Surina Mat Suboh
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Surina Mat Suboh
Official Name
Surina, Mat Suboh
Alternative Name
Suboh, S. M.
Mat Suboh, S.
Surina, M. S.
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Scopus Author ID
57189243590

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  • Publication
    Performance of a Single-phase Grid-integrated Photovoltaic based DSTATCOM using Modified p-q Theory Control Algorithm.
    ( 2022-01-01)
    Ridzwan M.A.H.
    ;
    Nor Hanisah Baharudin
    ;
    Tunku Muhammad Nizar Tunku Mansur
    ;
    Kumuthawathe Ananda-Rao
    ;
    Surina Mat Suboh
    This paper investigates the performance of a single-phase grid-integrated photovoltaic based DSTATCOM by using modified p-q theory control algorithm. Previously, p-q theory controller has been employed for a three-phase DSTATCOM system. Thus, this paper employs a modified p-q theory control algorithm for a single-phase grid-integrated solar PV (GCPV) based DSTATCOM. Thus, the GCPV system has improved with DSTATCOM capabilities such as harmonic reduction for a single-phase distribution system under varying solar irradiances. The simulation results have been obtained by using MATLAB/SIMULINK software in accordance with IEEE Standard 519:2014, which stated that the THD should be less than 8% for the line current at the Point of Common Coupling (PCC). The performance of the single-phase GCPV based DSTATCOM has been analysed for dynamic and steady-state conditions under varying solar irradiances.
  • Publication
    Comparative Study of Control Methods for a 2MW Doubly-Fed Induction Generator Wind Turbine
    ( 2023-11-01)
    Zainudin N.A.N.
    ;
    Surina Mat Suboh
    ;
    Mohd Zamri Hasan
    This paper presents a comparative study of two control methods for a 2MW DoublyFed Induction Generator Wind Turbine (DFIG-WT) using MATLAB Simulink. The Proportional-Integral-Derivative (PID) and Model Predictive Control (MPC) control methods were implemented and evaluated in terms of their ability to track reference signals, disturbances tolerance and stabilize the system under uncertain wind conditions. The performance of the control methods was assessed using a high-fidelity WT model that incorporates the dynamics of the wind turbine, the wind speed, and the control system. The results show that the MPC control method outperform the PID control method in terms of tracking accuracy and disturbance tolerance.
      2
  • Publication
    Investigation of MPC performance for wind turbine system during wind speed uncertainty
    ( 2022-01-01)
    Nurul Afiqah Nabilah Zainudin
    ;
    Surina Mat Suboh
    ;
    Mohd Zamri Hasan
    ;
    Ernie Che Mid
    ;
    Ahmad N.B.
    ;
    Nor Hanisah Baharudin
    ;
    Shamsul Bahar Yaakob
    Real-time implementation for wind turbines (WTs) needs a controller that could explicitly formulate the system constraints and uncertainty in the design process to avoid undesired behavior or breakdown. Model-Predictive-Control (MPC) approach will be used in this research due to its ability to cover actuator and state constraints as well as multivariable control in a more convenient way. To investigate the impact of ad-hoc constraints and wind speed uncertainties, the MPC controller will first be developed. This paper will observe the effect on wind turbines (WT) during uncertainty happen. Multiple uncertainties are simulated to investigate the behavior of the wind turbine system. The simulation results using MATLAB Simulink output are expected to indicate that the MPC controller can ensure the system stability to meet the desired output while satisfying all of the constraints. During the presence of uncertainty, it shows that the MPC controller takes time to stabilize the system.
      1  18