The Impact of Reconfiguration on the Energy Performance of the Distributed Maximum Power Point Tracking Approach in PV Plants

Marco Balato and Carlo Petrarca
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Marco Balato: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Napoli, Italy
Carlo Petrarca: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Napoli, Italy

Energies, 2020, vol. 13, issue 6, 1-19

Abstract: The following two approaches can address the drawbacks associated with mismatching phenomena in photovoltaic (PV) plants: distributed maximum power point tracking (DMPPT) architecture and reconfigurable PV array architecture. Until now, these two approaches have represented alternative solutions. In this paper, for the first time, it is suggested that the two approaches can be used together. In particular, it will be shown how the joint adoption of the DMPPT and reconfiguration approaches can improve the performances of mismatched PV plants; here, performance is understood as the best compromise between the efficiency and reliability of the entire PV system. Numerical results confirm the above assumptions, providing the hints for the development of innovative reconfiguration techniques suitable for distributed applications.

Keywords: distributed maximum power point tracking; mismatching; photovoltaic array reconfiguration (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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