Protection system analysis using fault signatures in Malaysia

Zin, Abdullah Asuhaimi Mohd; Karim, Sazali P. Abdul

doi:10.1016/j.ijepes.2012.08.025

Cited by 21 publications

(9 citation statements)

References 32 publications

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“…In other words, once the signatures are identified, it is possible to locate the damaged insulator strings where the electrical activities occur. For this task neural, networks were chosen due to being a technique that has achieved good results in similar applications (Zin et al, 2013;Tadeusiewicz et al, 2000). …”

Section: Fundamentals Of the Proposed Methodsmentioning

confidence: 99%

Development of a system for detecting and locating damaged insulator strings with signals collected at substations

et al. 2015

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This paper presents a novel technique for remotely identifying and locating of damaged insulator strings based on an analysis of noise signals recorded on the ground connection of current transformers installed on transmission line substations. Damaged insulators usually present electrical surface activity. Surface and corona discharges may result in the generation of high frequency signals that can travel through the transmission line conductors, which are recorded by a data acquisition system. Each signal generated by the surface or corona discharge has a unique signature. This signature changes according to the position of the source, i.e., the damaged string along the line, which enables the association between the signal signature and the location of the string along the line. A method proposed to achieve this association is discussed in this paper as well as the tools and tests carried out during its development. An innovative way for capacitive coupling, which reduce detection system implementation costs is presented.Keywords: insulator strings, transmission line, neural network, current transformer. RESUMENEste artículo presenta una nueva técnica para la identificación y la localización remota de las cadenas de aisladores dañadas basadas en el análisis de las señales de ruido registradas en la conexión a tierra de los transformadores de corriente instalados en subestaciones de línea de transmisión. Aisladores dañados suelen presentar actividad eléctrica superficial que pueden resultar en la generación de señales de alta frecuencia que pueden viajar a través de los conductores de la línea de transmisión y ser registrados por un sistema de adquisición de datos. Cada señal generada por la descarga superficial o corona tiene una firma única. Esta firma cambia con la posición de la fuente (aislador dañado) a lo largo de la línea, lo que hace posible la asociación entre la firma de la señal y la localización de la cadena a lo largo de la línea. Un método propuesto para lograr esta asociación se analiza en este trabajo, así como las herramientas y pruebas llevadas a cabo durante el desarrollo. Se utiliza una forma innovadora de acoplamiento capacitivo, lo que reduce los costos de implementación del sistema de detección.Palabras clave: cadenas de aisladores, línea de transmisión, redes neuronales, transformador de corriente.

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Section: Fundamentals Of the Proposed Methodsmentioning

confidence: 99%

Development of a system for detecting and locating damaged insulator strings with signals collected at substations

et al. 2015

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“…It is believed that the disturbance variation of electrical quantity after faults occurring contains important transient information for fault diagnosis [33]. The original waveform data are recorded in COMTRADE files with the sampling frequency of 5 kHz.…”

Section: Waveform Characteristicsmentioning

confidence: 99%

Transmission Line Fault-Cause Identification Based on Hierarchical Multiview Feature Selection

et al. 2021

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Fault-cause identification plays a significant role in transmission line maintenance and fault disposal. With the increasing types of monitoring data, i.e., micrometeorology and geographic information, multiview learning can be used to realize the information fusion for better fault-cause identification. To reduce the redundant information of different types of monitoring data, in this paper, a hierarchical multiview feature selection (HMVFS) method is proposed to address the challenge of combining waveform and contextual fault features. To enhance the discriminant ability of the model, an ε-dragging technique is introduced to enlarge the boundary between different classes. To effectively select the useful feature subset, two regularization terms, namely l2,1-norm and Frobenius norm penalty, are adopted to conduct the hierarchical feature selection for multiview data. Subsequently, an iterative optimization algorithm is developed to solve our proposed method, and its convergence is theoretically proven. Waveform and contextual features are extracted from yield data and used to evaluate the proposed HMVFS. The experimental results demonstrate the effectiveness of the combined used of fault features and reveal the superior performance and application potential of HMVFS.

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“…DFR also has high recording sampling frequency at a higher range (5 kHz) compared with a protective relay (1 kHz). DFR records the instant values (waveforms) of the current and voltages, which may be sampled many times per cycle [36][37][38].…”

Section: Fault Analysis On Electric Power Transmission Linesmentioning

confidence: 99%

Review on solar disturbance studies and electric power transmission line fault in Malaysia

Alias

Homam

Noh

2020

IJEECS

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<span lang="EN-GB">This work is a review on previous research and studies on the solar disturbance activities and faults that occur on the electric power transmission line. Research has shown that low latitude regions could also be affected by solar disturbance events. The effects of these events on earth are considerable and may cause electric power transmission failure. Geomagnetically induced current is one of the ground impacts to the transmission line, which may cause fault or disturbance and consequently power system failure. Solar disturbance data from magnetometers and electric power transmission line fault data from a digital fault recorder are reviewed in this work. These data would be valuable in determining the characteristics and effects of solar disturbances on Malaysia’s electric power transmission lines.</span>

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Protection system analysis using fault signatures in Malaysia

Cited by 21 publications

References 32 publications

Development of a system for detecting and locating damaged insulator strings with signals collected at substations

Development of a system for detecting and locating damaged insulator strings with signals collected at substations

Transmission Line Fault-Cause Identification Based on Hierarchical Multiview Feature Selection

Review on solar disturbance studies and electric power transmission line fault in Malaysia

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