LAPSE:2023.31315
Published Article

LAPSE:2023.31315
A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems
April 18, 2023
Abstract
Maximum power-point tracking (MPPT) is applied to enable effective operation of photovoltaic (PV) systems under different external conditions. MPPT is based on a control system that aims at maintaining the PV system operation in the most effective conditions of maximum power output. This paper demonstrates the effective application of a novel adaptive control approach developed to be used in the field of power electronics. The application to MPPT is developed by using a non-inverted Buck-Boost converter applied to the PV system. The novel control methodology is based on the application of the Lyapunov stability concepts. The strength of this novel control technique is confirmed by the accurate comparison among the results obtained by using the proposed solution and some controllers proposed in the literature.
Maximum power-point tracking (MPPT) is applied to enable effective operation of photovoltaic (PV) systems under different external conditions. MPPT is based on a control system that aims at maintaining the PV system operation in the most effective conditions of maximum power output. This paper demonstrates the effective application of a novel adaptive control approach developed to be used in the field of power electronics. The application to MPPT is developed by using a non-inverted Buck-Boost converter applied to the PV system. The novel control methodology is based on the application of the Lyapunov stability concepts. The strength of this novel control technique is confirmed by the accurate comparison among the results obtained by using the proposed solution and some controllers proposed in the literature.
Record ID
Keywords
Buck-Boost converter, Lyapunov theory, maximum power-point tracker, model reference adaptive control, photovoltaic plant, Torelli control box
Subject
Suggested Citation
Qureshi MA, Torelli F, Musumeci S, Reatti A, Mazza A, Chicco G. A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems. (2023). LAPSE:2023.31315
Author Affiliations
Qureshi MA: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Torelli F: Dipartimento Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70125 Bari, Italy
Musumeci S: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Reatti A: Dipartimento Ingegneria dell’Informazione, University of Florence, 50139 Firenze, Italy [ORCID]
Mazza A: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Chicco G: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Torelli F: Dipartimento Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70125 Bari, Italy
Musumeci S: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Reatti A: Dipartimento Ingegneria dell’Informazione, University of Florence, 50139 Firenze, Italy [ORCID]
Mazza A: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Chicco G: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy [ORCID]
Journal Name
Energies
Volume
16
Issue
6
First Page
2782
Year
2023
Publication Date
2023-03-16
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16062782, Publication Type: Journal Article
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LAPSE:2023.31315
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https://doi.org/10.3390/en16062782
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Apr 18, 2023
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Apr 18, 2023
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