Indian Journal of Engineering
Volume 22, Issue 58, July - December, 2025
Optimizing Solar Power: Advanced Maximum Power Point Tracking Via Fuzzy Logic for Enhanced Performance and Efficiency
Mujammal Ahmed Hasan Mujammal1, Ali Nadhim Jbarah Almakki2, Giulio Lorenzini3♦, Mohammed Abdulelah Albasheri1, Abdelhafidh Moualdia1
1University of Dr Yahia Fares, Department of Electrical Engineering and
Automatic Research Laboratory (LREA), Medea, Algeria
2University of Diyala, College of Engineering, Iraq
3Università di Parma, Department of Industrial Systems and
Technologies Engineering, Parma, Italy
♦Corresponding author
Dr. Giulio Lorenzini,
Università di Parma, Department of Industrial Systems and Technologies
Engineering, Parma, Italy
ABSTRACT
This research presents an advanced Maximum Power Point Tracking (MPPT)
strategy that uses a Fuzzy Logic Controller (FLC) to improve the efficiency and
performance of solar power systems. Classic MPPT techniques, such as fractional
open-circuit voltage (FOCV), incremental conductance (INC), and perturbation
and observation (P&O), often encounter complex structures, slow responses to
sudden environmental variations, and inaccurate tracking, leading to significant
energy losses and decreased system efficiency. The system utilizes the error and
the difference in error (E & ΔE) between the predicted and actual inputs as inputs,
and generates the duty cycle (D) as the output. By the circumstances of broad
range of climatic conditions, the experiments and simulations involving
irradiance levels ranging from 750 W/m² to 1000 W/m² and temperatures varying
from 20°C to 45°C, prove the efficacy of the proposed FLC algorithm. These tests
demonstrate the system's adaptability to environmental changes. Quantitative
results demonstrate a substantial efficiency enhancement of 0.83% over
conventional perturbation and observation (P&O) methods, which achieve 0.65%.
The result demonstrates that not only is the FLC-based MPPT strategy effective
and robust, but it is also well-suited in practice, providing a scalable and effective
solution for maximizing solar energy exploitation.
Keywords: Fuzzy Logic, Solar Power, Computational Complexity, Renewable
Energy, Adaptive Control.
Indian Journal of Engineering, 2025, 22(58), e10ije1686
DOI: https://doi.org/10.54905/disssi.v22i58.e10ije1686
Published: 18 July 2025
© The Author(s) 2025. Open Access. This article is licensed under a Creative Commons Attribution License 4.0 (CC BY 4.0).