Mohammad Faridun Naim Tajuddin
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Preferred name
Mohammad Faridun Naim Tajuddin
Official Name
Mohammad Faridun Naim , Tajuddin
Alternative Name
Tajuddin, Mohd Faridun Naim
Tajuddin, Mohd
Tajuddin, Mohammad Faridun Naim
Tajuddin, M. F.N.
Main Affiliation
Scopus Author ID
35590716200
Researcher ID
GSD-2139-2022

Research Output
Now showing 1 - 2 of 2
  • Publication
    Hybrid salp swarm maximum power point tracking algorithm for photovoltaic systems in highly fluctuating environmental conditions
    (Nature Research, 2025-03)
    Mohd Nasrul Izzani Jamaludin
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Tarek Younis
    ;
    Sudhakar Babu Thanikanti
    ;
    Mohammad Khishe
    The maximum power delivered by a photovoltaic system is greatly influenced by atmospheric conditions such as irradiation and temperature and by surrounding objects like trees, raindrops, tall buildings, animal droppings, and clouds. The partial shading caused by these surrounding objects and the rapidly changing atmospheric parameters make maximum power point tracking (MPPT) challenging. This paper proposes a hybrid MPPT algorithm that combines the benefits of the salp swarm algorithm (SSA) and hill climbing (HC) techniques. As long as the rate of change of irradiance does not exceed a specific limit, the HC mode is applied to track the global maximum power point (GMPP). Once a high rate of change in irradiation is detected, the SSA mode is activated. Moreover, the proposed algorithm employs the concept of boundary conditions to handle fast and slow fluctuating irradiance patterns. A comprehensive comparative evaluation of the proposed hybrid SSA-HC with state-of-the-art MPPT algorithms has been undertaken. Four distinct cases have been examined, including irradiance conditions with varying rates of change and partial shading conditions. The proposed hybrid SSA-HC algorithm has been validated and tested using a developed hardware setup, simulated in MATLAB for solar photovoltaic (PV) systems, and compared with standard SSA and HC. The performance of the tracking capability of this proposed hybrid technique at both steady-state and dynamic conditions under rapid and gradual irradiance changes demonstrates its superiority over recent state-of-the-art algorithms.
  • Publication
    Experimental study on modified GOA-MPPT for PV system under mismatch conditions
    ( 2024)
    Nur Afida Muhammad
    ;
    Mohammad Faridun Naim Tajuddin
    ;
    Azralmukmin Azmi
    ;
    Mohd Nasrul Izzani Jamaludin
    ;
    Shahrin Md Ayob
    ;
    Tole Sutikno
    This paper presents a modified grasshopper optimization algorithm (GOA) tailored for optimizing the power extraction capability of a solar photovoltaic (PV) system. The algorithm`s focus is on addressing one of the issues associated with mismatch loss (MML), particularly the mismatch (MM) in solar irradiance conditions, to attain maximum output power. The core strategy of the GOA involves optimizing the duty cycles of the converter to achieve the maximum power point (MPP) for the PV system. The PV system configuration comprises three PV modules connected in series and a SEPIC converter. To facilitate efficient maximum power point tracking (MPPT), the paper proposes using the GOA as a controlling mechanism. The study employs a comparative approach, contrasting the performance of the proposed system against established algorithms, such as PSO and GWO. The results of these evaluations exhibit the superior performance of the proposed GOA when compared to other optimization techniques. The GOA exhibits exceptional MPPT tracking characteristics, characterized by rapid tracking speed, heightened efficiency, and minimal oscillations within the PV system. Consequently, the GOA effectively addresses one of the MML issues.
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