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Comparison of MPP methods for photovoltaic system

Profile image of International Journal of Applied Power Engineering (IJAPE)International Journal of Applied Power Engineering (IJAPE)

2025, International Journal of Applied Power Engineering (IJAPE)

https://doi.org/10.11591/IJAPE.V14.I2.PP338-346
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Abstract

Solar electricity is usually a ubiquitous photovoltaic (PV) power source that converts sunlight into electricity. This makes solar energy a key factor in meeting the growing global demand. However, solar energy production from photovoltaic cells can be limited by many factors, so the power source needs to be optimized to reach the maximum level. One of the crucial technologies to enhance the power production of photovoltaic structures is maximum power point tracking (MPPT) measurement. This technology increases energy production by providing many advantages such as security, freedom, maximum energy efficiency, and environmental protection. MPPT continuously monitors the maximum power point of the photovoltaic structure to ensure the system operates at peak efficiency. This technology is indispensable in today's solar systems, enabling the use of solar energy and reducing dependence on fossil fuels. By optimizing solar energy production, MPPT technology plays a crucial role in supporting the future of energy. It helps reduce climate change and promotes environmentally friendly practices through the use of renewable energy. MPPT technology also increases solar reliability, reduces maintenance costs, and improves overall performance. This makes MPPT an essential part of the modern solar system, ensuring they are efficient and effective.

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Regular paper Review of Different MPPT techniques for a Photovoltaic Generation System
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References (33)

  1. A. Loukriz et al., "A new simplified algorithm for real-time power optimization of TCT Interconnected PV array under any mismatch conditions," Journal Européen des Systèmes Automatisés, vol. 54, no. 6, pp. 805-817, Dec. 2021, doi: 10.18280/jesa.540602.
  2. R. Khanaki, M. A. M. Radzi, and M. H. Marhaban, "Comparison of ANN and P&O MPPT methods for PV applications under changing solar irradiation," in 2013 IEEE Conference on Clean Energy and Technology (CEAT), Nov. 2013, pp. 287-292, doi: 10.1109/CEAT.2013.6775642.
  3. R. T. Moyo, P. Y. Tabakov, and S. Moyo, "Design and modeling of the ANFIS-Based MPPT controller for a solar photovoltaic system," Journal of Solar Energy Engineering, vol. 143, no. 4, Aug. 2021, doi: 10.1115/1.4048882.
  4. K. Y. Yap, C. R. Sarimuthu, and J. M.-Y. Lim, "Artificial intelligence based MPPT techniques for solar power system: A review," Journal of Modern Power Systems and Clean Energy, vol. 8, no. 6, pp. 1043-1059, 2020, doi: 10.35833/MPCE.2020.000159.
  5. A. Chellakhi, S. El Beid, and Y. Abouelmahjoub, "An improved adaptable step-size P&O MPPT approach for standalone photovoltaic systems with battery station," Simulation Modelling Practice and Theory, vol. 121, p. 102655, Dec. 2022, doi: 10.1016/j.simpat.2022.102655.
  6. S. Mohanty, B. Subudhi, and P. K. Ray, "A grey wolf-assisted perturb & observe MPPT algorithm for a PV system," IEEE Transactions on Energy Conversion, vol. 32, no. 1, pp. 340-347, Mar. 2017, doi: 10.1109/TEC.2016.2633722.
  7. M. Sarvi and A. Azadian, "A comprehensive review and classified comparison of MPPT algorithms in PV systems," Energy Systems, vol. 13, no. 2, pp. 281-320, May 2022, doi: 10.1007/s12667-021-00427-x.
  8. K. K. Rout, D. P. Mishra, S. Mishra, G. T. Rishitha, and S. R. Salkuti, "Application of fuzzy logic technique to track maximum power point in photovoltaic systems," Indonesian Journal of Electrical Engineering and Computer Science, vol. 29, no. 1, pp. 101-109, Jan. 2023, doi: 10.11591/ijeecs.v29.i1.pp101-109.
  9. J. Jayaudhaya, K. R. Kumar, V. T. Selvi, and N. Padmavathi, "Improved performance analysis of PV array model using flower pollination algorithm and gray wolf optimization algorithm," Mathematical Problems in Engineering, vol. 2022, pp. 1-17, Aug. 2022, doi: 10.1155/2022/5803771.
  10. M. F. Jalil, S. Khatoon, I. Nasiruddin, and R. C. Bansal, "Review of PV array modelling, configuration and MPPT techniques," International Journal of Modelling and Simulation, vol. 42, no. 4, pp. 533-550, Jul. 2022, doi: 10.1080/02286203.2021.1938810.
  11. A. Chitransh and M. S. Kumar, "The different type of MPPT techniques for photovoltaic system," Indian Journal of Environment Engineering, vol. 1, no. 4, pp. 1-4, May 2021, doi: 10.54105/ijee.A1809.111221.
  12. A. A. Adebiyi, I. Lazarus, A. K. Saha, and E. E. Ojo, "Performance analysis of PV panels connected in various orientations under different climatic conditions," in Proceedings of the 5th Southern African Solar Energy Conference (SASEC 2018), 2018, pp. 46-51.
  13. M. M. ELhagry, Z. Elkady, N. Abdel-Rahim, and F. Bendary, "New topology of multiple-input single-output PV system for DC load applications," Journal of Electrical Systems and Information Technology, vol. 3, no. 3, pp. 471-484, Dec. 2016, doi: 10.1016/j.jesit.2015.10.005.
  14. P. Verma, R. Garg, and P. Mahajan, "Asymmetrical interval type-2 fuzzy logic control based MPPT tuning for PV system under partial shading condition," ISA Transactions, vol. 100, pp. 251-263, May 2020, doi: 10.1016/j.isatra.2020.01.009.
  15. M. Eydi, S. I. Hosseini Sabzevari, and R. Ghazi, "A novel strategy of maximum power point tracking for photovoltaic panels based on fuzzy logic algorithm," Advances in Electrical and Electronic Engineering, vol. 18, no. 1, pp. 1-10, Mar. 2020, doi: 10.15598/aeee.v18i1.3511.
  16. S. D. Al-Majidi, M. F. Abbod, and H. S. Al-Raweshidy, "A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems," International Journal of Hydrogen Energy, vol. 43, no. 31, pp. 14158-14171, Aug. 2018, doi: 10.1016/j.ijhydene.2018.06.002.
  17. S. Samal, P. K. Barik, and S. K. Sahu, "Extraction of maximum power from a solar PV system using fuzzy controller based MPPT technique," in 2018 Technologies for Smart-City Energy Security and Power (ICSESP), Mar. 2018, pp. 1-6, doi: 10.1109/ICSESP.2018.8376721.
  18. E. Kandemir, S. Borekci, and N. S. Cetin, "Conventional and soft-computing based MPPT methods comparisons in direct and indirect modes for single stage PV systems," Elektronika ir Elektrotechnika, vol. 24, no. 4, pp. 45-52, Aug. 2018, doi: 10.5755/j01.eie.24.4.21477.
  19. M. Ali, A. Talha, and E. M. Berkouk, "New M5P model tree-based control for doubly fed induction generator in wind energy conversion system," Wind Energy, vol. 23, no. 9, pp. 1831-1845, Sep. 2020, doi: 10.1002/we.2519.
  20. J.-C. Kim, J.-H. Huh, and J.-S. Ko, "Optimization design and test bed of fuzzy control rule base for PV system MPPT in micro grid," Sustainability, vol. 12, no. 9, p. 3763, May 2020, doi: 10.3390/su12093763.
  21. S. Blaifi, S. Moulahoum, R. Benkercha, B. Taghezouit, and A. Saim, "M5P model tree based fast fuzzy maximum power point tracker," Solar Energy, vol. 163, pp. 405-424, Mar. 2018, doi: 10.1016/j.solener.2018.01.071.
  22. C. H. Basha and C. Rani, "Different conventional and soft computing MPPT techniques for solar PV systems with high step-up boost converters: A comprehensive analysis," Energies, vol. 13, no. 2, p. 371, Jan. 2020, doi: 10.3390/en13020371.
  23. C. R. Algarín, D. S. Hernández, and D. R. Leal, "A low-cost maximum power point tracking system based on neural network inverse model controller," Electronics, vol. 7, no. 1, p. 4, Jan. 2018, doi: 10.3390/electronics7010004.
  24. R. Divyasharon, R. Narmatha Banu, and D. Devaraj, "Artificial neural network based MPPT with CUK converter topology for PV systems under varying climatic conditions," in 2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Apr. 2019, pp. 1-6, doi: 10.1109/INCOS45849.2019.8951321.
  25. K. Fatima, M. A. Alam, and A. F. Minai, "Optimization of solar energy using ANN techniques," in 2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC), Oct. 2019, pp. 174-179, doi: 10.1109/PEEIC47157.2019.8976854.
  26. S. D. Al-Majidi, M. F. Abbod, and H. S. Al-Raweshidy, "Design of an intelligent MPPT based on ANN using a real photovoltaic system data," in 2019 54th International Universities Power Engineering Conference (UPEC), Sep. 2019, pp. 1-6, doi: 10.1109/UPEC.2019.8893638.
  27. S. D. Al-Majidi, M. F. Abbod, and H. S. Al-Raweshidy, "A particle swarm optimization-trained feedforward neural network for predicting the maximum power point of a photovoltaic array," Engineering Applications of Artificial Intelligence, vol. 92, p. 103688, Jun. 2020, doi: 10.1016/j.engappai.2020.103688.
  28. L. P. N. Jyothy and M. R. Sindhu, "An artificial neural network based MPPT algorithm for solar PV system," in 2018 4th International Conference on Electrical Energy Systems (ICEES), Feb. 2018, pp. 375-380, doi: 10.1109/ICEES.2018.8443277.
  29. K. K. Rout, D. P. Mishra, S. Mishra, S. Patra, and S. R. Salkuti, "Perturb and observe maximum power point tracking approach for microgrid linked photovoltaic system," Indonesian Journal of Electrical Engineering and Computer Science, vol. 29, no. 2, pp. 635-643, Feb. 2023, doi: 10.11591/ijeecs.v29.i2.pp635-643.
  30. P. S. Panuya, S. R. Salkuti, and S.-C. Kim, "Design and analysis of maximum power point tracking-based charging system," in Lecture Notes in Electrical Engineering, vol. 1039, 2023, pp. 177-194. doi: 10.1007/978-981-99-2066-2_9.
  31. H. D. Tafti, A. Sangwongwanich, Y. Yang, G. Konstantinou, J. Pou, and F. Blaabjerg, "A general algorithm for flexible active power control of photovoltaic systems," in 2018 IEEE Applied Power Electronics Conference and Exposition (APEC), Mar. 2018, pp. 1115-1121, doi: 10.1109/APEC.2018.8341156.
  32. Y. Yang and H. Wen, "Adaptive perturb and observe maximum power point tracking with current predictive and decoupled power control for grid-connected photovoltaic inverters," Journal of Modern Power Systems and Clean Energy, vol. 7, no. 2, pp. 422-432, Mar. 2019, doi: 10.1007/s40565-018-0437-x.
  33. S. R. Salkuti, "Techno-economic analysis of renewable energy, storage, and electric vehicles for sustainable development," Energies, vol. 18, no. 2, p. 238, 2025, doi: 10.3390/en18020238.

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