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Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications

Author

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  • Mohamed Derbeli

    (System Engineering and Automation Department, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Cristian Napole

    (System Engineering and Automation Department, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Oscar Barambones

    (System Engineering and Automation Department, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Jesus Sanchez

    (Electronic Technology Department, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Isidro Calvo

    (System Engineering and Automation Department, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

  • Pablo Fernández-Bustamante

    (Department of Electrical Engineering, Faculty of Engineering of Vitoria-Gasteiz, Basque Country University (UPV/EHU), 01006 Vitoria-Gasteiz, Spain)

Abstract

This article contains a review of essential control techniques for maximum power point tracking (MPPT) to be applied in photovoltaic (PV) panel systems. These devices are distinguished by their capability to transform solar energy into electricity without emissions. Nevertheless, the efficiency can be enhanced provided that a suitable MPPT algorithm is well designed to obtain the maximum performance. From the analyzed MPPT algorithms, four different types were chosen for an experimental evaluation over a commercial PV system linked to a boost converter. As the reference that corresponds to the maximum power is depended on the irradiation and temperature, an artificial neural network (ANN) was used as a reference generator where a high accuracy was achieved based on real data. This was used as a tool for the implementation of sliding mode controller (SMC), fuzzy logic controller (FLC) and model predictive control (MPC). The outcomes allowed different conclusions where each controller has different advantages and disadvantages depending on the various factors related to hardware and software.

Suggested Citation

  • Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7806-:d:684811
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    1. Gul Filiz Tchoketch Kebir & Cherif Larbes & Adrian Ilinca & Thameur Obeidi & Selma Tchoketch Kebir, 2018. "Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller," Energies, MDPI, vol. 11(12), pages 1-20, November.
    2. Daraban, Stefan & Petreus, Dorin & Morel, Cristina, 2014. "A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading," Energy, Elsevier, vol. 74(C), pages 374-388.
    3. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Maria Malvoni & Rajvikram Madurai Elavarasan & Narottam Das, 2020. "Solar Cell Technology Selection for a PV Leaf Based on Energy and Sustainability Indicators—A Case of a Multilayered Solar Photovoltaic Tree," Energies, MDPI, vol. 13(23), pages 1-26, December.
    4. Manoharan Premkumar & Umashankar Subramaniam & Hassan Haes Alhelou & Pierluigi Siano, 2020. "Design and Development of Non-Isolated Modified SEPIC DC-DC Converter Topology for High-Step-Up Applications: Investigation and Hardware Implementation," Energies, MDPI, vol. 13(15), pages 1-27, August.
    5. Mohammed Yousri Silaa & Mohamed Derbeli & Oscar Barambones & Ali Cheknane, 2020. "Design and Implementation of High Order Sliding Mode Control for PEMFC Power System," Energies, MDPI, vol. 13(17), pages 1-15, August.
    6. Rustam Kumar & Chih-Chiang Wu & Ching-Yao Liu & Yu-Lin Hsiao & Wei-Hua Chieng & Edward-Yi Chang, 2021. "Discontinuous Current Mode Modeling and Zero Current Switching of Flyback Converter," Energies, MDPI, vol. 14(18), pages 1-23, September.
    7. Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    8. Abbes Kihal & Fateh Krim & Billel Talbi & Abdelbaset Laib & Abdeslem Sahli, 2018. "A Robust Control of Two-Stage Grid-Tied PV Systems Employing Integral Sliding Mode Theory," Energies, MDPI, vol. 11(10), pages 1-21, October.
    9. Napole, Cristian & Derbeli, Mohamed & Barambones, Oscar, 2021. "A global integral terminal sliding mode control based on a novel reaching law for a proton exchange membrane fuel cell system," Applied Energy, Elsevier, vol. 301(C).
    10. Gianluca Serale & Massimo Fiorentini & Alfonso Capozzoli & Daniele Bernardini & Alberto Bemporad, 2018. "Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities," Energies, MDPI, vol. 11(3), pages 1-35, March.
    11. Mohamed Derbeli & Oscar Barambones & Jose Antonio Ramos-Hernanz & Lassaad Sbita, 2019. "Real-Time Implementation of a Super Twisting Algorithm for PEM Fuel Cell Power System," Energies, MDPI, vol. 12(9), pages 1-20, April.
    12. Jately, Vibhu & Azzopardi, Brian & Joshi, Jyoti & Venkateswaran V, Balaji & Sharma, Abhinav & Arora, Sudha, 2021. "Experimental Analysis of hill-climbing MPPT algorithms under low irradiance levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    13. Amjad Ali & Kashif Irshad & Mohammad Farhan Khan & Md Moinul Hossain & Ibrahim N. A. Al-Duais & Muhammad Zeeshan Malik, 2021. "Artificial Intelligence and Bio-Inspired Soft Computing-Based Maximum Power Plant Tracking for a Solar Photovoltaic System under Non-Uniform Solar Irradiance Shading Conditions—A Review," Sustainability, MDPI, vol. 13(19), pages 1-26, September.
    14. Novie Ayub Windarko & Muhammad Nizar Habibi & Bambang Sumantri & Eka Prasetyono & Moh. Zaenal Efendi & Taufik, 2021. "A New MPPT Algorithm for Photovoltaic Power Generation under Uniform and Partial Shading Conditions," Energies, MDPI, vol. 14(2), pages 1-22, January.
    15. Wafa Hayder & Emanuele Ogliari & Alberto Dolara & Aycha Abid & Mouna Ben Hamed & Lasaad Sbita, 2020. "Improved PSO: A Comparative Study in MPPT Algorithm for PV System Control under Partial Shading Conditions," Energies, MDPI, vol. 13(8), pages 1-22, April.
    16. Jirada Gosumbonggot & Goro Fujita, 2019. "Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature," Energies, MDPI, vol. 12(2), pages 1-22, January.
    17. Tatsuya Hinokuma & Hooman Farzaneh & Ayas Shaqour, 2021. "Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan," Energies, MDPI, vol. 14(7), pages 1-23, April.
    18. Muhammad Hafeez Mohamed Hariri & Mohd Khairunaz Mat Desa & Syafrudin Masri & Muhammad Ammirrul Atiqi Mohd Zainuri, 2020. "Grid-Connected PV Generation System—Components and Challenges: A Review," Energies, MDPI, vol. 13(17), pages 1-28, August.
    19. Chih-Chiang Hua & Yu-Jun Zhan, 2021. "A Hybrid Maximum Power Point Tracking Method without Oscillations in Steady-State for Photovoltaic Energy Systems," Energies, MDPI, vol. 14(18), pages 1-16, September.
    20. Qichang Duan & Yanling Li & Xin Dai & Tao Zou, 2017. "A Novel High Controllable Voltage Gain Push-Pull Topology for Wireless Power Transfer System," Energies, MDPI, vol. 10(4), pages 1-13, April.
    21. Vasileios Kapsalis & Grigorios Kyriakopoulos & Miltiadis Zamparas & Athanasios Tolis, 2021. "Investigation of the Photon to Charge Conversion and Its Implication on Photovoltaic Cell Efficient Operation," Energies, MDPI, vol. 14(11), pages 1-16, May.
    22. Bor-Ren Lin, 2021. "Implementation of a Resonant Converter with Topology Morphing to Achieve Bidirectional Power Flow," Energies, MDPI, vol. 14(16), pages 1-21, August.
    23. Shahid Hussain & Ki-Beom Lee & Mohamed A. Ahmed & Barry Hayes & Young-Chon Kim, 2020. "Two-Stage Fuzzy Logic Inference Algorithm for Maximizing the Quality of Performance under the Operational Constraints of Power Grid in Electric Vehicle Parking Lots," Energies, MDPI, vol. 13(18), pages 1-31, September.
    24. Mohammad Tahan & David O. Bamgboje & Tingshu Hu, 2021. "Compensated Single Input Multiple Output Flyback Converter," Energies, MDPI, vol. 14(11), pages 1-23, May.
    25. Felix Garcia-Torres & Ascension Zafra-Cabeza & Carlos Silva & Stephane Grieu & Tejaswinee Darure & Ana Estanqueiro, 2021. "Model Predictive Control for Microgrid Functionalities: Review and Future Challenges," Energies, MDPI, vol. 14(5), pages 1-26, February.
    26. Md. Rasheduzzaman & Poria Fajri & Jonathan Kimball & Brad Deken, 2021. "Modeling, Analysis, and Control Design of a Single-Stage Boost Inverter," Energies, MDPI, vol. 14(14), pages 1-29, July.
    27. Hani Albalawi & Sherif Ahmed Zaid, 2018. "An H5 Transformerless Inverter for Grid Connected PV Systems with Improved Utilization Factor and a Simple Maximum Power Point Algorithm," Energies, MDPI, vol. 11(11), pages 1-17, October.
    28. José Luis Torres-Madroñero & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Hybrid Energy Systems Sizing for the Colombian Context: A Genetic Algorithm and Particle Swarm Optimization Approach," Energies, MDPI, vol. 13(21), pages 1-30, October.
    29. Yassine Kali & Magno Ayala & Jorge Rodas & Maarouf Saad & Jesus Doval-Gandoy & Raul Gregor & Khalid Benjelloun, 2019. "Current Control of a Six-Phase Induction Machine Drive Based on Discrete-Time Sliding Mode with Time Delay Estimation," Energies, MDPI, vol. 12(1), pages 1-17, January.
    30. Carlos Muñoz & Marco Rivera & Ariel Villalón & Carlos R. Baier & Javier Muñoz & Roberto O. Ramirez & Patrick Wheeler, 2021. "Predictive Control with Current-Based Maximum Power Point-Tracking for On-Grid Photovoltaic Applications," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    31. Chendi Li & Yuanrui Chen & Dongbao Zhou & Junfeng Liu & Jun Zeng, 2016. "A High-Performance Adaptive Incremental Conductance MPPT Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 9(4), pages 1-17, April.
    32. Ehsan Mirnateghi & Ayman S. Mosallam, 2021. "Multi-Criteria Optimization of Energy-Efficient Cementitious Sandwich Panels Building Systems Using Genetic Algorithm," Energies, MDPI, vol. 14(18), pages 1-28, September.
    33. Solhee Lee & Soohyun Bae & Se Jin Park & Jihye Gwak & JaeHo Yun & Yoonmook Kang & Donghwan Kim & Young-Joo Eo & Hae-Seok Lee, 2021. "Characterization of Potential-Induced Degradation and Recovery in CIGS Solar Cells," Energies, MDPI, vol. 14(15), pages 1-12, July.
    34. Ruxu Sheng & Juntian Du & Songqi Liu & Changan Wang & Zidi Wang & Xiaoqian Liu, 2021. "Solar Photovoltaic Investment Changes across China Regions Using a Spatial Shift-Share Analysis," Energies, MDPI, vol. 14(19), pages 1-14, October.
    35. Fengxiang Wang & Zhenbin Zhang & Xuezhu Mei & José Rodríguez & Ralph Kennel, 2018. "Advanced Control Strategies of Induction Machine: Field Oriented Control, Direct Torque Control and Model Predictive Control," Energies, MDPI, vol. 11(1), pages 1-13, January.
    36. Vibha Kamaraj & N. Chellammal & Bharatiraja Chokkalingam & Josiah Lange Munda, 2020. "Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter," Energies, MDPI, vol. 13(24), pages 1-29, December.
    37. Amjad Ali & K. Almutairi & Muhammad Zeeshan Malik & Kashif Irshad & Vineet Tirth & Salem Algarni & Md. Hasan Zahir & Saiful Islam & Md Shafiullah & Neeraj Kumar Shukla, 2020. "Review of Online and Soft Computing Maximum Power Point Tracking Techniques under Non-Uniform Solar Irradiation Conditions," Energies, MDPI, vol. 13(12), pages 1-37, June.
    38. Muhannad Alshareef & Zhengyu Lin & Mingyao Ma & Wenping Cao, 2019. "Accelerated Particle Swarm Optimization for Photovoltaic Maximum Power Point Tracking under Partial Shading Conditions," Energies, MDPI, vol. 12(4), pages 1-18, February.
    39. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    40. Alessandro Romeo & Elisa Artegiani, 2021. "CdTe-Based Thin Film Solar Cells: Past, Present and Future," Energies, MDPI, vol. 14(6), pages 1-24, March.
    41. Mohammad Dehghani & Mohammad Mardaneh & Om P. Malik & Josep M. Guerrero & Carlos Sotelo & David Sotelo & Morteza Nazari-Heris & Kamal Al-Haddad & Ricardo A. Ramirez-Mendoza, 2020. "Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers," Sustainability, MDPI, vol. 12(23), pages 1-23, December.
    42. Imyhamy M. Dharmadasa & Ayotunde A. Ojo & Hussein I. Salim & Ruvini Dharmadasa, 2015. "Next Generation Solar Cells Based on Graded Bandgap Device Structures Utilising Rod-Type Nano-Materials," Energies, MDPI, vol. 8(6), pages 1-19, June.
    43. Leopoldo Gil-Antonio & Belem Saldivar & Otniel Portillo-Rodríguez & Juan Carlos Ávila-Vilchis & Pánfilo Raymundo Martínez-Rodríguez & Rigoberto Martínez-Méndez, 2019. "Flatness-Based Control for the Maximum Power Point Tracking in a Photovoltaic System," Energies, MDPI, vol. 12(10), pages 1-19, May.
    44. Hyeon-Seok Lee & Jae-Jung Yun, 2019. "Advanced MPPT Algorithm for Distributed Photovoltaic Systems," Energies, MDPI, vol. 12(18), pages 1-17, September.
    45. Kuei-Hsiang Chao & Muhammad Nursyam Rizal, 2021. "A Hybrid MPPT Controller Based on the Genetic Algorithm and Ant Colony Optimization for Photovoltaic Systems under Partially Shaded Conditions," Energies, MDPI, vol. 14(10), pages 1-17, May.
    46. Mehmetcan Gursoy & Guangping Zhuo & Andy G. Lozowski & Xin Wang, 2021. "Photovoltaic Energy Conversion Systems with Sliding Mode Control," Energies, MDPI, vol. 14(19), pages 1-20, September.
    47. Zhenpo Wang & Yachao Wang & Lei Zhang & Mingchun Liu, 2017. "Vehicle Stability Enhancement through Hierarchical Control for a Four-Wheel-Independently-Actuated Electric Vehicle," Energies, MDPI, vol. 10(7), pages 1-18, July.
    48. Ali Farzan Moghaddam & Alex Van den Bossche, 2019. "A Ćuk Converter Cell Balancing Technique by Using Coupled Inductors for Lithium-Based Batteries," Energies, MDPI, vol. 12(15), pages 1-18, July.
    49. Mostafa Bakkar & Ahmed Aboelhassan & Mostafa Abdelgeliel & Michael Galea, 2021. "PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions," Energies, MDPI, vol. 14(4), pages 1-20, February.
    50. Seaseung Oh & Suyong Chae & Jason Neely & Jongbok Baek & Marvin Cook, 2017. "Efficient Model Predictive Control Strategies for Resource Management in an Islanded Microgrid," Energies, MDPI, vol. 10(7), pages 1-16, July.
    51. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
    52. Carlos Robles Algarín & John Taborda Giraldo & Omar Rodríguez Álvarez, 2017. "Fuzzy Logic Based MPPT Controller for a PV System," Energies, MDPI, vol. 10(12), pages 1-18, December.
    53. Mohamed Louzazni & Daniel Tudor Cotfas & Petru Adrian Cotfas, 2020. "Management and Performance Control Analysis of Hybrid Photovoltaic Energy Storage System under Variable Solar Irradiation," Energies, MDPI, vol. 13(12), pages 1-23, June.
    54. Ayman Al-Quraan & Muhannad Al-Qaisi, 2021. "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System," Energies, MDPI, vol. 14(16), pages 1-23, August.
    55. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    56. Ander Chouza & Oscar Barambones & Isidro Calvo & Javier Velasco, 2019. "Sliding Mode-Based Robust Control for Piezoelectric Actuators with Inverse Dynamics Estimation," Energies, MDPI, vol. 12(5), pages 1-19, March.
    57. Yunguang Gao & Xiaofan Li & Wenjie Zhang & Dianchao Hou & Lijun Zheng, 2020. "A Sliding Mode Control Strategy with Repetitive Sliding Surface for Shunt Active Power Filter with an LCLCL Filter," Energies, MDPI, vol. 13(7), pages 1-21, April.
    58. Ali Faisal Murtaza & Hadeed Ahmed Sher & Filippo Spertino & Alessandro Ciocia & Abdullah M. Noman & Abdullrahman A. Al-Shamma’a & Abdulaziz Alkuhayli, 2021. "A Novel MPPT Technique Based on Mutual Coordination between Two PV Modules/Arrays," Energies, MDPI, vol. 14(21), pages 1-15, October.
    59. Mohamed, Mohamed A. & Zaki Diab, Ahmed A. & Rezk, Hegazy, 2019. "Partial shading mitigation of PV systems via different meta-heuristic techniques," Renewable Energy, Elsevier, vol. 130(C), pages 1159-1175.
    60. Constantin Volosencu, 2021. "Reducing Energy Consumption and Increasing the Performances of AC Motor Drives Using Fuzzy PI Speed Controllers," Energies, MDPI, vol. 14(8), pages 1-15, April.
    61. Mehmet Ali Yildirim & Marzena Nowak-Ocłoń, 2020. "Modified Maximum Power Point Tracking Algorithm under Time-Varying Solar Irradiation," Energies, MDPI, vol. 13(24), pages 1-15, December.
    62. Jieun Lee & Seokkwon Jeong, 2021. "Robust Temperature Control of a Variable-Speed Refrigeration System Based on Sliding Mode Control with Optimal Parameters Derived Using the Genetic Algorithm," Energies, MDPI, vol. 14(19), pages 1-18, October.
    63. Xiaoxuan Li & Aimin Liu, 2020. "Carrier Transmission Mechanism-Based Analysis of Front Surface Field Effects on Simplified Industrially Feasible Interdigitated Back Contact Solar Cells," Energies, MDPI, vol. 13(20), pages 1-13, October.
    64. Carlos Andres Ramos-Paja & Daniel Gonzalez Montoya & Juan David Bastidas-Rodriguez, 2018. "Sliding-Mode Control of Distributed Maximum Power Point Tracking Converters Featuring Overvoltage Protection," Energies, MDPI, vol. 11(9), pages 1-40, August.
    65. Giuseppina Nicolosi & Roberto Volpe & Antonio Messineo, 2017. "An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse," Energies, MDPI, vol. 10(5), pages 1-17, May.
    66. Nikolay Hinov, 2021. "Quasi-Boundary Method for Design Consideration of Resonant DC-DC Converters," Energies, MDPI, vol. 14(19), pages 1-13, September.
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    19. Carli, Raffaele & Dotoli, Mariagrazia & Jantzen, Jan & Kristensen, Michael & Ben Othman, Sarah, 2020. "Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø," Energy, Elsevier, vol. 198(C).
    20. Mohana Alanazi & Abdulaziz Alanazi & Ahmad Almadhor & Hafiz Tayyab Rauf, 2022. "Photovoltaic Models’ Parameter Extraction Using New Artificial Parameterless Optimization Algorithm," Mathematics, MDPI, vol. 10(23), pages 1-32, December.

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