The uncertainty associated with modelling and performance of solar photovoltaic systems could be easily and efficiently solved by using Maximum power point techniques. During the past decade of 2010 to 2021, the classification of techniques based on intelligent, non- intelligent and their hybrid models are found as potential techniques for detecting the maximum power point of a photovoltaic system. In addition, for this decade there is no extensive and comprehensive review on applicability of intelligent, non-intelligent and their hybrid models for performance prediction and modelling of solar photovoltaic systems. Therefore, this article focuses on extensive review on design, modelling, maximum power point tracking, advantages, disadvantages of each technique, evolutionary trend, convergence and tracking speed, and output efficiency prediction of solar photovoltaic systems under partial shading conditions and non-partial shading conditions using intelligent, non-intelligent and their hybrid techniques. Furthermore, a total of 77 selected articles on the solar PV tracking technique and their hybrid models together with the PV technology were reviewed. Total of 22 articles are reviewed and summarized in this review paper for the period of 2010 to 2021 with 12 articles in non- intelligent technique, 7 articles in intelligent technique and 3 articles in their hybrid form. The review showed the suitability and reliability of intelligent, non-intelligent and their hybrid models for accurate detection of maximum power point and the performance characteristics of solar photovoltaic systems. Finally, this review presents the guidance for the researchers and engineers in the field of solar photovoltaic systems to select the suitable techniques for enhancement of the performance characteristics of the solar photovoltaic systems and the utilization of the available solar radiation.
OPARAKU2, O , UGWU3, S & OGBONNA4, C (2023). A Comprehensive Review on Recent MPPT of a Solar PV Systems using Intelligent, Non-Intelligent Hybrid based Tech. Afribary. Retrieved from https://tracking.afribary.com/works/a-comprehensive-review-on-recent-mppt-of-a-solar-pv-systems-using-intelligent-non-intelligent-hybrid-based-tech
OPARAKU2, Ogbonna et. al. "A Comprehensive Review on Recent MPPT of a Solar PV Systems using Intelligent, Non-Intelligent Hybrid based Tech" Afribary. Afribary, 11 Jul. 2023, https://tracking.afribary.com/works/a-comprehensive-review-on-recent-mppt-of-a-solar-pv-systems-using-intelligent-non-intelligent-hybrid-based-tech. Accessed 25 Nov. 2024.
OPARAKU2, Ogbonna, Samuel UGWU3 and Chibuzo OGBONNA4 . "A Comprehensive Review on Recent MPPT of a Solar PV Systems using Intelligent, Non-Intelligent Hybrid based Tech". Afribary, Afribary, 11 Jul. 2023. Web. 25 Nov. 2024. < https://tracking.afribary.com/works/a-comprehensive-review-on-recent-mppt-of-a-solar-pv-systems-using-intelligent-non-intelligent-hybrid-based-tech >.
OPARAKU2, Ogbonna , UGWU3, Samuel and OGBONNA4, Chibuzo . "A Comprehensive Review on Recent MPPT of a Solar PV Systems using Intelligent, Non-Intelligent Hybrid based Tech" Afribary (2023). Accessed November 25, 2024. https://tracking.afribary.com/works/a-comprehensive-review-on-recent-mppt-of-a-solar-pv-systems-using-intelligent-non-intelligent-hybrid-based-tech