Now showing 1 - 9 of 9
  • Publication
    Fault localization and detection in medium voltage distribution network using adaptive neuro-fuzzy inference system (anfis)
    ( 2021-01-01)
    Jamili N.S.B.
    ;
    ;
    Salman W.S.A.W.
    ;
    ;
    This paper provides an overview method of ANFIS to improve the performance of locating and detecting a single line to ground fault in medium voltage (MV) distribution power system network. For this research, the proposed method used faulted current signals from the network as an input in ANFIS to obtain the expected fault location and detection. In order to accurately locate the faults in the network, an ANFIS was trained and tested using various sets of data, which was obtained from the simulation of faults at various fault scenarios such as inception angle, load, fault location, and fault resistance. Based on the result obtain, the fault distance, major and minor branch of the single line to ground fault can be located with minimal error.
  • Publication
    Differential equation fault location algorithm with harmonic effects in power system
    About 80% of faults in the power system distribution are earth faults. Studies to find effective methods to identify and locate faults in distribution networks are still relevant, in addition to the presence of harmonic signals that distort waves and create deviations in the power system that can cause many problems to the protection relay. This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. The developed algorithm considers the presence of harmonics components in the simulation network. In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. Several fault scenarios have been implemented during the simulation, such as fault resistance, fault distance, and fault inception angle. The final results show that the proposed algorithm can estimate the fault distance successfully with an acceptable fault location error. Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.
  • Publication
    Two-terminal fault detection and location for hybrid transmission circuit
    This paper presents the algorithms developed to detect and locate the faults at a hybrid circuit. First, the fault detection algorithm was developed using the comparison of total positive-sequence fault current between pre-fault and fault times to detect the occurrence of a fault. Then, the voltage check method was used to decide whether the fault occurred at overhead line (OHL) or cable section. Finally, the fault location algorithm using the impedance-based method and negative-sequence measurements from both terminals of the circuit were used to estimate the fault point from local terminal. From the tests of various fault conditions including different fault types, fault resistance and fault locations, the proposed method successfully detected all fault cases at around 1 cycle from fault initiation and with correct faulted section identification. Besides that, the fault location algorithm also has very accurate results of fault estimation with average error less than 1 km and 1%.
  • Publication
    Lightning Strikes Mitigation Plan on Transmission Line Tower at Kedah Paddy Field
    ( 2021-06-11)
    Othman N.A.
    ;
    Halim H.A.
    ;
    ; ;
    This paper presents a mitigation plan for lightning strikes towards the transmission line tower at Kedah paddy field area. The ATP Draw software produces a schematic diagram of an incoming main intake sub-station and a transmission tower struck by lightning. Simulation on multiple soil resistance values and multiple soil conditions are then plot into graphs. A static eliminator reduces the electrostatic force between negatively charged thunder clouds with a positively charged steel transmission tower. It shows that a static eliminator makes the transmission line act invisibly in the lightning pathway. This protection level avoids surge current from transmitting in the transmission line reduces the possibility to damage surge arrestor.
  • Publication
    Wireless IoT based overcurrent relay for transmission line protection
    Typically, the relay must be wired from sensor terminals to relay terminals and from relay terminals to trip coils in the substation. This installation comes at a high cost to the utility since several relays are mounted in the substation to protect the transmission line, busbar, transformer, and other equipment. This article proposes a wireless Internet of Things (IoT) overcurrent relay that does not require the installation of wires to transmit measurements and signals from and to the relay. The relay scheme was developed using Matlab Simulink and the scheme model then was built and deployed into the Arduino Wi-Fi MKR 1010 which made the relay a standalone device. Simulink was also used to develop a transmission line system, and the simulation was performed in real-time. To exchange the data between transmission line and relay wirelessly, ThingSpeak platform was used as the cloud where the data are sent to and extracted from. From the real-time simulation, the relay successfully detected the set fault condition and sent the trip signal to open the circuit breaker. The result proves the feasibility of wireless relay to protect the power system. However, many other factors have to be considered and improved in the future to make wireless protection reliable and secure.
  • Publication
    Arcing fault diagnosis using enhanced cross-correlation technique
    This study explored the potential use of cross-correlation as a technique for detecting arcing faults in a power system distribution network. The cross-correlation technique was employed to investigate the effect of each antenna placement as a detection device, time difference of arrival (TDOA), time delay, and correlation magnitude of arcing signals detected during on-line arcing fault measurement. The arcing fault was detected using four antennas that had been set up around the arc source point in a high voltage (HV) laboratory. The measurements were taken using a digital oscilloscope. For precise results, the Discrete Wavelet Transform (DWT) denoising technique combined with cross-correlation (CC) technique were applied using MATLAB software to identify the arcing signals detected in order to diagnose the differentiation between noisy and real arcing fault signals. Further assessment was carried out by performing a cross-correlation technique on the real arcing signals obtained to find the similarities and arrival time's delay between single arcing signals' placement. The outcome shows that all measurements including the time difference of arrival (TDOA), correlation magnitude, time delay, and antennas' placement towards the arcing source point are valuable in determining the arcing signals detected precisely.
  • Publication
    Effect of distributed generation to the faults in medium voltage network using ATP-EMTP simulation
    ( 2021-01-01)
    Wan Syaza Ainaa Wan Salman
    ;
    ; ;
    Nur Syazlin Bakhtiar Jamili
    ;
    ;
    During past few years, distributed generation (DG) technology has been widely known in the industry as it can helps in providing backup power during high power demand. However, adding a new system may changes the traditional power system that are usually work in one direction which is from the generation to the consumer. When DG is added, the power flows from two direction. Therefore, a short circuit study was done to study the effects of DG to the local system during fault. An IEC Standard was also calculated as guidance to determine the thermally permissible of a cable.
      3  4
  • Publication
    Differential equation fault location algorithm with harmonic effects in power system
    About 80% of faults in the power system distribution are earth faults. Studies to find effective methods to identify and locate faults in distribution networks are still relevant, in addition to the presence of harmonic signals that distort waves and create deviations in the power system that can cause many problems to the protection relay. This study focuses on a single line-to-ground (SLG) fault location algorithm in a power system distribution network based on fundamental frequency measured using the differential equation method. The developed algorithm considers the presence of harmonics components in the simulation network. In this study, several filters were tested to obtain the lowest fault location error to reduce the effect of harmonic components on the developed fault location algorithm. The network model is simulated using the alternate transients program (ATP)Draw simulation program. Several fault scenarios have been implemented during the simulation, such as fault resistance, fault distance, and fault inception angle. The final results show that the proposed algorithm can estimate the fault distance successfully with an acceptable fault location error. Based on the simulation results, the differential equation continuous wavelet technique (CWT) filter-based algorithm produced an accurate fault location result with a mean average error (MAE) of less than 5%.
      4  9
  • Publication
    Arcing fault diagnosis using first peak arrival of EM radiation signal
    The objective of this study was to diagnose the arcing fault signals based on the first peak of arrival method using antenna to assess its use as potential arcing fault detection in power system network. Square patch antenna and circle patch antenna were employed for detection on artificial arcing in real environment. First peak of arcing signal arrival was measured through an analysis over a range of time and amplitude signals detected. For accurate results, Discrete Wavelet Transform (DWT) denoising technique was applied to the arcing signals detected as denoising tools. Analysis of first peak of signal arrival time and amplitude were carried out using MATLAB software to measure the changes in signals detected caused by di different placements of antenna. The results revealed that the first peak of signal arrival time, amplitude, type of antenna used and placement of the antenna around arcing source point all reflect the signals measurement.
      3  5