A Novel Adaptive Control Approach for Maximum Power-Point Tracking in Photovoltaic Systems

Muhammad Ahmed Qureshi, Francesco Torelli, Salvatore Musumeci, Alberto Reatti, Andrea Mazza and Gianfranco Chicco ()
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Muhammad Ahmed Qureshi: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy
Francesco Torelli: Dipartimento Ingegneria Elettrica e dell’Informazione, Politecnico di Bari, 70125 Bari, Italy
Salvatore Musumeci: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy
Alberto Reatti: Dipartimento Ingegneria dell’Informazione, University of Florence, 50139 Firenze, Italy
Andrea Mazza: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy
Gianfranco Chicco: Dipartimento Energia “Galileo Ferraris”, Politecnico di Torino, 10129 Torino, Italy

Energies, 2023, vol. 16, issue 6, 1-18

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.

Keywords: photovoltaic plant; maximum power-point tracker; Buck-Boost converter; Lyapunov theory; model reference adaptive control; Torelli control box (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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