Risk assessment on defects in GIS based on PD diagnostics

Schichler, Uwe; Kołtunowicz, W.; Endo, Fumio; Feser, K.; Giboulet, A.; Girodet, A.; Hama, Hiroyuki; Hampton, B.F.; Kranz, H.-G.; Lopez-Roldan, J.; Lundgaard, L.E.; Meijer, S.; Neumann, Claus; Okabe, Shigemitsu; Pearson, J.S.; Pietsch, R; Riechert, Uwe; Tenbohlen, Stefan

doi:10.1109/tdei.2013.6678866

Cited by 75 publications

(23 citation statements)

References 7 publications

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“…The calibration voltage source uses YDTW-10/100 non-partial-discharge power frequency test transformer, which consists of control panel, anti-corona test transformer, protection resistor R p and anti-corona coupling capacitor C c . It can provide 0.001-100 kV alternating current (AC) output without partial discharge (PD), which can affect the calibration process [26][27][28]. After the test voltage is output from the anti-corona test transformer, it reaches the metal disk through the protective resistor, and the metal disk is connected to the coupling capacitor.…”

Section: Voltage Division Ratio Calibrationmentioning

confidence: 99%

Research and Experiments on an External Miniaturized VFTO Measurement System

Lizhe

Zhang

Tan

et al. 2019

Sensors

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Disconnect switch and circuit breakers operations in gas insulated switchgear (GIS) systems may produce very fast transient overvoltage (VFTO). Detecting VFTO is the first step for researchers to reduce the damage to other equipment of the substation caused by VFTO. Most of the existing sensors used for VFTO are generally bulky, complex to install, and require modification of the GIS structure. In this paper, a miniaturized measurement system that uses capacitive voltage divider and differentiating–integrating circuit is proposed. A special sensor structure and optimized differentiating–integrating circuit components arrangement were designed to increase the bandwidth of the measurement system. The frequency-domain, time-domain and voltage divide calibration experiment was performed, and a comparison experiment with an internal VFTO sensor was conducted. The measurement system was applied in the 500 kV GIS substation, and the VFTO measurement under specific conditions was carried out. The measured time domain and frequency domain waveforms conformed to the definition of standard VFTO according to IEC 60,071. It was found that the proposed measurement system meets VFTO measurement requirements and can be applied to actual VFTO measurements.

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Section: Voltage Division Ratio Calibrationmentioning

confidence: 99%

Research and Experiments on an External Miniaturized VFTO Measurement System

Lizhe

Zhang

Tan

et al. 2019

Sensors

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“…CIGRE's statistics show that about 30% dielectric failures of gas insulated switchgears (GIS) are related to design deficiencies [1]. Through the analysis of a large amount of partial discharge (PD) data from GIS in service, we also found that the proportion of PD cases caused by design reasons is high.…”

Section: Introductionmentioning

confidence: 97%

Partial Discharge Data Matching Method for GIS Case-Based Reasoning

et al. 2019

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With the accumulation of partial discharge (PD) detection data from substation, case-based reasoning (CBR), which computes the match degree between detected PD data and historical case data provides new ideas for the interpretation and evaluation of partial discharge data. Aiming at the problem of partial discharge data matching, this paper proposes a data matching method based on a variational autoencoder (VAE). A VAE network model for partial discharge data is constructed to extract the deep eigenvalues. Cosine distance is then used to calculate the match degree between different partial discharge data. To verify the advantages of the proposed method, a partial discharge dataset was established through a partial discharge experiment and live detections on substation site. The proposed method was compared with other feature extraction methods and matching methods including statistical features, deep belief networks (DBN), deep convolutional neural networks (CNN), Euclidean distances, and correlation coefficients. The experimental results show that the cosine distance match degree based on the VAE feature vector can effectively detect similar partial discharge data compared with other data matching methods.

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“…Various abnormalities that cause dielectric breakdown of GISs also cause partial discharge before dielectric breakdown. Therefore, detecting partial discharges (PDs) in GISs to avoid failures and ensure high reliability and safety is crucial [1][2][3][4][5][6]. Various electrical, mechanical, and chemical methods have been used to detect PDs in GISs [7,8].…”

Section: Introductionmentioning

confidence: 99%

Recurrent Neural Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear

Nguyen

Yun³

et al. 2018

Energies

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The analysis of partial discharge (PD) signals has been identified as a standard diagnostic tool for monitoring the condition of different electrical apparatuses. This study proposes an approach to detecting PD patterns in gas-insulated switchgear (GIS) using a long short-term memory (LSTM) recurrent neural network (RNN). The proposed method uses phase-resolved PD (PRPD) signals as input, extracts low-level features, and finally, classifies faults in GIS. In the proposed method, LSTM networks can learn temporal dependencies directly from PRPD signals. Most existing models use support vector machines (SVMs) and mainly focus on improving feature representation and extraction manually to analyze PRPD signals. However, the proposed model captures important temporal features with the help of its low-level feature extraction capability from raw inputs. It outperforms conventional SVMs and achieves 96.74% classification accuracy for PRPDs in GIS.

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Risk assessment on defects in GIS based on PD diagnostics

Cited by 75 publications

References 7 publications

Research and Experiments on an External Miniaturized VFTO Measurement System

Research and Experiments on an External Miniaturized VFTO Measurement System

Partial Discharge Data Matching Method for GIS Case-Based Reasoning

Recurrent Neural Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear

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