Etarhouni, M, Chong, B and Zhang, L (2021) Series-Parallel Differential Power Processing Scheme for Maximised Power Extraction from Mismatched Photovoltaic Panels. In: Proceedings of the 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020). The 10th International Conference on Power Electronics, Machines and Drives (PEMD 2020), 15-17 Dec 2020, Nottingham, UK. IEEE , pp. 814-819. ISBN 978-1-83953-542-0
Abstract
In recent years, there has been an increasing interest in utilising Differential Power Processing converters (DPP) in Photovoltaic (PV) applications to achieve the maximum power point tracking (MPPT), minimum losses and high efficiency under unequal lighting conditions. This paper presents a novel Series and Parallel (SP) DPP converters scheme, with a proper control technique to optimise the system output power under mismatch conditions compared to that of a conventional 2×2 SP array which is protected with bypass diodes. The simulation results of such system show significant improvements in the total power of the SP-DPP system under PSCs.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 May 2020 11:21 |
Last Modified: | 13 Mar 2024 06:27 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1049/icp.2021.0997 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160846 |