Ernie Che Mid
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Preferred name
Ernie Che Mid
Official Name
Ernie, Che Mid
Alternative Name
Che Mid, Ernie Binti
Che Mid, Ernie
Mid, E. C.
Scopus Author ID
25655179600
Researcher ID
V-7047-2019

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  • Publication
    Fault Detection Analysis for Three Phase Induction Motor Drive System using Neural Network
    ( 2021-06-11)
    Mohar N.A.
    ;
    Ernie Che Mid
    ;
    Surina Mat Suboh
    ;
    Nor Hanisah Baharudin
    ;
    Ahamad N.B.
    ;
    Rahman N.A.
    ;
    Ruslan E.
    ;
    Hadi D.A.
    One of the most important components of the industrial process is known to be the three-phase induction motor. This device, however, is prone to electrical and mechanical faults, which may cause a substantial component or financial losses. The fault analysis received growing attention due to a need to increase reliability and to decrease potential output loss due to machine breakdown. Thus, the purpose of this paper is to present a simple and reliable fault analysis based on the Neural Network (NN) is proposed. The NN method is a simpler approach without a diagnostic professional to review data and diagnose issues. Various fault disputes of induction motor are developed and analysed using the NN method. The main types of faults considered are over-voltage, under-voltage, and unbalanced voltage faults. The trained network is tested with simulated fault current and voltage data.
  • 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  35
  • Publication
    Design and Performance Analysis of Grid Connected Photovoltaic (GCPV) based DSTATCOM for Power Quality Improvements
    ( 2021-06-11)
    Nor Hanisah Baharudin
    ;
    Ridzwan M.A.H.
    ;
    Tunku Muhammad Nizar Tunku Mansur
    ;
    Rosnazri Ali
    ;
    Kumuthawathe Ananda-Rao
    ;
    Ernie Che Mid
    ;
    Surina Mat Suboh
    ;
    Abdullah A.M.
    Solar energy has become the most prominent renewable energy for electrical power generation of the sustainable development agenda. This project focuses on power quality improvement in the low voltage distribution network by using a three-phase three-wire Distributed Static compensator (DSTATCOM) supplied by a single-stage grid-connected solar photovoltaic (GCPV) system. The instantaneous reactive power theory (IRPT) or P-Q theory will be used as the control algorithm of the PV based DSTATCOM to eliminate the harmonic current caused by the non-linear loads in the distribution system. This control method has great impact on the accuracy of the harmonic current and reactive power compensation for harmonic current elimination according to the requirement of THD limit set by IEEE 519-2014. Sizing of the grid-connected solar PV system based DSTATCOM will be presented and capable to deliver the active power demand to the utility grid under variation of solar irradiances. This system is modelled and simulated in the MATLAB/Simulink environment.
      38  1
  • Publication
    Output Power Maximization of DFIG Wind Turbine using Linear MPC Technique
    ( 2021-06-11)
    Surina Mat Suboh
    ;
    Hassan M.S.
    ;
    Nor Hanisah Baharudin
    ;
    Kumuthawathe Ananda-Rao
    ;
    Ahamad N.B.
    ;
    Ernie Che Mid
    ;
    Othman M.
    ;
    Sardi J.
    Wind energy conversion systems have been attracting wide attention as a renewable energy source. To extract maximum energy from the wind turbine, an efficient controller plays an important role. The target of this paper is to develop a Linear Model Predictive Control (MPC) to maximize power production according to wind speed. Firstly, the DFIG wind turbine model was linearized at a specific operating point by using the Jacobian method. The MPC then was developed based on the linearized model where wind speed equal to 8 m/s is chosen as its operating area. The controller was tested to deal with different wind speed. A presence of a certain range of wind speed errors was included to evaluate the controller efficiency. Numerical simulation was done by using MATLAB software. The proposed controller has shown great performances when within its operating area but downgraded when moving away from its operating area. Imprecise wind speed measurement has shown a significant impact on the controller efficiency.
      31  11