Experimental Investigation and Development of Fuzzy Logic-Based MPPT for Photovoltaic Systems Across Varied Climatic Conditions

P. Poornima; K.  Boopathy

Authors

P. Poornima Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), India
K. Boopathy Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), India

Keywords:

Fuzzy, MPPT, PV, MATLAB, Converter

Abstract

The Fuzzy-based photovoltaic (PV) Maximum Power Point Tracking (MPPT) algorithm is a sophisticated approach for enhancing the efficiency and performance of solar photovoltaic systems. It uses fuzzy logic principles to dynamically track and maintain the optimal operating point related to PV panel, ensuring that the determined available power is extracted under varying environmental conditions. Unlike traditional MPPT techniques, the Fuzzy-based PV MPPT algorithm excels which adjusting to changing rapidly the weather surroundings and is more robust in partial shading scenarios. It employs linguistic variables and rule-based decision-making to continuously adjust the voltage which related to the current at which the PV panel operates. This enables the system to efficiently respond to factors such as cloud cover, shading, and temperature variations, optimizing energy production and reducing energy losses. The adaptability and robustness of the Fuzzy-based PV MPPT algorithm make it a valuable tool for harnessing renewable solar energy, contributing to sustainable power generation and reducing reliance on conventional energy sources. The Fuzzy-based MPPT algorithm presents a compelling solution to address the shortcomings of conventional MPPT controllers and increase 2. operational effectiveness of solar power systems.

Author Biographies

P. Poornima, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), India

Department of Electrical and Electronics Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Tamil Nadu, India

K. Boopathy, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), India

Department of Electrical and Electronics Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation (Deemed to be University), Tamil Nadu, India

References

P. Deori, R. Bhuyan and A. Ahmad, “Improved control scheme for grid connected solar PV system with fuzzy MPPT,” in *Proc. IEEE Int. Conf. Power Electron., Drives and Energy Syst. (PEDES)*, pp. 1–5, 2022.

“MPPT controller and battery management system,” in *Proc. 5th Int. Conf. Electrical, Electronics, Communication, Computer Technol. and Optimization Techniques (ICEECCOT)*, IEEE, 2021.

L. Bhukya and S. Nandiraju, “A novel photovoltaic maximum power point tracking technique based on grasshopper optimized fuzzy logic approach,” *Int. J. Hydrogen Energy*, vol. 45, no. 16, pp. 9416–9427, 2020.

Shaikh, Abdul Majeed, et al. "Comparative analysis of different MPPT techniques using boost converter for photovoltaic systems under dynamic shading conditions." Sustainable Energy Technologies and Assessments 57, 103259, 2023.

K. Ramya, G S N Raju, PA Sunny Dayal, "Synthesis of Difference Patterns Using Genetic Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 3, pp. 94-103, 2023.

Ramli, Makbul AM, et al. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions." Renewable and Sustainable Energy Reviews 67 (2017): 144-159.

Tran Duc Chuyen, Le Van Anh, Nguyen Cao Cuong, Nguyen Van Toan, "Research on Controlling DC/AC Converter Using Solar Power System for The Applications in Industrial," SSRG International Journal of Electrical and Electronics Engineering, vol. 7, no. 12, pp. 15-20, 2020.

Gowid, Samer, and Ahmed Massoud. "A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact." Alexandria Engineering Journal 59.5 (2020): 3699-3707.

Ram, J. Prasanth, N. Rajasekar, and Masafumi Miyatake. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review." Renewable and Sustainable Energy Reviews 73 (2017): 1138-1159.

Baba, Ali Omar, Guangyu Liu, and Xiaohui Chen. "Classification and evaluation review of maximum power point tracking methods." Sustainable Futures 2 (2020): 100020.

Refaat, Ahmed, et al. "A novel metaheuristic MPPT technique based on enhanced autonomous group Particle Swarm Optimization Algorithm to track the GMPP under partial shading conditions-Experimental validation." Energy Conversion and Management 287 (2023): 117124.

Moradi, Mohammad H., et al. "A robust hybrid method for maximum power point tracking in photovoltaic systems." Solar Energy 94 (2013): 266-276.

Esram, Trishan, and Patrick L. Chapman. "Comparison of photovoltaic array maximum power point tracking techniques." IEEE Transactions on energy conversion 22.2 (2007): 439-449.

Zhu, Xiaojuan, et al. "Effects of Nonlinear MPPT Control and PV Array on Stability Analysis for a Utility-scale PV Energy System." IEEE Transactions on Energy Conversion (2023).

Jeong, Hoejeong, et al. "Review of differential power processing converter techniques for photovoltaic applications." IEEE Transactions on Energy Conversion 34.1 (2018): 351-360.

Zhu, Xiaojuan, et al. "Effects of Nonlinear MPPT Control and PV Array on Stability Analysis for a Utility-scale PV Energy System." IEEE Transactions on Energy Conversion (2023).

Zaions, Deividi F., et al. "Comparative analysis of buck and boost converters applied to different maximum power point tracking techniques for photovoltaic systems." 2017 Brazilian power electronics conference (COBEP). IEEE, 2017.

Sen, Ankita, Satyabrata Pradhan, and Amritesh Kumar. "A novel curve scanning based maximum power point tracking algorithm under partial shading conditions." 2020 IEEE First International Conference on Smart Technologies for Power, Energy and Control (STPEC). IEEE, 2020.

Sreekumar, Shilpa, and Anish Benny. "Maximum power point tracking of photovoltaic system using Fuzzy Logic Controller based boost converter." 2013 International conference on current trends in engineering and technology (ICCTET). IEEE, 2013.

Vinnikov, Dmitri, et al. "Implementation of global maximum power point tracking in photovoltaic microconverters: A survey of challenges and opportunities." IEEE Journal of Emerging and Selected Topics in Power Electronics 11.2 (2021): 2259-2280.

Boukenoui, R., and A. Mellit. "Applications of improved versions of fuzzy logic based maximum power point tracking for controlling photovoltaic systems." Solar Photovoltaic Power Plants: Advanced Control and Optimization Techniques (2019): 143-164.

Swain, Nibedita. "Performance Comparison of P&O and Fuzzy Logic-Based MPPT Control Technique for Stand-Alone Photovoltaic System." Emerging Electronics and Automation: Select Proceedings of E2A 2021. Singapore: Springer Nature Singapore, 2022. 149-160.

Jain, Arihant, et al. "Asymmetrical Fuzzy Logic-Based Controller for MPPT in Photovoltaic Application." Advances in Electrical and Computer Technologies: Select Proceedings of ICAECT 2020. Springer Singapore, 2021.

Kumar, Bhavnesh, Yogesh K. Chauhan, and Vivek Shrivastava. "Assessment of a fuzzy logic-based MRAS observer used in a photovoltaic array supplied AC drive." Frontiers in Energy 8 (2014): 81-89.

Anwer, Abbas Mahmood Oghor, Fuad Alhaj Omar, and Ahmet Afsin Kulaksiz. "Design of a fuzzy logic-based MPPT controller for a PV system employing sensorless control of MRAS-based PMSM." International Journal of Control, Automation and Systems 18 (2020): 2788-2797.

Gotekar, P. S., S. P. Muley, and D. P. Kothari. "Comparison of Maximum Power Point Tracking—Perturb and Observe and Fuzzy Logic Controllers for Single Phase Photovoltaic Systems." Emerging Research in Electronics, Computer Science and Technology: Proceedings of International Conference, ICERECT 2018. Springer Singapore, 2019.

Pradip, Raval Parth, et al. "Maximum power point tracking of photovoltaic systems using fuzzy-PID-based controller." Advances in Communication, Devices and Networking: Proceedings of ICCDN 2019 3. Springer Singapore, 2020.

Priyanka, Garg, Santanu Kumar Dash, and Vangala Padmaja. "Investigation of the Efficiency for Fuzzy Logic-Based MPPT Algorithm Dedicated for Standalone Low-Cost PV Systems." Intelligent Systems: Proceedings of ICMIB 2020. Springer Singapore, 2021.

Priyadarshi, Neeraj, et al. "An artificial fuzzy logic intelligent controller based MPPT for PV grid utility." Proceedings of 2nd International Conference on Communication, Computing and Networking: ICCCN 2018, NITTTR Chandigarh, India. Springer Singapore, 2019.

Agrawal, Anish, and Anadi Shankar Jha. "Fuzzy Logic-Based Solar Generation Tracking." Control Applications in Modern Power System: Select Proceedings of EPREC 2020. Singapore: Springer Singapore, 2020. 487-495.

Saravanan, S., N. Ramesh Babu, and Padmanaban Sanjeevikumar. "Comparative analysis of DC/DC converters with MPPT techniques-based PV system." Advances in Power Systems and Energy Management: ETAEERE-2016 (2018): 275-284.