ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Smart Grids
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1611573
This article is part of the Research TopicModeling and Control of Power Electronics for RenewablesView all 10 articles
Unit Power Rating Balancing for Differential Power Processing-Based Distributed Photovoltaic Systems
Provisionally accepted
- 1PowerChina Huadong Engineering Corporation Limited, Hangzhou, Jiangsu Province, China
- 2Zhejiang University, Hangzhou, China
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Differential power processing (DPP) architectures are an effective solution for photovoltaic (PV) systems that face uncertainty in environmental conditions, such as non-uniform irradiation, which significantly degrades electricity production efficiency and operating safety. Among different architectures, the PV-to-bus DPP configuration outperforms in control flexibility and galvanic isolation capability. However, recent controls for PV-to-bus architectures still leave much to be desired for efficiency enhancement, such as implementation complexity and unit power distributions. In this paper, a unit power rating balancing (UPRB) scheme is proposed to reconfigure the distributions of differential power among the unit converters, aiming to ensure a submodule-level optimization and enhance the performance of the entire PV system. The proposed UPRB is integrated perturbation and observation (P&O)-based maximum power point tracking (MPPT) units to maximize the energy harvesting from PV modules, and the unit balance point tracking (UBPT) unit is employed to determined the optimal string current reference directly for mitigate the unbalanced differential power in DPP units. By suppressing the maximum processed power in each DPP unit, the capital cost and system size can be reduced. The simulation and experimental results are carried out to evaluate the proposed control.
Keywords: Differential power processing, photovoltaic system, Energy Harvesting, unit power rating balancing, Efficiency
Received: 14 Apr 2025; Accepted: 28 Apr 2025.
Copyright: © 2025 Ni, Zhao and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yinxiao Zhu, Zhejiang University, Hangzhou, China
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