Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive...

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Main Authors: Nopporn Patcharaprakiti, Suttichai Premrudeepreechacharn, Yosanai Sriuthaisiriwong
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/62187
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-621872018-09-11T09:23:20Z Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system Nopporn Patcharaprakiti Suttichai Premrudeepreechacharn Yosanai Sriuthaisiriwong Energy This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance. In addition, adaptive fuzzy logic controllers can also change the fuzzy parameter for improving the control system. The single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. Both conventional fuzzy logic controller and adaptive fuzzy logic controller are simulated and implemented to evaluate performance. Simulation and experimental results are provided for both controllers under the same atmospheric condition. From the simulation and experimental results, the adaptive fuzzy logic controller can deliver more power than the conventional fuzzy logic controller. © 2005 Published by Elsevier Ltd. 2018-09-11T09:23:20Z 2018-09-11T09:23:20Z 2005-09-01 Journal 09601481 2-s2.0-18144394654 10.1016/j.renene.2004.11.018 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18144394654&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/62187
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Energy
spellingShingle Energy
Nopporn Patcharaprakiti
Suttichai Premrudeepreechacharn
Yosanai Sriuthaisiriwong
Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
description This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance. In addition, adaptive fuzzy logic controllers can also change the fuzzy parameter for improving the control system. The single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. Both conventional fuzzy logic controller and adaptive fuzzy logic controller are simulated and implemented to evaluate performance. Simulation and experimental results are provided for both controllers under the same atmospheric condition. From the simulation and experimental results, the adaptive fuzzy logic controller can deliver more power than the conventional fuzzy logic controller. © 2005 Published by Elsevier Ltd.
format Journal
author Nopporn Patcharaprakiti
Suttichai Premrudeepreechacharn
Yosanai Sriuthaisiriwong
author_facet Nopporn Patcharaprakiti
Suttichai Premrudeepreechacharn
Yosanai Sriuthaisiriwong
author_sort Nopporn Patcharaprakiti
title Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
title_short Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
title_full Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
title_fullStr Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
title_full_unstemmed Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
title_sort maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=18144394654&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/62187
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