• Title/Summary/Keyword: on-line fault detection

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Fault Line Detection Methodology for Four Parallel Lines on the Same Tower

  • Li, Botong;Li, Yongli;Yao, Chuang
    • Journal of Electrical Engineering and Technology
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    • v.9 no.4
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    • pp.1217-1228
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    • 2014
  • A method for faulted line detection of four parallel lines on the same tower is presented, based on four-summing and double-differential sequences of one terminal current. Four-summing and double-differential sequences of fault current can be calculated using a certain transformation matrix for parameter decoupling of four parallel transmission lines. According to fault boundary conditions, the amplitude and phase characteristics of four-summing and double-differential sequences of fault current is studied under conditions of different types of fault. Through the analysis of the relationship of terminal current and fault current, a novel methodology for fault line detection of four parallel transmission line on the same tower is put forward, which can pick out the fault lines no matter the fault occurs in single line or cross double lines. Simulation results validate that the methodology is correct and reliable under conditions of different load currents, transient resistances and fault locations.

ON-LINE FAULT DETECTION METHOD ACCOUNTINE FOR MODELLING ERRORS

  • Kim, Seong-Jin;Kwon, Oh-Kyu
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10b
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    • pp.1228-1233
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    • 1990
  • This paper proposes a robust on-line fault detection method for uncertain systems. It is based on the fault detection method [10] accounting for modelling errors, which is shown to have superior performance over traditional methods but has some computational problems so that it is hard to be applied to on-line problems. The proposed method in this paper is an on-line version of the fault detection method suggested in [10]. Thus the method has the same detection performance robust to model uncertainties as that of [10]. Moreover, its computational burden is shown to be considerably lessened so that it is applicable to on-line fault detection problems.

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A Study on Fault Detection for Transmission Line using Discrete Daubechies Wavelet Transform (이산 Daubechies 웨이브릿 변환을 이용한 송전선로의 고장검출)

  • Lee, Kyung-Min;Park, Chul-Won
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.66 no.1
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    • pp.27-32
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    • 2017
  • This paper presents a Daubechies wavelet-based fault detection method for fault identification in transmission lines. After the Daubechies wavelet coefficients are calculated, the proposed algorithm has been implemented difference equation using C language. We have modeled a 154kV transmission line using the ATPDraw software and have acquired test data. In order to evaluate effects of DC offset, simulations carried out while varying an inception angle of the voltage $0^{\circ}$, $45^{\circ}$, $90^{\circ}$. For performance evaluation, fault distance was varied. As we can see from the off-line simulation, the proposed algorithm shows rapid and accurate fault detection. Also we can see the proposed algorithm is not affected by the fault inception angle change.

The Study on The Complex Composition By SFCL and Power Equipments for Fault Detection in HVDC Line (HVDC 선로 내 초전도 한류기와 전력기기들의 복합 구성을 통한 고장 검출에 관한 연구)

  • Kim, Myong-Hyon;Kim, Jae-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.8
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    • pp.1113-1118
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    • 2018
  • Protection in HVDC(High Voltage Direct Current) have the very fast velocity of fault detection. Because Fault in HVDC has the fast propagation, large currents, high interruption cost. The focus to velocity caused possibility of errors like a detection error like a high impedance fault. In this paper, Proposed complex composition for get the reliability and velocity. That used SFCL(Super Conducting Fault Current Limiter), Protection Zone and DTS(Distributed Temperature Sensing). The SFCL was detect the fault by quench and DTS&Protection Zone were perceive the detect by variation too. To examine the proposed method, PSCAD/EMTDC simulated. The results of simulation, proposed methods could the detect of fault to whole HVDC line. And that improved the reliability of fault clearing.

Fault Detection Method for Multivariate Process using ICA (독립성분분석을 이용한 다변량 공정에서의 고장탐지 방법)

  • Jung, Seunghwan;Kim, Minseok;Lee, Hansoo;Kim, Jonggeun;Kim, Sungshin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.2
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    • pp.192-197
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    • 2020
  • Multivariate processes, such as large scale power plants or chemical processes are operated in very hazardous environment, which can lead to significant human and material losses if a fault occurs. On-line monitoring technology, therefore, is essential to detect system faults. In this paper, the ICA-based fault detection method is conducted using three different multivariate process data. Fault detection procedure based on ICA is divided into off-line and on-line processes. The off-line process determines a threshold for fault detection by using the obtained dataset when the system is normal. And the on-line process computes statistics of query vectors measured in real-time. The fault is detected by comparing computed statistics and previously defined threshold. For comparison, the PCA-based fault detection method is also implemented in this paper. Experimental results show that the ICA-based fault detection method detects the system faults earlier and better than the PCA-based method.

High Impedance Fault Detection using Wavelet Transform (Wavelet 변환을 이용한 고저항 지락고장 검출)

  • Kim, Hyun;Kim, Chul-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.12
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    • pp.1492-1497
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    • 1999
  • High impedance fault(HIF) is defined as fault the general overcurrent relay can not detect or interrupt. Especially when HIF occur in residential areas, energized high voltage conductor results in fire hazard, equipment damage or personal threat. This paper proposes the model of the high impedance fault in transmission line using the ZnO arrester and resistance to be implemented within EMTP. The performance of the proposed model is tested on a typical 154[kV] korean transmission line system under various fault conditions. Wavelet transform is efficient and useful for the detection of high impedance fault in power system, because it uses variable windows according to frequency. In this paper, HIF detection method using wavelet transform can distinguish HIF form similar fault like arcfurance load, capacitor bank switching and line switching.

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A Study on the Defection of Arcing Faults in Transmission Lines and Development of Fault Distance Estimation Software using MATLAB (MATLAB을 이용한 송전선로의 아크사고 검출 및 고장거리 추정 소프트웨어 개발에 관한 연구)

  • Kim, Byeong-Cheon;Park, Nam-Ok;Kim, Dong-Su;Kim, Gil-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.4
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    • pp.163-168
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    • 2002
  • This paper present a new verb efficient numerical algorithm for arcing faults detection and fault distance estimation in transmission line. It is based on the fundamental differential equations describing the transients on a transmission line before, during and alter the fault occurrence, and on the application of the "Least Error Squares Technique"for the unknown model parameter estimation. If the arc voltage estimated is a near zero, the fault is without arc, in other words the fault is permanent fault. If the arc voltage estimated has any high value, the faust is identified as an fault, or the transient fault. In permanent faults case, fault distance estimation is necessary. This paper uses the model of the arcing fault in transmission line using ZnO arrestor and resistance to be implemented within EMTP. One purpose of this study is to build a structure for modeling of arcing fault detection and fault distance estimation algorithm using Matlab programming. In this paper, This algorithm has been designed in Graphic user interface(GUI).

On-Line Fault Diagnosis System using Neural Network (신경망을 이용한 실시간 고장 진단 시스템)

  • 김문성;유승선;소정훈;곽훈성
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.11C
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    • pp.75-84
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    • 2001
  • In this paper, we propose an on-line FDD(Fault Detection and Diagnosis) system based on the three layer feed-forward neural network which is trained by the back-propagation teaming algorithm. We implement the on-line fault detection and diagnosis system by Visual C++ and Visual Basic. The proposed FDD system is applied to an air handling unit in operation. Experimental results show the high performance of our system in the task of fault detection and diagnosis.

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A Study on the Fault Detection and Discrimination of Transmission Line using Fault-generated High Frequency Signals (고주파를 이용한 송전선로의 사고 검출 및 판별에 관한 연구)

  • Lee, Dong-Jun;Kim, Chul-Hwan;Kim, Il-Dong
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.8
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    • pp.924-931
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    • 1999
  • Most conventional protection relays are based on processing information in the spectrum that is close to or at power frequency. It is, however, widely known that faults on transmission lines produce frequency components of a wide range. High frequency signals caused by sudden changes in system voltage that occurs in the immediate post-fault period are generally outside the bandwidth of receptibility of most protection scheme. In this respect, a specially designed stack tuner is connected to the coupling capacitor of CVT, in order to capture the high frequency signals. Digital signal processing is then applied to the captured information to determine whether the fault is inside or outside the protected zone, and to discriminate the fault type. In this paper, modal transform is not applied to fault generated signals, because signals which are converted by modal transform are not have an information of each phase any longer. Instead, using peak voltage value of data windows is able to discriminate fault type. The paper concludes by presenting fault detection and discrimination of various faults on transmission line which are based on extensive simulation studies carried out on a typical 154kV Korean transmission line, using the EMTP software.

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A Study on the Online Fault Detection System to construct the knowledge based Maintenance System of Intelligent Highway Information System (지능형 도로정보체계의 유지관리 지식기반 구축을 위한 온라인 고장검출 시스템 연구)

  • Ryu, Seung-Ki;Choi, Do-Hyuk;Choi, Tae-Soon;Moon, Hak-Yong;Kim, Young-Chun;Hong, Gyu-Jang
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.677-679
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    • 1999
  • This paper introduces a implementation of fault detection for national highway line 3. Fault detection system was installed and operated on national highway line 3, environmental elements caused by abnormal status or faults has often happened. Therefore, the function of fault detection system is to speedy notify fault site, cause as well as scale of fault to manager. Though the fault detection and diagnosis system has been imported in the field of process of water and electric power, it is just beginning step in the field of ITS(Intelligent Transportation Systems). In general, Maintenance system is performed the online/offline process of detection, diagnosis and measure. This paper is studied online detection process, which is realtime remote detection.

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