Etarhouni, M. and Chong, B. orcid.org/0000-0001-5977-7197 (2023) Control of Cascaded PV-Ćuk Converter Modules by Particle Swarm Optimization under Partial Shading Conditions. In: Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science. Proceedings of the 9th World Congress on Electrical Engineering and Computer Systems and Science, 03-05 Aug 2023, London, UK. Avestia Publishing , EEE 107-1-EEE 107-8. ISBN 978-1-990800-26-9
Abstract
This paper presents a particle swarm optimization (PSO) technique for the maximum power point tracking of a PV power generation system under unequal solar irradiation. The system consists of multiple PV-Ćuk converter (PVCC) modules in a series chain and a terminal step-up converter for load connection. The bidirectional Ćuk converter in each PVCC has two PV panels connected at its four terminals. The configuration offers the advantage that under shading or module mismatching, the Ćuk converter provides a current bypass which can allow two PV panels track their available maximum power. The new PSO-based MPPT control scheme estimates the voltages corresponding to the maximum power each PV panel can generate under its specific weather conditions. Tuning of the controller parameters is based on the transfer function model of the proposed PVCC. The results show that the proposed PSO MPPT and modelbased control can ensure high performance maximum power generation regardless of shading conditions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © COPYRIGHT 2022, INTERNATIONAL ASET INC. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Cascaded PV-Ćuk converter (PVCC), Maximum power point estimating algorithm, Photovoltaic (PV) system, Partial shading, Particle swarm optimisation (PSO) |
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) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Jun 2025 10:26 |
Last Modified: | 03 Jun 2025 00:39 |
Status: | Published |
Publisher: | Avestia Publishing |
Identification Number: | 10.11159/eee23.107 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227251 |