[논문]A Study on the Pattern Recognition Rate of Partial Discharge in GIS using an Artificial Neural Network

Kang Yoon-Sik; Lee Chang-Joon; Kang Won-Jong; Lee Hee-Cheol; Park Jong-Wha

A Study on the Pattern Recognition Rate of Partial Discharge in GIS using an Artificial Neural Network 원문보기

KIEE international transactions on electrophysics and applications, v.5C no.2, 2005년, pp.63 - 66

Kang Yoon-Sik (Power Testing & Technology Institute, LS Industrial Systems) , Lee Chang-Joon (Power Testing & Technology Institute, LS Industrial Systems) , Kang Won-Jong (Power Testing & Technology Institute, LS Industrial Systems) , Lee Hee-Cheol (Power Testing & Technology Institute, LS Industrial Systems) , Park Jong-Wha (Power Testing & Technology Institute, LS Industrial Systems)

Abstract ▼ AI-Helper

This paper describes analysis and pattern recognition techniques for Partial Discharge(PD) signals in Gas Insulated Switchgears (GIS). Detection of PD signals is one of the most important factors in the predictive maintenance of GIS. One of the methods of detection is electro magnetic wave detection within the Ultra High Frequency (UHF) band (300MHz $\~$ 3GHz). In this paper, PD activity simulation is generated using three types of artificial defects, which were detected by a UHF PD sensor installed in the GIS. The detected PD signals were performed on three-dimensional phi-q-n analysis. Finally, parameters were calculated and an Artificial Neural Network (ANN) was applied for PD pattern recognition. As a result, it was possible to discriminate and classify the defects.

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문제 정의

This study was carried out as part of a research project funded by the Government.

가설 설정

(b) A floating particle using insulation material between HV conductor and enclosure.

제안 방법

Therefore, UHF signal detection techniques that remain unaffected by background-noise have begun to receive wide recognition. In this experiment, IEC 60270 and UHF signal detection techniques were performed simultaneously. PD data was acquired by using an oscilloscope and data acquisition unit (DAU).
In this paper, we performed PD pattern recognition based on ANN technique, and presented the above pattern recognition rate.
In this paper, we performed phi-q-n analysis using narrow band measurement, which has a center frequency of 490MHz and a frequency range from 300MHz to 1.5GHz.

대상 데이터

Also, the diameter of the inner conductor is 120mm and the diameter of the enclosure is 490mm. The UHF PD experiment system was composed of an AC 100[kV] transformer, a 1000:1 voltage divider, three kinds of artificial defects, a CT type PD sensor, a spectrum analyzer (Agilent 4402, 9kHz-3 GHz), an internal type UHF PD sensor, a pre-amplifier, a digital oscilloscope (Lecroy WM8300A) and PC, etc.
This sensor was mounted on the hatch cover using a zeolite cover. This GIS has two inspection windows and two spacers. Also, the diameter of the inner conductor is 120mm and the diameter of the enclosure is 490mm.

이론/모형

It is consisted of the input layer, at least one hidden layer and the output layer. The learning process used in this work was the back-propagation algorithm. This is a very commonly used learning method for ANN.

참고문헌 (9)

Sander Meijer, 'Partial Discharge Diagnosis of Highvoltage Gas-Insulated Systems', Optima Grafische Communicatie Rotterdam, ISBN 90-77017-23-2
Nicholas de kock, Branko Coric and Ralf Pietsch, 'UHF PD detection in gas insulated switchgearsuitability and sensitivity of the UHF method in comparison with the IEC 270 method', IEEE Electrical Insulation Magazine, Vol. 12, No. 6, pp. 20-26, 1996

상세보기
S. Meijer, E. Gulski, J. J. Smit, 'Pattern analysis of Partial Discharges in SF6 GIS', IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 5, No. 6, pp. 830-842, Dec., 1998

상세보기
Anil K, Jianchang Mao, K. M. Mohiuddin, 'Artificial Neural Networks: A Tutorial', IEEE, Mar., 1996
Minsky and Papert, 'Perceptrons', MIT press, Cambridge, 1969
J. G. Choi, S. H. Yi, K. H. Kim, I. S. Kim and J. C. Kim, 'Detection Characteristics of a Novel Coupler for GIS PD Detection,' KIEE Int. Trans. On EA, Vol. 3-C, No.6, 2003
Peng Yuan, 'An automated recognition system of ultrahigh-frequency PD in transformers', 2002 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, pp. 514-517
K. W. Lee, K. J. Lim and S. H. Kang, 'Application of RBFN using LPC of PD Pulse Shapes for Discriminating Among Multi PD Sources,' KIEE Int. Trans. On EA, Vol.3-C, No.5, 2003
M. Oyama, E. Hanai, H. Aoyagi, 'Development of detection and diagnostic techniques for partial discharges in GIS', IEEE Transactions on Power Delivery, Vol. 9, No. 2, pp. 811-818, April 1994

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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