Modified perturb & observe maximum power point technique for solar photovoltaic systems

This paper discusses the Modified Perturb & Observe (MP&O) maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) power generation system. The most crucial aim of this paper is to overcome the demerits of the very old P&O algorithm such as the inability to track the ma...

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Main Authors: Premkumar M., Sudhakar Babu T., Sowmya R.
Other Authors: 57191413142
Format: Article
Published: International Journal of Scientific and Technology Research 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-255542023-05-29T16:10:49Z Modified perturb & observe maximum power point technique for solar photovoltaic systems Premkumar M. Sudhakar Babu T. Sowmya R. 57191413142 56267551500 57219263030 This paper discusses the Modified Perturb & Observe (MP&O) maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) power generation system. The most crucial aim of this paper is to overcome the demerits of the very old P&O algorithm such as the inability to track the maximum power point (MPP), steady-state oscillations, and deviation in tracking direction in the course of partial shading conditions (PSCs), and extreme shading conditions (ESCs). By varying the step size of the perturbation in the traditional P&O algorithm, it can able to detect the maximum power point (MPP) in any situation, and it can be implemented with less cost while compared to the conventional models. The proposed method is verified using MATLAB/Simulink simulations by applying all test conditions. The simulation result shows that the proposed method can able to track the maximum power point successfully under all the circumstances. � 2020 IJSTR. Final 2023-05-29T08:10:49Z 2023-05-29T08:10:49Z 2020 Article 2-s2.0-85082609251 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082609251&partnerID=40&md5=42a2afbbfbf8f50ff0c2d6b98b37fb48 https://irepository.uniten.edu.my/handle/123456789/25554 9 3 5117 5122 International Journal of Scientific and Technology Research Scopus
institution Universiti Tenaga Nasional
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country Malaysia
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description This paper discusses the Modified Perturb & Observe (MP&O) maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) power generation system. The most crucial aim of this paper is to overcome the demerits of the very old P&O algorithm such as the inability to track the maximum power point (MPP), steady-state oscillations, and deviation in tracking direction in the course of partial shading conditions (PSCs), and extreme shading conditions (ESCs). By varying the step size of the perturbation in the traditional P&O algorithm, it can able to detect the maximum power point (MPP) in any situation, and it can be implemented with less cost while compared to the conventional models. The proposed method is verified using MATLAB/Simulink simulations by applying all test conditions. The simulation result shows that the proposed method can able to track the maximum power point successfully under all the circumstances. � 2020 IJSTR.
author2 57191413142
author_facet 57191413142
Premkumar M.
Sudhakar Babu T.
Sowmya R.
format Article
author Premkumar M.
Sudhakar Babu T.
Sowmya R.
spellingShingle Premkumar M.
Sudhakar Babu T.
Sowmya R.
Modified perturb & observe maximum power point technique for solar photovoltaic systems
author_sort Premkumar M.
title Modified perturb & observe maximum power point technique for solar photovoltaic systems
title_short Modified perturb & observe maximum power point technique for solar photovoltaic systems
title_full Modified perturb & observe maximum power point technique for solar photovoltaic systems
title_fullStr Modified perturb & observe maximum power point technique for solar photovoltaic systems
title_full_unstemmed Modified perturb & observe maximum power point technique for solar photovoltaic systems
title_sort modified perturb & observe maximum power point technique for solar photovoltaic systems
publisher International Journal of Scientific and Technology Research
publishDate 2023
_version_ 1806427296626638848