LAPSE:2018.0528
Published Article
LAPSE:2018.0528
Joint Operation between a PSO-Based Global MPP Tracker and a PV Module Array Configuration Strategy under Shaded or Malfunctioning Conditions
Pi-Yun Chen, Kuei-Hsiang Chao, Bo-Jyun Liao
September 21, 2018
This paper aims to present a smart, particle swarm optimization (PSO)-based, real time configuration strategy for a photovoltaic (PV) module array in the event of shadow cast on a PV module(s) and/or module failure as an effective approach to power generation efficiency elevation. At the first step, the respective maximum output power levels provided by a normal operating array at various levels of irradiation and module surface temperatures are measured and entered as references into a database. Subsequently, the maximum output power (MPP) level, tracked by a MPP tracker, is feedbacked for a comparison with an aforementioned reference as a way to tell whether there is either a shadow or a malfunction event on a PV module(s). Once an abnormal operation is detected, the presented smart configuration algorithm is performed to reconfigure the PV module array such that the array is operated at the global MPP as intended. Furthermore, by use of a PIC microcontroller that is a family of microcontrollers made by Microchip Technology for compact implementation, this study is experimentally validated as an effective approach to locating the global MPP at all events.
Keywords
configuration strategy, maximum power point tracker, Particle Swarm Optimization, photovoltaic module array, shaded or malfunctioning
Suggested Citation
Chen PY, Chao KH, Liao BJ. Joint Operation between a PSO-Based Global MPP Tracker and a PV Module Array Configuration Strategy under Shaded or Malfunctioning Conditions. (2018). LAPSE:2018.0528
Author Affiliations
Chen PY: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Chao KH: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Liao BJ: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E2005
Year
2018
Publication Date
2018-08-01
Published Version
ISSN
1996-1073
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Original Submission
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PII: en11082005, Publication Type: Journal Article
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LAPSE:2018.0528
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doi:10.3390/en11082005
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Sep 21, 2018
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Sep 21, 2018
 
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Original Submitter
Calvin Tsay
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