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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics International Journal of Robotics and Control Systems
Muhammad Nizam Kamarudin
Universiti Teknikal Malaysia Melaka - UTeM Hang Tuah Jaya, 76100 Durian Tunggal, Melaka
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

 1 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method Aziz Jafar, Muhammad Ihsan; Zakaria, Muhammad Iqbal; Dahlan, Nofri Yenita; Kamarudin, Muhammad Nizam; El Fezazi, Nabil
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp2386-2399

Abstract

Photovoltaic systems have emerged as a promising energy resource that caters to the future needs of society, owing to their renewable, inexhaustible, and cost-free nature. The power output of these systems relies on solar cell radiation and temperature. In order to mitigate the dependence on atmospheric conditions and enhance power tracking, a conventional approach has been improved by integrating various methods. To optimize the generation of electricity from solar systems, the maximum power point tracking (MPPT) technique is employed. To overcome limitations such as steady-state voltage oscillations and improve transient response, two traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb and observe (P&O), have been modified. This research paper aims to simulate and validate the step size of the proposed modified P&O and FLC techniques within the MPPT algorithm using MATLAB/Simulink for efficient power tracking in photovoltaic systems.
Rotor angle deviation regulator to enhance the rotor angle stability of synchronous generators Murad, Nor Syaza Farhana Mohamad; Kamarudin, Muhammad Nizam; Zakaria, Muhammad Iqbal
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp4879-4887

Abstract

Occurrences of disturbance affect the rotor angle operation of a synchronous generator in the generation system of a power system. The disturbance will disrupt the synchronous generator's rotor oscillation and result in rotor angle instability, which will degrade the power system's performance. This paper aims to develop a Lyapunov-based rotor angle deviation regulator for the nonlinear swing equation of a synchronous generator. The proposed regulator is expected to assure asymptotic stability of the rotor angle and robustness to uncertainty. Backstepping and Lyapunov redesign techniques are employed in developing the regulator. To validate the effectiveness and robustness of the regulator, a simulation in MATLAB/Simulink is carried out. The simulation result shows that the asymptotic stability and robustness of the regulator are guaranteed regardless of the disturbance.
Comparative assessment of an improved asymmetrical fuzzy logic control-based maximum power point tracking for photovoltaic systems under partially shaded conditions Ariffin, Athirah Batrisyia Kamal; Zakaria, Muhammad Iqbal; Munim, Wan Noraishah Wan Abdul; Kamarudin, Muhammad Nizam; El Fezazi, Nabil
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i3.pp2642-2654

Abstract

This paper presents an enhanced asymmetrical fuzzy logic control (AFLC) based maximum power point tracking (MPPT) algorithm designed for photovoltaic (PV) systems under partial shading conditions (PSCs). With the increasing global energy demand and growing environmental concerns, maximizing solar energy efficiency has become more essential than ever. The proposed AFLC-MPPT algorithm tackles the challenges of accurately tracking the global maximum power point (GMPP) in PSCs, where conventional methods frequently underperform. By utilizing asymmetrical membership functions and optimized rule sets, the algorithm significantly improves sensitivity and precision in detecting and responding to variations in shading. Simulations conducted in MATLAB/Simulink compare the performance of the proposed AFLC-based MPPT with the conventional perturb and observe (P&O) method across multiple shading scenarios. The results demonstrate that the AFLC approach outperforms the conventional method in terms of tracking speed, stability, and overall efficiency, particularly in dynamically changing environmental conditions. Furthermore, the AFLC algorithm provides substantial improvements in voltage regulation, reduces settling time, and minimizes steady-state oscillations, contributing to the more efficient and reliable operation of PV systems under partial shading conditions.
Co-Authors Ariffin, Athirah Batrisyia Kamal Azam, Sazuan Nazrah Mohd Aziz Jafar, Muhammad Ihsan Dahlan, Nofri Yenita El Fezazi, Nabil Hairi, Mohd Hendra Md Rozali, Sahazati Mohamad Murad, Nor Syaza Farhana Munim, Wan Noraishah Wan Abdul Murad, Nor Syaza Farhana Mohamad Zakaria, Muhammad Iqbal