A Comparative Analysis of Recent MPPT Algorithms (P&O\INC\FLC) for PV Systems
DOI:
https://doi.org/10.18196/jrc.v6i4.25814Keywords:
Solar Energy, MPPT Methods, Fuzzy Control, Perturb-and-Observe Control, Incremental Conductance ControlAbstract
Although solar (PV) power generators have been widely deployed, one important barrier to their effective energy capture is weather variability. It is a very challenging effort for these systems to operate at MPPT. Conventional MPPT methods still had an excessively long convergence period to the MPP. Because of their superior data processing, intelligent approaches are nevertheless given a reasonable length of time to reach the maximum point, beginning with the objective of keeping the PV generator in the MPP with outstanding performance. To accomplish MPPT, a comparison between intelligent (fuzzy control (FLC)) and conventional algorithms (perturb-and-observe (P&O) and the incremental conductance (INC)) is investigated. To do this, a mathematical model of PV cells based on two diodes with shunt and series resistors is created with MATLAB/Simulink. The model characteristics curves with the parameters listed in the MSR SOLAR datasheet are compared. Finally, we compared the results of the FLC with those of the P&O and the INC. The results obtained demonstrated the superiority of the FLC-MPPT controller.
References
M. Awad et al., “A review of water electrolysis for green hydrogen generation considering PV/wind/hybrid/hydropower/geothermal/tidal and wave/biogas energy systems, economic analysis, and its application,” Alexandria Engineering Journal, vol. 87, pp. 213-239, 2024.
J. P. Chaves-Avila, F. Banez-Chicharro, and A. Ramos, “Impact of support schemes and market rules on renewable electricity generation and system operation: The Spanish case,” IET Renewable Power Generation, pp. 238-244, 2017.
A. Uzzaman, I. Adam, S. Alam, and P. Basak, “Review on the Safety and Sustainability of Autonomous Vehicles : Challenges and Future Directions,” Control Systems and Optimization Letters, vol. 3, no. 1, pp. 103-109, 2025.
I. E. Maysse et al., "Nonlinear Observer-Based Controller Design for VSC-Based HVDC Transmission Systems Under Uncertainties," IEEE Access, vol. 11, pp. 124014-124030, 2023.
N. F. Ibrahim et al., “Multiport Converter Utility Interface with a High-Frequency Link for Interfacing Clean Energy Sources (PVWindFuel Cell) and Battery to the Power System: Application of the HHA Algorithm,” Sustainability, vol. 15, no. 18, p. 13716, 2023.
S. C. Ariadita and A. Ma’arif, “Development of an IoT-Monitoring and Control System for Solar Panel Surface Temperature Regulation Utilizing Water-Cooling Techniques,” Control Systems and Optimization Letters, vol. 1, no. 3, pp. 174–180, 2023.
F. Menzri et al., “Applications of Novel Combined Controllers for Optimizing Grid-Connected Hybrid Renewable Energy Systems,” Sustainability, vol. 16, no. 16, p. 6825, 2024.
M. M. H. Swarup Kumar, M. M. R. Neidhe, and F. Ahmed, “Enhancing Solar Cell Performance: The Impact of Microstructure in Nanostructured Perovskites,” Control Systems and Optimization Letters, vol. 3, no. 1, pp. 8-13, 2025.
H. M. H. Farh, A. Fathy, A. A. Al-Shamma’a, S. Mekhilef, and A. M. Al-Shaalan, “Global research trends on photovoltaic maximum power extraction: Systematic and scientometric analysis,” Sustainable Energy Technologies and Assessments, vol. 61, p. 103585, 2024.
F. Ahmed, A. Uzzaman, I. Adam, M. Islam, M. Rahman, and A. M. Islam, “AI-Driven Microgrid Solutions for Enhancing Energy Access and Reliability in Rural and Remote Areas : A Comprehensive Review,” Control Systems and Optimization Letters, vol. 3, no. 1, pp. 110-116, 2025.
N. F. Ibrahim et al., "Operation of Grid-Connected PV System With ANN-Based MPPT and an Optimized LCL Filter Using GRG Algorithm for Enhanced Power Quality," IEEE Access, vol. 11, pp. 106859-106876, 2023.
N. Benalia et al., “Enhancing electric vehicle charging performance through series-series topology resonance-coupled wireless power transfer,” PLoS One, vol. 19, no. 8, p. e0309545, 2024.
H. Boudjemai et al., “Design, Simulation, and Experimental Validation of a New Fuzzy Logic-Based Maximal Power Point Tracking Strategy for Low Power Wind Turbines,” International Journal of Fuzzy Systems, vol. 5, no. 1, pp. 296-310, 2025.
C. Biswas, A. Sharma, and Y. M. Prianka, “Enhancing Energy Flexibility : A Case Study on Peer-to-Peer ( P2P ) Energy Trading Between Electric Vehicles and Microgrid,” Control Systems and Optimization Letters, vol. 3, no. 1, pp. 28-35, 2025.
IEA, “Global Energy Review 2021 Assessing the effects of economic recoveries on global energy demand and CO2 emissions in 2021,” International Energy Agency, 2021.
Y. M. Prianka, A. Sharma, and C. Biswas, “Integration of Renewable Energy , Microgrids , and EV Charging Infrastructure : Challenges and Solutions,” Control Systems and Optimization Letters, vol. 2, no. 3, pp. 317-326, 2024.
N. F. Ibrahim, A. Alkuhayli, A. Beroual, U. Khaled, and M. M. Mahmoud, “Enhancing the Functionality of a Grid-Connected Photovoltaic System in a Distant Egyptian Region Using an Optimized Dynamic Voltage Restorer: Application of Artificial Rabbits Optimization,” Sensors, vol. 23, no. 16, p. 7146, 2023.
A. F. A. Ahmed, I. M. Elzein, M. M. Mahmoud, S. A. E. M. Ardjoun, A. M. Ewias, and U. Khaled, “Optimal Controller Design of Crowbar System for DFIG-based WT: Applications of Gravitational Search Algorithm,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 7, no. 2, pp. 122-137, 2025.
O. M. Kamel, A. A. Z. Diab, M. M. Mahmoud, A. S. Al-Sumaiti, and H. M. Sultan, “Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems,” Energies, vol. 16, no. 4, p. 1577, 2023.
T. Aziz, Z. Al Dodaev, M. A. Halim, and M. Y. A. Khan, “A Review on Integration Challenges for Hybrid Energy Generation Using Algorithms,” Control Systems and Optimization Letters, vol. 2, no. 2, pp. 162-171, 2024.
N. F. Ibrahim et al., “A new adaptive MPPT technique using an improved INC algorithm supported by fuzzy self-tuning controller for a grid-linked photovoltaic system,” PLoS One, vol. 18, no. 11, p. e0293613, 2023.
A. H. Elmetwaly et al., “Modeling, Simulation, and Experimental Validation of a Novel MPPT for Hybrid Renewable Sources Integrated with UPQC: An Application of Jellyfish Search Optimizer,” Sustainability, vol. 15, no. 6, p. 5209, 2023.
N. Hussain, K. A. Kader, S. Ali, A. Ullah, and Z. Al Dodaev, “An Extensive Analysis of the Significance and Difficulties of Microgrids Based on Renewable Energy in Wireless Sensor Networks,” Control Systems and Optimization Letters, vol. 2, no. 2, pp. 178-183, 2024.
M. Awad, M. M. Mahmoud, Z. M. S. Elbarbary, L. Mohamed Ali, S. N. Fahmy, and A. I. Omar, “Design and analysis of photovoltaic/wind operations at MPPT for hydrogen production using a PEM electrolyzer: Towards innovations in green technology,” PLoS One, vol. 18, no. 7, p. e0287772, 2023.
R. Zaman, S. Sarker, A. Halim, S. Ibrahim, and A. Haque, “A Comprehensive Review of Techno-Economic Perspective of AC / DC Hybrid Microgrid,” Control Systems and Optimization Letters, vol. 2, no. 1, pp. 36-42, 2024.
R. Kassem et al., “A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic / Biomass Power Generation for Rural Electrification : A Real Case Study,” Sustainability, vol. 16, no. 5, p. 2036, 2024.
M. M. Islam, M. T. Akter, H. M. Tahrim, N. S. Elme, and M. Y. A. Khan, “A Review on Employing Weather Forecasts for Microgrids to Predict Solar Energy Generation with IoT and Artificial Neural Networks,” Control Systems and Optimization Letters, vol. 2, no. 2, pp. 184-190, 2024.
S. Ashfaq et al., "Comparing the Role of Long Duration Energy Storage Technologies for Zero-Carbon Electricity Systems," IEEE Access, vol. 12, pp. 73169-73186, 2024.
Y. Maamar et al., “Design, Modeling, and Simulation of A New Adaptive Backstepping Controller for Permanent Magnet Linear Synchronous Motor: A Comparative Analysis,” International Journal of Robotics and Control Systems, vol. 5, no. 1, pp. 296-310, 2025.
F. Menzri, T. Boutabba, I. Benlaloui, H. Bawayan, M. I. Mosaad, and M. M. Mahmoud, “Applications of hybrid SMC and FLC for augmentation of MPPT method in a wind-PV-battery configuration,” Wind Engineering, vol. 48, no. 6, pp. 1186-1202, 2024.
M. N. Hussain, M. R. Zaman, M. A. Halim, M. S. Ali, and M. Y. A. Khan, “A Comprehensive Review of Renewable and Sustainable Energy Sources with Solar Photovoltaic Electricity Advancement in Bangladesh,” Control Systems and Optimization Letters, vol. 2, no. 1, pp. 1-7, 2024.
A. T. Hassan et al., “Adaptive Load Frequency Control in Microgrids Considering PV Sources and EVs Impacts: Applications of Hybrid Sine Cosine Optimizer and Balloon Effect Identifier Algorithms,” International Journal of Robotics and Control Systems, vol. 4, no. 2, pp. 941-957, 2024.
M. M. Mahmoud et al., “Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers : Application of the Harris Hawks Algorithm,” International Transactions on Electrical Energy Systems, vol. 2022, no. 1, pp. 1-18, 2022.
O. M. Lamine et al., “A Combination of INC and Fuzzy Logic-Based Variable Step Size for Enhancing MPPT of PV Systems,” International Journal of Robotics and Control Systems, vol. 4, no. 2, pp. 877-892, 2024.
M. N. A. Hamid et al., “Adaptive Frequency Control of an Isolated Microgrids Implementing Different Recent Optimization Techniques,” International Journal of Robotics and Control Systems, vol. 4, no. 3, pp. 1000-1012, 2024.
K. Karthick, “Comprehensive Overview of Optimization Techniques in Machine Learning Training,” Control Systems and Optimization Letters, vol. 2, no. 1, pp. 23-27, 2024.
S. P. Ye, Y. H. Liu, C. Y. Liu, K. C. Ho, and Y. F. Luo, “Artificial neural network assisted variable step size incremental conductance MPPT method with adaptive scaling factor,” Electronics, vol. 11, no. 1, p. 43, 2022.
L. Farah, A. Haddouche, and A. Haddouche, “Comparison between proposed fuzzy logic and anfis for MPPT control for photovoltaic system,” International Journal of Power Electronics and Drive System, vol. 11, no. 2, pp. 1065-1073, 2020.
A. Raj et al., “Wavelet Analysis- Singular Value Decomposition Based Method for Precise Fault Localization in Power Distribution Networks Using k-NN Classifier,” International Journal of Robotics and Control Systems, vol. 5, no. 1, pp. 530-554, 2025.
B. A. Numan, A. M. Shakir, and A. L. Mahmood, “Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm,” International Journal of Power Electronics and Drive System, vol. 11, no. 4, pp. 2007-2018, 2020.
P. Singh, B. Mangu, and S. Saho, “A New Dragonfly Optimized Fuzzy Logic-based MPPT Technique for Photovoltaic Systems,” International Journal of Electrical and Electronics Research (IJEER), vol. 11, no. 4, pp. 1097-1102, 2023.
T. Hai, A. Rezvani, and B. N. Le, “Improved design and analysis of MPPT technique for photovoltaic power systems to increase accuracy and speed under different conditions,” Environment, Development and Sustainability, vol. 26, no. 4, pp. 9759-9781, 2024.
D. Naamane, H. Benbouhenni, A. Chebabhi, Z. Laid, D. Zellouma, and I. Colak, “A new nonlinear control to improve the efficiency of the PV-SAPF system,” Energy Reports, vol. 11, pp. 3096-3116, 2024.
M. Hanhart et al., "An Integrated 50 V Boost Controller With Digitally-Assisted MPPT for Submodule PV Applications," IEEE Open Journal of Power Electronics, vol. 4, pp. 221-236, 2023.
E. Heydari and A. Y. Varjani, "Combined modified P&O algorithm with improved direct power control method applied to single-stage three-phase grid-connected PV system," 2018 9th Annual Power Electronics, Drives Systems and Technologies Conference (PEDSTC), pp. 347-351, 2018.
M. H. Ibrahim, S. P. Ang, M. N. Dani, M. I. Rahman, R. Petra and S. M. Sulthan, "Optimizing Step-Size of Perturb & Observe and Incremental Conductance MPPT Techniques Using PSO for Grid-Tied PV System," IEEE Access, vol. 11, pp. 13079-13090, 2023.
A. Bouchakour, A. Borni, and M. Brahami, “Comparative study of P&O-PI and fuzzy-PI MPPT controllers and their optimisation using GA and PSO for photovoltaic water pumping systems,” International Journal of Ambient Energy, vol. 42, no. 15, pp. 1746-1757, 2021.
H. Rezk, M. Aly, M. Al-Dhaifallah and M. Shoyama, "Design and Hardware Implementation of New Adaptive Fuzzy Logic-Based MPPT Control Method for Photovoltaic Applications," IEEE Access, vol. 7, pp. 106427-106438, 2019.
J. M. Riquelme-Dominguez and S. Martinez, "Comparison of Different Photovoltaic Perturb and Observe Algorithms for Drift Avoidance in Fluctuating Irradiance Conditions," 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), pp. 1-5, 2020.
A. Gupta and S. K. Jain, “An Improved Time-Sharing Control of Multiport Converter for Solar-Powered EVs Application,” IETE Journal of Research, vol. 70, no. 1, pp. 531-541, 2024.
J. C. Kim, J. H. Huh, and J. S. Ko, “Improvement of MPPT control performance using fuzzy control and VGPI in the PV system for micro grid,” Sustainability, vol. 11, no. 21, p. 5891, 2019.
A. Nouri, A. Lachheb, and L. El Amraoui, “Optimizing efficiency of Vehicle-to-Grid system with intelligent management and ANN-PSO algorithm for battery electric vehicles,” Electric Power Systems Research, vol. 226, p. 109936, 2024.
N. Priyadarshi, S. Padmanaban, J. B. Holm-Nielsen, F. Blaabjerg and M. S. Bhaskar, "An Experimental Estimation of Hybrid ANFIS–PSO-Based MPPT for PV Grid Integration Under Fluctuating Sun Irradiance," IEEE Systems Journal, vol. 14, no. 1, pp. 1218-1229, 2020.
A. S. Mohammed and A. Dodo, “Load Frequency Control of One and Two Areas Power System Using Grasshopper Optimization Based Fractional Order PID Controller,” Control Systems and Optimization Letters, vol. 1, no. 1, pp. 32-40, 2023.
A. Loukriz, M. Haddadi, and S. Messalti, “Simulation and experimental design of a new advanced variable step size Incremental Conductance MPPT algorithm for PV systems,” ISA Transactions, vol. 62, pp. 30-38, 2016.
V. V. Martynyuk, M. P. Voynarenko, J. M. Boiko, and O. Svistunov, “Simulation of photovoltaic system as a tool of a state’s energy security,” International Journal of Engineering: Basics, Applications and Aspects, vol. 34, no. 2, pp. 487-492, 2021.
A. Juaidi et al., “A comparative simulation between monofacial and bifacial PV modules under palestine conditions,” Solar Compass, vol. 8, p. 100059, 2023.
F. Listyantoro, A. Ma’arif, A.-N. Sharkawy, and H. M. Marhoon, “DC to AC Inverter Prototype for Small Scale Power Supply with SPWM Method,” Control Systems and Optimization Letters, vol. 1, no. 2, pp. 87-92, 2023.
A. Loukriz, D. Saigaa, A. Kherbachi, M. Koriker, A. Bendib, and M. Drif, “Prediction of Photovoltaic Panels Output Performance Using Artificial Neural Network,” International Journal of Energy Optimization and Engineering, vol. 11, no. 2, pp. 1-19, 2022.
A. Fatah et al., “Design, and dynamic evaluation of a novel photovoltaic pumping system emulation with DS1104 hardware setup: Towards innovative in green energy systems,” PLoS One, vol. 19, no. 10, p. e0308212, 2024.
M. Premkumar, C. Kumar, and R. Sowmya, “Mathematical modelling of solar photovoltaic cell/panel/array based on the physical parameters from the manufacturer’s datasheet,” International Journal of Renewable Energy Development, vol. 9, no. 1, pp. 7-22, 2020.
H. N. Kadeval and V. K. Patel, “Mathematical modelling for solar cell, panel and array for photovoltaic system,” Journal of Applied and Natural Science, vol. 13, no. 3, pp. 937-943, 2021.
A. Hysa, M. M. Mahmoud, and A. Ewais, “An Investigation of the Output Characteristics of Photovoltaic Cells Using Iterative Techniques and MATLAB ® 2024a Software,” Control Systems and Optimization Letters, vol. 3, no. 1, pp. 46-52, 2025.
S. Heroual et al., “Enhancement of Transient Stability and Power Quality in Grid- Connected PV Systems Using SMES,” International Journal of Robotics and Control Systems, vol. 5, no. 2, pp. 990-1005, 2025.
H. Zhang, Y. Li, R. Xie, J. Song, B. Liang, and Y. Huangfu, "Adaptive Model Predictive Control of an Interleaved Boost Converter Using Real-Time Updated Model," IEEE Transactions on Power Electronics, vol. 38, no. 2, pp. 1720-1731, 2023.
Y. Li, S. Sahoo, T. Dragičević, Y. Zhang, and F. Blaabjerg, "Stability-Oriented Design of Model Predictive Control for DC/DC Boost Converter," IEEE Transactions on Industrial Electronics, vol. 71, no. 1, pp. 922-932, 2024.
T. Boutabba, I. Benlaloui, F. Mechnane, I. M. Elzein, M. Ammar, and M. M. Mahmoud, “Design of a Small Wind Turbine Emulator for Testing Power Converters Using dSPACE 1104,” International Journal of Robotics and Control Systems, vol. 5, no. 2, pp. 698-712, 2025.
H. Alnami, S. A. E. M. Ardjoun, and M. M. Mahmoud, “Design, implementation, and experimental validation of a new low-cost sensorless wind turbine emulator: Applications for small-scale turbines,” Wind Engineering, vol. 48, no. 4, pp. 565-579, 2024.
M. A. Elgendy, B. Zahawi, and D. J. Atkinson, "Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications," IEEE Transactions on Sustainable Energy, vol. 3, no. 1, pp. 21-33, 2012.
L. Piegari, R. Rizzo, I. Spina, and P. Tricoli, “Optimized adaptive perturb and observe maximum power point tracking control for photovoltaic generation,” Energies, vol. 8, no. 5, pp. 3418-3436, 2015.
D. Remoaldo and I. S. Jesus, “Analysis of a traditional and a fuzzy logic enhanced perturb and observe algorithm for the mppt of a photovoltaic system,” Algorithms, vol. 14, no. 1, p. 24, 2021.
I. Al-Wesabi, Z. Fang, H. M. Hussein Farh, A. A. Al-Shamma’a, and A. M. Al-Shaalan, “Comprehensive comparisons of improved incremental conductance with the state-of-the-art MPPT Techniques for extracting global peak and regulating dc-link voltage,” Energy Reports, vol. 11, pp. 1590-1610, 2024.
M. V. da Rocha, L. P. Sampaio, and S. A. O. da Silva, “Comparative analysis of MPPT algorithms based on Bat algorithm for PV systems under partial shading condition,” Sustainable Energy Technologies and Assessments, vol. 40, p. 100761, 2020.
G. D. Eddine, N. Abdellatif, and S. Abdelkader, “Power System Stabilizer Design using Genetic Algorithms and Particle Swarm Optimization,” Control Systems and Optimization Letters, vol. 1, no. 1, pp. 52-57, 2023.
A. Safari and S. Mekhilef, "Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter," IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1154-1161, 2011.
N. Bouarroudj et al., “Fuzzy Logic Controller Based Maximum Power Point Tracking and its Optimal Tuning in Photovoltaic Systems,” Serbian Journal of Electrical Engineering, vol. 18, no. 3, pp. 351-384, 2021.
M. Aly, E. A. Mohamed, H. Rezk, A. M. Nassef, M. A. Elhosseini, and A. Shawky, “An Improved Optimally Designed Fuzzy Logic-Based MPPT Method for Maximizing Energy Extraction of PEMFC in Green Buildings,” Energies, vol. 16, no. 3, p. 1197, 2023.
R. Ghasemi and N. A. Hazaveh, “Ultimately Bounded TSK Fuzzy Management in Urban Traffic Stream Mechanism: Multi-Agent Modeling Approach,” Control Systems and Optimization Letters, vol. 1, no. 1, pp. 58-63, 2023.
H. Abidi, L. Sidhom, and I. Chihi, “Systematic Literature Review and Benchmarking for Photovoltaic MPPT Techniques,” Energies, vol. 16, no. 8, p. 3509, 2023.
S. Jalali Zand, S. Mobayen, H. Z. Gul, H. Molashahi, M. Nasiri, and A. Fekih, "Optimized Fuzzy Controller Based on Cuckoo Optimization Algorithm for Maximum Power-Point Tracking of Photovoltaic Systems," IEEE Access, vol. 10, pp. 71699-71716, 2022.
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