Now showing 1 - 3 of 3
  • Publication
    Stator winding fault detection of induction generator based wind turbine using ANN
    (Institute of Advanced Engineering and Science (IAES), 2020-07) ; ;
    M. A. Khairudin
    ;
    This paper presents a stator winding faults detection in induction generator based wind turbines by using artificial neural network (ANN). Stator winding faults of induction generators are the most common fault found in wind turbines. This fault may lead to wind turbine failure. Therefore, fault detection in induction generator based wind turbines is vital to increase the reliability of wind turbines. In this project, the mathematical model of induction generator based wind turbine was developed in MATLAB Simulink. The value of impedance in the induction generators was changed to simulate the inter-turn short circuit and open circuit faults. The simulated responses of the induction generators were used as inputs in the ANN model for fault detection procedures. A set of data was taken under different conditions, i.e. normal condition, inter-turn short circuit and open circuit faults as inputs for the ANN model. The target outputs of the ANN model were set as ‘0’ or ‘1’, based on the fault conditions. Results obtained showed that the ANN model can detect different types of faults based on the output values of the ANN model. In conclusion, the stator winding faults detection procedure for induction generator based wind turbines by using ANN was successfully developed.
  • Publication
    The study of photovoltaic systems performance using various azimuth angles and solar array tilt positions
    The study of photovoltaic energy and load predictions have become essential with the increase of energy demand. The objective of this paper is to present an analytical study on the performance of photovoltaic system with various azimuth angles and solar array tilt positions. The output power of a solar module is mainly dependent on its tilt position, solar irradiation, type of solar cell, and the technical properties of the module. The data used in this work consist of two different locations. The outcome of this work shows that the energy production influenced heavily on the weather conditions, location, azimuth angles and tilt positions. Within this work, parameters such as planes-of-array irradiance, net to inverter output power, net to grid output power and performance ratio have been studied. The developed analytical study is anticipated to provide a better understanding on the energy production and load usage in accordance with suitable tilt angle of solar array in a specific location.
      3  31
  • Publication
    Investigation of Spherical Electrode Grounding System under High Impulse Conditions with Different Polarities
    ( 2021-06-11) ; ; ;
    Nor N.M.
    ;
    Abdullah S.
    ;
    Reffin M.S.
    ;
    Etobi N.A.
    ;
    Abd-Rahman R.
    There have been many studies in the pasts, which showed that under high impulse conditions, soil ionization process around the electrode would occur, which results in lower resistance and lower transient voltage on the electrode. Several factors have also been found to affect the ionization process in soil such as; soil types and its grain sizes, moisture contents in the soil, earth electrode configurations, impulse polarity, the location of the injection point, the shape of response time, etc. In this paper, spherical electrodes grounding is used to study the ionization process in the grounding system under different impulse polarity of the current. The experiment was done by field measurement using a commercially available impulse current generator. It was found that lower earth resistance was seen to decrease with increasing current magnitudes for both impulse polarities. In addition, it was found that at low impulse current with negative polarity has a higher resistance than that of positive polarity. This paper is, therefore, to investigate towards improvement on grounding electrode's design, which would consider soil ionization process
      3  3