A Comparative Study of Conventional and Soft Computing Based MPPT Techniques for PV Systems under different Operating Conditions

  • Unique Paper ID: 171376
  • PageNo: 3616-3621
  • Abstract:
  • This study compares conventional and soft computing-based Maximum Power Point Tracking (MPPT) techniques for photovoltaic (PV) systems under various operating conditions. The analysis focuses on efficiency, adaptability, and reliability, revealing significant advantages of soft computing methods in dynamic environments.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{171376,
        author = {AKSHAY RAJ and Dr Ankur Kumar Gupta and Vaibhav Sharma},
        title = {A Comparative Study of Conventional and Soft Computing Based MPPT Techniques for PV Systems under different Operating Conditions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {3616-3621},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171376},
        abstract = {This study compares conventional and soft computing-based Maximum Power Point Tracking (MPPT) techniques for photovoltaic (PV) systems under various operating conditions. The analysis focuses on efficiency, adaptability, and reliability, revealing significant advantages of soft computing methods in dynamic environments.},
        keywords = {MPPT, photovoltaic systems, soft computing, conventional techniques, efficiency, adaptability},
        month = {December},
        }

Cite This Article

RAJ, A., & Gupta, D. A. K., & Sharma, V. (2024). A Comparative Study of Conventional and Soft Computing Based MPPT Techniques for PV Systems under different Operating Conditions. International Journal of Innovative Research in Technology (IJIRT), 11(7), 3616–3621.

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