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A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System

John Macaulay, Zhongfu Zhou Orcid Logo

Energies, Volume: 11, Issue: 6, Start page: 1340

Swansea University Author: Zhongfu Zhou Orcid Logo

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DOI (Published version): 10.3390/en11061340

Abstract

The research presents a high-performance maximum power point tracking (MPPT) algorithm for Photovoltaic (PV) power generation systems. The proposed MPPT technique was simulated and validated via constructed PV emulator and dSPACE based rapid control prototyping system. Test results show that the pro...

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Published in: Energies
ISSN: 1996-1073
Published: MDPI 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40416
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spelling 2019-09-09T15:02:53.0284741 v2 40416 2018-05-25 A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System 614fc57cde2ee383718d4f4c462b5fba 0000-0002-0843-7253 Zhongfu Zhou Zhongfu Zhou true false 2018-05-25 ACEM The research presents a high-performance maximum power point tracking (MPPT) algorithm for Photovoltaic (PV) power generation systems. The proposed MPPT technique was simulated and validated via constructed PV emulator and dSPACE based rapid control prototyping system. Test results show that the proposed algorithm has significantly improved the tracking efficiency of PV energy conversion systems. The constructed test platform also provides a fast implementation of control algorithms in a real-time environment. The advantage of implementing the test platform is to give industries easy implementation of various control strategies for PV converters without dependency on atmospheric conditions”. Journal Article Energies 11 6 1340 MDPI 1996-1073 variable step size; P&amp;O MPPT; fuzzy logic; PV emulator; dSPACE 25 5 2018 2018-05-25 10.3390/en11061340 http://www.mdpi.com/1996-1073/11/6/1340 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2019-09-09T15:02:53.0284741 2018-05-25T10:08:39.6573192 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering John Macaulay 1 Zhongfu Zhou 0000-0002-0843-7253 2 0040416-25052018101317.pdf energies-11-01340(1).pdf 2018-05-25T10:13:17.2630000 Output 4404364 application/pdf Version of Record true 2018-05-25T00:00:00.0000000 true eng
title A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
spellingShingle A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
Zhongfu Zhou
title_short A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
title_full A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
title_fullStr A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
title_full_unstemmed A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
title_sort A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
author_id_str_mv 614fc57cde2ee383718d4f4c462b5fba
author_id_fullname_str_mv 614fc57cde2ee383718d4f4c462b5fba_***_Zhongfu Zhou
author Zhongfu Zhou
author2 John Macaulay
Zhongfu Zhou
format Journal article
container_title Energies
container_volume 11
container_issue 6
container_start_page 1340
publishDate 2018
institution Swansea University
issn 1996-1073
doi_str_mv 10.3390/en11061340
publisher MDPI
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
url http://www.mdpi.com/1996-1073/11/6/1340
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description The research presents a high-performance maximum power point tracking (MPPT) algorithm for Photovoltaic (PV) power generation systems. The proposed MPPT technique was simulated and validated via constructed PV emulator and dSPACE based rapid control prototyping system. Test results show that the proposed algorithm has significantly improved the tracking efficiency of PV energy conversion systems. The constructed test platform also provides a fast implementation of control algorithms in a real-time environment. The advantage of implementing the test platform is to give industries easy implementation of various control strategies for PV converters without dependency on atmospheric conditions”.
published_date 2018-05-25T07:17:56Z
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score 11.05816

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