Hierarchical PV to PV series differential power processing for photovoltaic applications: Power flow and converter rating analysis

Afshin Nazer, Patrizio Manganiello and Olindo Isabella

Mathematics and Computers in Simulation (MATCOM), 2025, vol. 236, issue C, 305-319

Abstract: The energy yield of Photovoltaic (PV) systems is significantly reduced by mismatch among PV (sub)modules. To counter this, a solution known as PV-to-PV (PV2PV) Series Differential Power Processing (SDPP) has been thoroughly explored in literature. However, conventional PV2PV SDPP architectures can lead to the so-called “accumulation effect”, which significantly increases the total power processed by the converters forming the architecture as well as their component ratings. This paper focuses on a hierarchical PV2PV SDPP architecture as an alternative to mitigate this issue. The equations describing the operation of the hierarchical PV2PV SDPP architecture are derived and its performance analyzed. A comparison between conventional and hierarchical PV2PV SDPP architectures is conducted, and simulations in MATLAB/Simulink environment validate the hierarchical architecture's ability to reduce the accumulation effect, enhancing PV system energy yield.

Keywords: Distributed maximum power point tracking; Differential power processing; Mismatch losses; Partial shading; Photovoltaic systems; Photovoltatronics (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:236:y:2025:i:c:p:305-319

DOI: 10.1016/j.matcom.2025.04.009

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