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A Fuzzy Logical-Based Variable Step Size P&O MPPT Algorithm for Photovoltaic System
John Macaulay,
Zhongfu Zhou 
Energies, Volume: 11, Issue: 6, Start page: 1340
Swansea University Author:
Zhongfu Zhou
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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...
| Published in: | Energies |
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| ISSN: | 1996-1073 |
| Published: |
MDPI
2018
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa40416 |
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| 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 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”. |
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| Keywords: |
variable step size; P&O MPPT; fuzzy logic; PV emulator; dSPACE |
| College: |
Faculty of Science and Engineering |
| Issue: |
6 |
| Start Page: |
1340 |