Exploration of different maximum power point tracking techniques for photovoltaic system

References

• Ahmad, Riaz, Ali F. Murtaza, and Hadeed Ahmed Sher. 2019. “Power Tracking Techniques for Efficient Operation of Photovoltaic Array in Solar Applications – A Review.” Renewable and Sustainable Energy Reviews 101: 82–102.
   Web of Science ®Google Scholar
• Ahmed, Jubaer, and Zainal Salam. 2015. “An Improved Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) Algorithm for Higher Efficiency.” Applied Energy 150: 97–108.
   Web of Science ®Google Scholar
• Alsumiri, M. A., L. Jiang, and W. H. Tang. 2014. “Maximum Power Point Tracking Controller for Photovoltaic System Using Sliding Mode Control.” 3rd Renewable Power Generation Conference (RPG 2014), 1–5.
   Google Scholar
• Babaa, Saleh Elkelani, Matthew Armstrong, and Volker Pickert. 2014. “Overview of Maximum Power Point Tracking Control Methods for PV Systems.” Journal of Power and Energy Engineering 2: 59–72.
   Google Scholar
• Baimel, Dmitry, Saad Tapuchi, Yoash Levron, and Juri Belikov. 2019. “Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems.” Electronics 8: Article number: 321.
   Web of Science ®Google Scholar
• Barra, Kamel, and Djamel Rahem. 2014. “Predictive Direct Power Control for Photovoltaic Grid Connected System: An Approach Based on Multilevel Converters: A Novel ant Colony Optimization-Based Maximum Power Point Tracking for Photovoltaic Systems Under Partially Shaded Conditions.” Energy Conversion and Management 78: 825–834.
   Web of Science ®Google Scholar
• Belu, Radian. 2015. Chapter 87 Power Electronics and Controls in Solar Photovoltaic Systems. IGI Global.
   Google Scholar
• Benadli, Ridha, and Anis Sellami. 2014. “Sliding Mode Control of a Photovoltaic-Wind Hybrid System.” 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 1–8.
   Google Scholar
• Bhatnagar, Pallavee, and R. K. Nema. 2013. “Maximum Power Point Tracking Control Techniques: State-of-the-Art in Photovoltaic Applications.” Renewable and Sustainable Energy Reviews 23: 224–241.
   Web of Science ®Google Scholar
• Bianconi, E., J. Calvente, R. Giral, E. Mamarelis, G. Petrone, C. A. Ramos-Paja, G. Spagnuolo, and M. Vitelli. 2013. “A Fast Current-Based MPPT Technique Employing Sliding Mode Control.” IEEE Transactions on Industrial Electronics 60: 1168–1178.
   Web of Science ®Google Scholar
• Bollipo, R. B., Mikkili S., and Bonthagorla P. K.. 1993. “Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation.” IET Renewable Power Generation 14: 1433–1452. doi:10.1049/iet-rpg.2019.1163.
   Web of Science ®Google Scholar
• Bounechba, Hadjer, A. Bouzid, Hamza Snani, and Abderezak Lashab. 2016. “Real Time Simulation of MPPT Algorithms for PV Energy System.” International Journal of Electrical Power & Energy Systems 83: 67–78.
   Web of Science ®Google Scholar
• Bouselham, Loubna, Mohammed Hajji, Bekkay Hajji, and Hicham Bouali. 2017. “A New MPPT-based ANN for Photovoltaic System under Partial Shading Conditions.” Energy Procedia, 8th International Conference on Sustainability in Energy and Buildings, SEB-16, 11–13 September 2016, Turin, Italy, 924–933.
   Google Scholar
• Cha, H., and S. Lee. 2008. “Design and Implementation of Photovoltaic Power Conditioning System Using a Current Based Maximum Power Point Tracking.” 2008 IEEE Industry Applications Society Annual Meeting, 1–5.
   Google Scholar
• Cherukuri, Santhan, and Srinivasa Rayapudi. 2016. “A Novel Global MPP Tracking of Photovoltaic System Based on Whale Optimization Algorithm.” International Journal of Renewable Energy Development 5: 225–232.
   Google Scholar
• Chu, Chen Chi, and Chieh-Li Chen. 2009. “Robust Maximum Power Point Tracking Method for Photovoltaic Cells: A Sliding Mode Control Approach.” Solar Energy 83: 1370–1378.
   Web of Science ®Google Scholar
• de Brito, M. A. G., L. P. Sampaio, G. Luigi, G. A. eMelo, and C. A. Canesin. 2011. “Comparative Analysis of MPPT Techniques for PV Applications.” 2011 International Conference on Clean Electrical Power (ICCEP), 99–104.
   Google Scholar
• Dzung, P. Q., Le Dinh Khoa, Hong Hee Lee, Le Minh Phuong, and Nguyen Truong Dan Vu. 2010. “The New MPPT Algorithm Using ANN-Based PV.” International Forumon Strategic Technology 2010: 402–407.
   Google Scholar
• Ebrahim, M. A., Adham Osama, Khaled Mohamed Kotb, and Fahmy Bendary. 2019. “Whale Inspired Algorithm Based MPPT Controllers for Grid-Connected Solar Photovoltaic System.” Energy Procedia 162: 77–86.
   Google Scholar
• El Bahir, Lhoussain, and Touria Hassboun. 2017. “Accurate Maximum Power Point Tracking Algorithm Based on a Photovoltaic Device Model.” International Journal of Photoenergy 2017 (Special issue).
   Google Scholar
• Eltamaly, Ali, and Hegazy Rezk. 2016. “Design & Performance Analysis of Fuzzy Based MPPT Control Using Two-Switch Non Inverting Buck-Boost Converter.” Solar Energy 112: 1–11.
   Google Scholar
• Eltawil, Mohamed A., and Zhengming Zhao. 2013. “MPPT Techniques for Photovoltaic Applications.” Renewable and Sustainable Energy Reviews 25: 193–813.
   Web of Science ®Google Scholar
• Enany, Mohamed A., Mohamed A. Farahat, and Ahmed Nasr. 2016. “Modeling and Evaluation of Main Maximum Power Point Tracking Algorithms for Photovoltaics Systems.” Renewable and Sustainable Energy Reviews 58: 1578–1586.
   Web of Science ®Google Scholar
• Enslin, J. H. R., M. S. Wolf, D. B. Snyman, and W. Swiegers. 1997. “Integrated Photovoltaic Maximum Power Point Tracking Converter.” IEEE Transactions on Industrial Electronics 44: 769–773.
   Web of Science ®Google Scholar
• Eskandar, Hadi, Ali Sadollah, Ardeshir Bahreinineja, and Mohd Abd Shukor. 2012. “Water Cycle Algorithm – A Novel Metaheuristic Optimization Method for Solving Constrained Engineering Optimization Problems.” Computers Structures 110: 151–166.
   Web of Science ®Google Scholar
• Esram, T., and P. L. Chapman. 2007. “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques.” IEEE Transactions on Energy Conversion 22: 439–449.
   Web of Science ®Google Scholar
• Fathi, Milad, and Jafar Amiri Parian. 2021. “Intelligent MPPT for Photovoltaic Panels Using a Novel Fuzzy Logic and Artificial Neural Networks Based on Evolutionary Algorithms.” Energy Reports 7: 1338–1348.
   Web of Science ®Google Scholar
• Femia, N., G. Petrone, G. Spagnuolo, and M. Vitelli. 2005. “Optimization of Perturb and Observe Maximum Power Point Tracking Method.” IEEE Transactions on Power Electronics 20: 963–973.
   Web of Science ®Google Scholar
• Femia, N., G. Petrone, G. Spagnuolo, and M. Vitelli. 2009. “A Technique for Improving P&O MPPT Performances of Double-Stage Grid-Connected Photovoltaic Systems.” IEEE Transactions on Industrial Electronics 56: 4473–4482.
   Web of Science ®Google Scholar
• Gao, Z., S. Li, X. Zhou, Y. Ma, and J. Zhao. 2017. “A New Maximum Power Point Tracking Method for PV System.” 2017 29th Chinese Control and Decision Conference (CCDC), 544–548.
   Google Scholar
• Ghazanfari, J., and Maghfoori Farsangi. 2013. “Maximum Power Point Tracking Using Sliding Mode Control for Photovoltaic Array.” Iranian Journal of Electrical and Electronic Engineering 9: 189–196.
   Google Scholar
• Gil-Velasco, Alfredo, and Carlos Aguilar-Castillo. 2021. “A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions.” Energies 14: Article number 2521.
   Web of Science ®Google Scholar
• Guenounou, Ouahib, Boutaib Dahhou, and Ferhat Chabour. 2014. “Adaptive Fuzzy Controller Based MPPT for Photovoltaic Systems.” Energy Conversion and Management 78: 843–850.
   Web of Science ®Google Scholar
• Gupta, A., P. Kumar, R. K. Pachauri, and Y. K. Chauhan. 2014. “Performance Analysis of Neural Network and Fuzzy Logic Based MPPT Techniques for Solar PV Systems.” 2014 6th IEEE Power India International Conference (PIICON), 1–6.
   Google Scholar
• Hameed, Arslan, Haris Sheh Zad, Abasin Ulasyar, and Jibran Hashim. 2020. “Robust Sliding Mode Control based Maximum Power Point Tracking of Solar Photovoltaic System.” 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET).
   Google Scholar
• Hamid, Muhammad Riazul, Jakaria Rahimi, Sabrina Chowdhury, and T. M. Moniruzzaman Sunny. 2016. “Design and Development of a Maximum Power Point Tracking (MPPT) Charge Controller for Photo-Voltaic (PV) Power Generation System.” American Journal of Engineering Research 5: 15–22.
   Google Scholar
• Hohm, D. P., and M. E. Ropp. 2000. Comparative Study of Maximum Power Point Tracking Algorithms.” Progress in Photovoltaics: Research and Applications 11: 47–62.
   Web of Science ®Google Scholar
• Husain, Mohammed Aslam, Abhinandan Jain, Abu Tariq, and Atif Iqbal. 2019. “Fast and Precise Global Maximum Power Point Tracking Techniques for Photovoltaic System.” IET Renewable Power Generation 13: 2569–2579.
   Web of Science ®Google Scholar
• Husain, Mohammed Aslam, Abu Tariq, Salman Hameed, M. Saad Bin Arif, and Abhinandan Jain. 2017. “Comparative Assessment of Maximum Power Point Tracking Procedures for Photovoltaic Systems.” Green Energy Environment 2.
   Google Scholar
• Ishaque, Kashif Salam, Zainal Amjad, and Saad Muhammad Mekhilef. 2012. “An Improved Particle Swarm Optimization (PSO) Based MPPT for PV with Reduced Steady State Oscillation.” IEEE Transactions on Power Electronics 27: 3627–3638.
   Web of Science ®Google Scholar
• Islam, M. A., A. B. Talukdar, N. Mohammad, and P. K. S. Khan. 2010. “Maximum Power Point Tracking of Photovoltaic Arrays in Matlab Using Fuzzy Logic Controller.” 2010 Annual IEEE India Conference (INDICON), 1–4.
   Google Scholar
• Jain, S., and Vivek Agarwal. 2004. “A New Algorithm for Rapid Tracking of Approximate Maximum Power Point in Photovoltaic Systems.” IEEE Power Electronics Letters 2: 16–19.
   Google Scholar
• Javed, Muhammad Yaqoob, Ali Hasan, Syed Tahir Hussain Rizvi, Annas Hafeez, Sajid Sarwar, and Achraf Jabeur Telmoudi. 2022. “Water Cycle Algorithm (WCA): A New Technique to Harvest Maximum Power from PV.” Cybernetics and Systems 53: 80–102.
   Web of Science ®Google Scholar
• Javed, Saba, and Kashif Ishaque. 2022. “A Comprehensive Analyses with new Findings of Different PSO Variants for MPPT Problem under Partial Shading.” Ain Shams Engineering Journal 13.
   Web of Science ®Google Scholar
• Jiang, Lian L., Douglas L. Maskell, and Jagdish C Patra. 2013. “A Novel Ant Colony Optimization Based Maximum Power Point Tracking for Photovoltaic Systems under Partially Shaded Conditions.” Energy and Buildings 58: 227–236.
   Web of Science ®Google Scholar
• Jiang, Lian, Srivatsan Ramasubramanian, and Douglas L. Maskell. 2018. “Computational Intelligence Techniques for Maximum Power Point Tracking in PV Systems: A Review.” Renewable and Sustainable Energy Reviews 85: 14–45.
   Web of Science ®Google Scholar
• Joel, Y. S., H. V. Saikumar, and S. S. R. Patange. 2016. “Design & Performance Analysis of Fuzzy Based MPPT Control Using Two-Switch Non Inverting Buck-Boost Converter.” 2016 International Conference on Electrical Power and Energy Systems (ICEPES), 414–419.
   Google Scholar
• Kamran, Muhammad, Muhammad Mudassar, Muhammad Rayyan Fazal, Muhammad Usman Asghar, Muhammad Bilal, and Rohail Asghar. 2020. “Implementation of Improved Perturb ObserveMPPT Technique with Confined Search Space for Standalone Photovoltaic System.” Journal of King Saud University – Engineering Sciences.
   Google Scholar
• Kandemir, Ekrem, Selim Borekci, and Numan S. Cetin. 2018. “Comparative Analysis of Reduced-Rule Compressed Fuzzy Logic Control and Incremental Conductance MPPT Methods.” Journal of Electronic Materials 47: 4463–4474.
   Web of Science ®Google Scholar
• Karami, Nabil, Nazih Moubayed, and Rachid Outbib. 2017. “General Review and Classification of Different MPPT Techniques.” Renewable and Sustainable Energy Reviews 68: 1–18.
   Web of Science ®Google Scholar
• Kerekes, Tamas, Remus Teodorescu, Marco Liserre, R. A. Mastromauro, and A. Dell’Aquila. 2008. “MPPT Algorithm for Voltage Controlled PV Inverters.” 11th International IEEE Conference on Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008.
   Google Scholar
• Kollimalla, S. K., and M. K. Mishra. 2013. “A New Adaptive P and O MPPT Algorithm Based on FSCC Method for Photovoltaic System.” 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), 406–411.
   Google Scholar
• Kollimalla, S. K., and M. K. Mishra. 2014. “A Novel Adaptive P&O MPPT Algorithm Considering Sudden Changes in the Irradiance.” IEEE Transactions on Energy Conversion 29: 602–610.
   Web of Science ®Google Scholar
• Kota, Venkata Reddy, and Muralidhar Nayak Bhukya. 2019. “A Novel Global MPP Tracking Scheme Based on Shading Pattern Identification Using Artificial Neural Networks for Photovoltaic Power Generation During Partial Shaded Condition.” IET Renewable Power Generation 13: 1647–1659.
   Web of Science ®Google Scholar
• Kumar, K Kalyan, R. Bhaskar, and Hemanth Koti. 2014. “Implementation of MPPT Algorithm for Solar Photovoltaic Cell by Comparing Short-Circuit Method and Incremental Conductance Method.” Procedia Technology 12: 705–715.
   Google Scholar
• Kuo, Yeong-Chau, Tsorng-Juu Liang, and Jiann-Fuh Chen. 2001. “Novel Maximum-Power-Point-Tracking Controller for Photovoltaic Energy Conversion System.” IEEE Transactions on Industrial Electronics 48: 594–601.
   Web of Science ®Google Scholar
• Lee, Dong-Yun, Hyeong-Ju Noh, Dong-Seok Hyun, and Ick Choy. 2003. “An Improved MPPT Converter Using Current Compensation Method for Small Scaled PV Applications.” Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC ‘03., Vol. 1, 540–545.
   Google Scholar
• Levron, Y., and D. Shmilovitz. 2013. “Maximum Power Point Tracking Employing Sliding Mode Control.” IEEE Transactions on Circuits and Systems I: Regular Papers 60: 724–732.
   Web of Science ®Google Scholar
• Liu, Yi-Hwa, Shyh-Ching, Huang, Jia-Wei Huang, and Wen-Cheng Liang. 2012. “A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions.” IEEE Transactions on Energy Conversion 27: 1027–1035.
   Web of Science ®Google Scholar
• Makhloufi, Mohamed Tahar, Yassine Abdessemed, and Mohamed Salah Khireddine. 2016. “A Feed Forward Neural Network MPPT Control Strategy Applied to a Modified Cuk Converter.”
   Google Scholar
• Mehrnami, S., and S. Farhangi. 2009. “A Fast Maximum Power Point Tracking Technique for PV Powered Systems.” 2009 35th Annual Conference of IEEE Industrial Electronics, 42–46.
   Google Scholar
• Mirjalili, Seyedali, and Andrew Lewis. 2016. “The Whale Optimization Algorithm.” Advances in Engineering Software 95: 51–67.
   Web of Science ®Google Scholar
• Montoya, D. G., C. A. Ramos-Paja, and R. Giral. 2016. “Improved Design of Sliding-Mode Controllers Based on the Requirements of MPPT Techniques.” IEEE Transactions on Power Electronics 31: 235–247.
   Web of Science ®Google Scholar
• Motamarri, Rambabu, and Nagu Bhookya. 2021. “JAYA Algorithm Based on LÃvy Flight for Global MPPT Under Partial Shading in Photovoltaic System.” IEEE Journal of Emerging and Selected Topics in Power Electronics 9: 4979–4991.
   Web of Science ®Google Scholar
• Nagadurga, T., P. V. R. L. Narasimham, and V. S. Vakula. 2022. “Global Maximum Power Point Tracking of Solar PV Strings Using the Teaching Learning Based Optimisation Technique.” International Journal of Ambient Energy 43: 1883–1894.
   Web of Science ®Google Scholar
• Narasimha Prasad, T., and A. Lakshmi Devi. 2020. “A Unified Droop Control Strategy for DC Bus Voltage Regulation and MPPT Control of Multi Input Bi-Directional DC-DC Converter in ac-DC-Microgrid.” Journal of Mechanics of Continua and Mathematical Sciences spl5.
   Google Scholar
• Narendiran, S., S. K. Sahoo, R. Das, and A. K. Sahoo. 2016. “Fuzzy Logic Controller Based Maximum Power Point Tracking for PV System.” 2016 3rd International Conference on Electrical Energy Systems (ICEES), Vol. 28, 29–34.
   Google Scholar
• Naseem, M., Mohammed Aslam Husain, Ahmad Faiz Minai, Ahmad Neyaz Khan, Mohd Amir, J. Dinesh Kumar, and Arif Iqbal. 2021. “Assessment of Meta-Heuristic and Classical Methods for GMPPT of PV System.” Transactions on Electrical and Electronic Materials 22: 217–234.
   Web of Science ®Google Scholar
• Nasr, Ahmed, Mohamed A. Farahat, and Mohamed Enany. 2015. “Assessment of Maximum Power Point Tracking Techniques for Photovoltaic System Applications.” Journal of Renewable and Sustainable Energy 7.
   Web of Science ®Google Scholar
• Nithya Jenev, J. 2018. “Implementation of MPPT Controller in Solar PV Using Jaya Algorithm.” International Journal of Research in Engineering, Science and Management.
   Google Scholar
• Nzoundja Fapi, Claude, Patrice Wira, Martin Kamta, Tchakounte Hyacinthe, and Bruno Colicchio. 2021. “Simulation and dSPACE Hardware Implementation of an Improved Fractional Short-Circuit Current MPPT Algorithm for Photovoltaic System.” Applied Solar Energy 57: 93–106.
   Google Scholar
• Onat, Nevzat. 2010. “Recent Developments in Maximum Power Point Tracking Technologies for Photovoltaic Systems.” International Journal of Photoenergy 2010.
   Web of Science ®Google Scholar
• Pakkiraiah, B., and G. Durga Sukumar. 2016. “Double Integral Sliding Mode MPPT Control of a Photovoltaic System.” Journal of Solar Energy 24: 285–292.
   Google Scholar
• Parvaneh, Mohammad Hasan, and Pouria Goharshenasan Khorasani. 2020. “A New Hybrid Method Based on Fuzzy Logic for Maximum Power Point Tracking of Photovoltaic Systems.” Energy Reports 6: 1619–1632.
   Web of Science ®Google Scholar
• Piegari, L., and R. Rizzo. 2010. “Adaptive Perturb and Observe Algorithm for Photovoltaic Maximum Power Point Tracking.” IET Renewable Power Generation 4: 317–328.
   Web of Science ®Google Scholar
• Pradhan, R., and B. Subudhi. 2016. “Double Integral Sliding Mode MPPT Control of a Photovoltaic System.” IEEE Transactions on Control Systems Technology 24 (3): 285–292.
   Web of Science ®Google Scholar
• Premkumar, Manoharan, A. Mohamed Ibrahim, Mohan Kumar Ramasamy, and R. Sowmya. 2019. “Analysis and Simulation of Bio-Inspired Intelligent Salp Swarm MPPT Method for the PV Systems under Partial Shaded Conditions.” International Journal of Computing and Digital Systems 8: 480–496.
   Google Scholar
• Premkumar, Manoharan, C. Kumar, R. Sowmya, and J. Pradeep. 2021. “A Novel Salp Swarm Assisted Hybrid Maximum Power Point Tracking Algorithm for the Solar Photovoltaic Power Generation Systems.” Automatika 62: 1–20.
   Web of Science ®Google Scholar
• Premkumar, Manoharan, and R. Sowmya. 2019a. “Certain Study on MPPT Algorithms to Track the Global MPP Under Partial Shading on Solar PVModule/Array.” International Journal of Computing and Digital Systems 8: 405–416.
   Google Scholar
• Premkumar, Manoharan, and R. Sowmya. 2019b. “An Effective Maximum Power Point Tracker for Partially Shaded Solar Photovoltaic Systems.” Energy Reports 5: 1445–1462.
   Web of Science ®Google Scholar
• Premkumar, Manoharan, Umashankar Subramaniam, Thanikanti Sudhakar Babu, Rajvikram Madurai Elavarasan, and Lucian Mihet-Popa. 2020. “Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns.” Energies 13.
   Web of Science ®Google Scholar
• Premkumar, Manoharan, Umashankar Subramaniam, Thanikanti Sudhakar Babu, Sanjeevikumar Padmanaban, Jens Bo Holm-Nielsen, Massimo Mitolo, and Sowmya Ravichandran. 2021. “Improved Perturb and Observation Maximum Power Point Tracking Technique for Solar Photovoltaic Power Generation Systems.” IEEE Systems Journal 15: 3024–3035.
   Web of Science ®Google Scholar
• Premkumar, Manoharan, and Rameshkumar Sumithira. 2018. “Humpback Whale Assisted Hybrid Maximum Power Point Tracking Algorithm for Partially Shaded Solar Photovoltaic Systems.” Journal of Power Electronics 18: 1805–1818.
   Web of Science ®Google Scholar
• Rai, N., A. Abbadi, F. Hamidia, Badreddine Kanouni, and A. Kahlessenane. 2022. “A New Modified Incremental Conductance Algorithm Used for PV System.” In Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. Vol. 361, 256–265. IC-AIRES 2021. Lecture Notes in Networks and Systems.
   Google Scholar
• Rao, R. 2016. “Jaya: A Simple and New Optimization Algorithm for Solving Constrained and Unconstrained Optimization Problems.” International Journal of Industrial Engineering Computations 7: 19–34.
   Google Scholar
• Rao, R. V., V. J. Savsani, and D. P. Vakharia. 2011. “Teaching Learning Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems.” Computer- Aided Design 43: 303–315.
   Web of Science ®Google Scholar
• Remy, Ghislain, Olivier Bethoux, Claude Marchand, and Hussein Dogan. 2009. “Review ofMPPT Techniques for Photovoltaic Systems.” 1578–1586.
   Google Scholar
• Rezk, Hegazy, and Ahmed Fathy. 2017. “Simulation of Global MPPT Based on Teaching Learning-Based Optimization Technique for Partially Shaded PV System.” Electrical Engineering 99: 847–859.
   Web of Science ®Google Scholar
• Safari, Azadeh, and Saad Mekhilef. 2011. “Simulation and Hardware Implementation of Incremental Conductance MPPT with Direct Control Method Using Cuk Converter.” IEEE Transactions on Industrial Electronics 58: 1154–1161.
   Web of Science ®Google Scholar
• Sarvi, Mohammad, Iman Soltani, and Isa Nasiri Avanaki. 2014. “A Water Cycle Algorithm Maximum Power Point Tracker for Photovoltaic Energy Conversion System under Partial Shading Condition.” Applied Mathematics in Engineering, Management and Technology.
   Google Scholar
• Sera, D., T. Kerekes, R. Teodorescu, and F. Blaabjerg. 2006. “Improved MPPT Algorithms for Rapidly Changing Environmental Conditions.” 2006 12th International Power Electronics and Motion Control Conference, 1614–1619.
   Google Scholar
• Sera, Dezso, Remus Teodorescu, and Tamas Kerekes. 2006. “Teaching Maximum Power Point Trackers Using a Photovoltaic Array Model with Graphical User Interface.” Proceedings of International workshop, IWTPV2006, Czech Republic, Vol. 48, 594–601.
   Google Scholar
• Sfirat, Alexandru, Aurel Gontean, and Szilard Bularka. 2018. “A New Method for MPPT Algorithm Implementation and Testing, Suitable for Photovoltaic Cells.” Advances in Electrical and Computer Engineering 18: 53–60.
   Web of Science ®Google Scholar
• Shang, Liqun, Hangchen Guo, and Weiwei Zhu. 2020. “An Improved MPPT Control Strategy Based on Incremental Conductance Algorithm.” Protection and Control of Modern Power Systems 5.
   Google Scholar
• Sharma, D. K., and G. Purohit. 2012. “Advanced Perturbation and Observation (P&O) Based Maximum Power Point Tracking (MPPT) of a Solar Photo-Voltaic System.” 2012 IEEE 5th India International Conference on Power Electronics (IICPE), 1–5.
   Google Scholar
• Simoes, Marcelo, and N. N. Franceschetti. 1999. “Fuzzy Optimisation-Based Control of a Solar Array System.” IEE Proceedings - Electric Power Applications 146: 552–558.
   Google Scholar
• Simoes, M. G., N. N. Franceschetti, and M. Friedhofer. 1998. “A Fuzzy Logic Based Photovoltaic Peak Power Tracking Control.” IEEE International Symposium on Industrial Electronics. Proceedings. ISIE’98 (Cat. No.98TH8357), Vol.1, 300–305.
   Google Scholar
• Soualmia, Adel, and Rachid Chenni. 2016. “A Survey of Maximum Peak Power Tracking Techniques Used in Photovoltaic Power Systems.” 2016 Future Technologies Conference (FTC), 430–443.
   Google Scholar
• Syafaruddin, Karatepe, Engin, and Takashi Hiyama. 2009. “Polar Coordinated Fuzzy Controller Based Real-Time Maximum-Power Point Control of Photovoltaic System.” Renewable Energy 34: 2597–2606.
   Web of Science ®Google Scholar
• Tafticht, T., K. Agbossou, M. L. Doumbia, and A. Chériti. 2008. “An Improved Maximum Power Point Tracking Method for Photovoltaic Systems.” Renewable Energy 33: 1508–1516.
   Web of Science ®Google Scholar
• Tafticht, T., K. Agbossou, K., and M. L. Doumbia. 2007. “A new MPPT method for photovoltaic systems used for hydrogen production.” International Journal for Computation and Mathematics in Electrical and Electronic Engineering  26: 62–74.
   Web of Science ®Google Scholar
• Talha, Abdelaziz Boumaaraf, and Houria Bouhali. 2011. “Evaluation of Maximum Power Point Tracking Methods for Photovoltaic Systems.” Archives of Control Sciences 21.
   Google Scholar
• Tobon, Andres, Julian Pelaez-Restrepo, Juan P. Villegas-Ceballos, Sergio Ignacio Serna-Garces, Jorge Herrera, and Asier Ibeas. 2017. “Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods.” Energies 10: 1316.
   Web of Science ®Google Scholar
• Tofoli, Fernando Lessa, Denis de Castro Pereira, and Wesley Josias de Paula. 2015. “Comparative Study of Maximum Power Point Tracking Techniques for Photovoltaic Systems.” International Journal of Photoenergy 2015.
   Web of Science ®Google Scholar
• Wei, Mo, Andrew Poh Chiang Loh, and Blaabjerg Frede. 2012. “Maximum Power Point Tracking Technique Implementation of Z-Source Inverter through Finite Step Model Predictive Control Strategy.” 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), 1523–1528.
   Google Scholar
• Yafaoui, A., B. Wu, and R. Cheung. 2007. “Implementation of Maximum Power Point Tracking Algorithm for Residential Photovoltaic Systems.” 2nd Canadian solar buildings conference Calgary, 10–14.
   Google Scholar
• Yan, Zhou, Liu Fei, Yin Jinjun, and Duan Shanxu. 2008. “Study on Realizing MPPT by Improved Incremental Conductance Method with Variable Step-Size.” Proc.IEEE ICIEA, 547–550.
   Google Scholar
• Yang, Huping, Qiangxin Jiang, and Yun Zhong. 2010. “Active-Disturbance Rejection Control and Its Application to Solar PV DC-DC Converter.” 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Vol. 3, V3-170–V3-173.
   Google Scholar
• Yang, Yong, and Fang Ping Zhao. 2011. “Adaptive Perturb and Observe MPPT Technique for Grid- Connected Photovoltaic Inverters.” Procedia Engineering 23: 468–473.
   Google Scholar
• Zbeeb, Ahmad, Vijay Devabhaktuni, and Abdel Sebak. 2009. “Improved Photovoltaic MPPT Algorithm Adapted for Unstable Atmospheric Conditions and Partial Shading.” 2009 IEEE International Conference on Clean Electrical Power, 320–323.
   Google Scholar
• Zhang, F., K. Thanapalan, A. Procter, S. Carr, and J. Maddy. 2013. “Adaptive Hybrid Maximum Power Point Tracking Method for a Photovoltaic System.” IEEE Transactions on Energy Conversion 28: 353–360.
   Web of Science ®Google Scholar
• Zhou, Xuesong, Jiayao Wang, and Youjie Ma. 2020. “Linear Active Disturbance Rejection Control of Grid-Connected Photovoltaic Inverter Based on Deviation Control Principle.” Energies 13: 3790.
   Web of Science ®Google Scholar