamforming for acoustic source localization: Methodology and applications

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