Now showing 1 - 10 of 16
  • 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
    Analysis of AC voltage and current waveform distortion on SPWM transformerless photovoltaic inverter
    ( 2017-10-01) ;
    Hermansyah Alam
    ;
    Mohd Yusoff Mashor
    ;
    Mahrizal Masri
    ;
    ; ;
    Butar-Butar A.H.
    Normally, the low frequency (50Hz) inverter uses a transformer that is bigger in size, heavy and expensive. For reducing the size, weight and manufacturing cost, the SPWM TPVI is suitable, it can generate a sinusoidal AC waveform which is suitable for the long life of AC loads. This paper presents an analysis of AC voltage and current waveform distortion on sinusoidal pulse width modulation (SPWM) transformerless photovoltaic inverter (TPVI). The sinusoidal waveform is developed based on the SPWM technique by installing an LC filter at the end terminal of full bridge inverter. It is due to no optimum value of LC components and AC load, whereas the AC voltage and current waveform will be distorted. Thus, it is very important to analyze the distortion of AC voltage and current waveform.
  • 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
    Finite Element Analysis of Electric Field Distribution in C4F7N as an Alternative to SF6 for Electrical Insulation
    ( 2021-01-01)
    Ahmad R.
    ;
    Rahman R.A.
    ;
    Salem A.A.
    ;
    Jamail N.A.M.
    ;
    Rahman A.A.
    ;
    This research work examines the effect of the electric field in C4F7N for different configurations of electrodes and applied voltages. The behavior of the insulation medium is better understood by its electric field analysis. Sphere-sphere and plate-plate electrode configurations are analyzed with varying gap distances. A thorough electric field strength distribution analysis was carried out in a simulation tool based on the finite element method. The electric field strength is firmly dependent on the air gap between the electrodes and applied voltages. The electrodes configuration also affects the electric field and hence the breakdown strength of insulation gas.
  • Publication
    The magnetic flux density of various geometries of Rogowski Coil for overvoltage measurements
    Overvoltage phenomenon is the common problem that always occurs in the power system and can cause the electrical system network breakdown, and in some cases, it may explode. The frequent overvoltage also can affect and degrade the lifespan of the electrical power system components and network. Thus, the overvoltage sensor is needed to overcome this problem matter. The Rogowski coil (RC) is one of an inductive coil group, and it is suitable for measuring the alternating current (AC) and transient currents or overvoltage. This paper demonstrated the effect of RC magnetic flux density, B with difference cross-section, geometries sizing and the number of turns by using Finite Element Method (FEM). Commonly, there are three types of RC widely used; rectangular, circular and oval. Each of these cross-sections has different characteristics in term of performance. The results have shown that the rectangular cross-section is better than oval and circular cross-section based on the number of magnetic flux density.
  • Publication
    Simulation of magnetic field density in solenoid generated by current of photovoltaic module based on solar irradiance and temperature
    ( 2017-10-01)
    Butar-Butar A.H.
    ;
    Leong J.H.
    ;
    ; ;
    Mahrizal Masri
    ;
    Hermansyah Alam
    Normally, the magnetic field density in a solenoid is generated by a constant DC current source. A photovoltaic (PV) module is also a DC current source. The output current of PV module depends on the solar irradiance and temperature. The PV module generates a higher current on the constant temperature and higher solar irradiance. Inversely, it generates a lower current on the constant temperature and lower solar irradiance. Thus, it is important to study the output current of PV module related to the magnetic field in a solenoid. The daily data of solar irradiance and temperature are recorded by Vantage Weather Station Pro2 in Universiti Malaysia Perlis (UniMAP) throughout the year 2015. The performance of PV module (maximum peak point current) is simulated using PSpice software. The daily maximum peak point current of PV module is applied into a formulation of magnetic field density to obtain the daily maximum magnetic field density generated in a solenoid. The result shows that the higher maximum peak point current generated by PV module will produce the higher magnetic field density in a solenoid.
  • Publication
    Flashover voltage prediction on polluted cup-pin the insulators under polluted conditions
    ( 2021-01-01)
    Salem A.A.
    ;
    Abd-Rahman R.
    ;
    Kamarudin M.S.
    ;
    Othman N.A.
    ;
    Jamail N.A.M.
    ;
    ; ;
    Rawi I.M.
    The natural pollution which is mainly affected by the weather conditions are the main cause of flashovers on high voltage insulators leading to outages in power systems. In this work, characteristics of flashover for contaminated cup-pin insulators have been studied based on experiential test and a mathematical model. Information from laboratory test combined with new mathematical model results are used to define Artificial Neural Network (ANN) algorithm and Adaptive Neuro-fuzzy Inference System (ANFIS) for calculated the flashover characteristics (current IF and voltage UF). several of experiments and measurement are carried out for 1:1, 5:1, 10:1 and 15:1 ratios of bottom to top surface salt deposit density on contaminated samples (z). Dimensional Analysis Method (DAM) was used to derive new model for the variables which often effective in the flashover phenomenon of polluted insulators. The model was derived by establishment the relationship between flashover voltage UF and current IF, length of pollution layer LP, exposure time t, arc constant A and layer pollution conductivity of insulator σ. The both arc constants A and n is computed using genetic algorithm. Comparative investigates have clearly shown that the approach AI-based method gives the agreeable results compared to the mathematical model.
  • Publication
    Analysis of an AC voltage waveform on changeover of transfer switch on photovoltaic powered uninterruptible power supply system
    ( 2017-10-01)
    Hermansyah Alam
    ;
    ;
    Mahrizal Masri
    ;
    ;
    Butar-Butar A.H.
    Normally, an uninterruptible power supply (UPS) system supplies to AC lands if the national utility grid fails to supply AC source to the AC loads. The UPS system stands on the national utility grid. It means that it can be operated only in the area or near the national utility grid.
  • Publication
    An alternative approaches to predict flashover voltage on polluted outdoor insulators using artificial intelligence techniques
    ( 2020-04-01)
    Salem, Ali. Ahmed. Ali
    ;
    Rahman, Rahisman Abd
    ;
    Kamarudin M.S.
    ;
    Othman, Nordiana Azlin
    ;
    Jamail, Nor. Akmal. Mohd.
    ;
    ;
    Ishak, Mohd. Taufiq
    This paper presents an alternative approach for predicting critical voltage of pollution flashover by using Artificial Intelligence (AI) technique. Data from experimental works combined with the theoretical results from well-known theoretical modelling are used to derive algorithm for Artificial Neural Network (ANN) and Adaptive Neuro-fuzzy Inference System (ANFIS) for determining critical voltage of flashover. Series of laboratory testing and measurement are carried for 1:1, 1:5 and 1:10 ratios of top to bottom surface salt deposit density on cup and pin insulators. Insulators variables such as height H, diameter D, form factor F, creepage distance L, equivalent salt deposit density (ESDD) and flashover voltage correction are identified and used to train the AI network. Comparative studies have evidently shown that the proposed (AI) technique gives the satisfactory results compared to the analytical model and test data with the Coefficient of determination R-Square value of more than 97%.
      4  3
  • Publication
    Series Arc Fault Detection Sensor Based on an ABS Rogowski Coil in Medium Voltage
    Three types of Rogowski coils were designed and constructed by utilising 3D printing technology: RC1, RC2, and RC3, with the sensors having the same geometrical dimensions but varying number of turns: 20, 50, and 100 respectively. To verify the feasibility and effectiveness of the proposed sensors, a series arc fault generator was set up and high voltage of up to 3-kV was injected. The analysis of the Fast Fourier Transform (FFT) was done by using MATLAB to determine frequency and voltage amplitude. From the analysis, it was determined that the higher the number of turns, the greater the sensitivity. The resonance frequency (MHz) dropped significantly as the number of turns increased. Furthermore, sensor features such as frequency bandwidth and sensitivity are affected by the number of turns, which was thoroughly investigated in this study. The Rogowski coil was created to detect the high frequency component of the series arc fault signal. All the designed sensors reliably detect the series arc fault signal, according to the experimental results.