LAPSE:2023.25503
Published Article
LAPSE:2023.25503
Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System
Moacyr A. G. de Brito, Victor A. Prado, Edson A. Batista, Marcos G. Alves, Carlos A. Canesin
March 28, 2023
This paper presents a novel complete design procedure to convert a maximum power point tracking (MPPT) algorithm into a control system. The MPPT algorithm can be tuned by employing any control system design. In this paper, we adopted Bode diagrams using the criteria of module and phase as the power electronics specialists are habituated with such concepts. The MPPT control transfer functions were derived using the average state equations and small-signal analysis. The control loops were derived for power and voltage control loops. The design procedure was applied to the well-known perturb and observe (P&O) and incremental conductance (IC) algorithms, returning the P&O based on PI and IC based on PI algorithms. Such algorithms were evaluated through simulation and experimental results. Additionally, we showed that the proposed design methodology can optimize energy harvesting, allowing algorithms to have outstanding tracking factors (above 99%) and adaptability characteristics.
Keywords
Algorithms, control loops, energy harvesting, MPPT, photovoltaic energy
Suggested Citation
Brito MAGD, Prado VA, Batista EA, Alves MG, Canesin CA. Design Procedure to Convert a Maximum Power Point Tracking Algorithm into a Loop Control System. (2023). LAPSE:2023.25503
Author Affiliations
Brito MAGD: Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul—UFMS, Campo Grande 79070-900, MS, Brazil [ORCID]
Prado VA: Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul—UFMS, Campo Grande 79070-900, MS, Brazil
Batista EA: Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul—UFMS, Campo Grande 79070-900, MS, Brazil [ORCID]
Alves MG: Ningbo Institute of Technology, School of Computing and Data Engineering, Zhejiang University, Ningbo 315100, China
Canesin CA: Faculty of Engineering, São Paulo State University—UNESP, Ilha Solteira 15385-000, SP, Brazil
Journal Name
Energies
Volume
14
Issue
15
First Page
4550
Year
2021
Publication Date
2021-07-27
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14154550, Publication Type: Journal Article
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LAPSE:2023.25503
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doi:10.3390/en14154550
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