A Fast Reconfiguration Technique for Boost-Based DMPPT PV Systems Based on Deterministic Clustering Analysis

Marco Balato (), Carlo Petrarca, Annalisa Liccardo, Martina Botti and Luigi Verolino
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Marco Balato: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
Carlo Petrarca: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
Annalisa Liccardo: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
Martina Botti: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy
Luigi Verolino: Department of Electrical and Information Technologies, University of Naples “Federico II”, Via Claudio 21, 80125 Naples, Italy

Energies, 2023, vol. 16, issue 23, 1-19

Abstract: Mismatching operating conditions affect the energetic performance of PhotoVoltaic (PV) systems because they decrease their efficiency and reliability. The two different approaches used to overcome this problem are Distributed Maximum Power Point Tracking (DMPPT) architecture and reconfigurable PV array architecture. These techniques can be considered not only as alternatives but can be combined to reach better performance. To this aim, the present paper presents a new algorithm, based on the joint action of the DMPPT and reconfiguration approaches, applied to a reconfigurable Series-Parallel-Series architecture, which is suitable for domestic PV application. The core of the algorithm is a deterministic cluster analysis based on the shape of the current vs. voltage characteristic of a single PV module combined with its DC/DC converter to perform the DMPPT function. Experimental results are provided to validate the effectiveness of the proposed algorithm and to demonstrate evidence of its major advantages: robustness, simplicity of implementation and time-saving.

Keywords: distributed maximum power point tracking; mismatching; photovoltaic array re-configuration (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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