Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller

This paper presents a maximum power control of grid-connected solid oxide fuel cell system using the adaptive fuzzy logic controller. The system consists of a boost converter connected to the fuel cell and a three-phase inverter connected to the 380 Volt 50 Hz. utility grid. The adaptive fuzzy logic...

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Main Authors: Chanasut N., Premrudeepreechacharn S.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-57949104576&partnerID=40&md5=4d6ff78a531d170854e232dbf37fbba5
http://cmuir.cmu.ac.th/handle/6653943832/1354
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-13542014-08-29T09:29:12Z Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller Chanasut N. Premrudeepreechacharn S. This paper presents a maximum power control of grid-connected solid oxide fuel cell system using the adaptive fuzzy logic controller. The system consists of a boost converter connected to the fuel cell and a three-phase inverter connected to the 380 Volt 50 Hz. utility grid. The adaptive fuzzy logic controller receives the current and voltage from the fuel cell when the temperature changes within the range of 800°C to 1100°C. Then the scaling factor and the membership functions of error and the change of error are adjusted by this controller. These parameters are sent to the fuzzy knowledge base controller in order to evaluate the inference. By using the inference, the duty ratio of the boost converter is controlled so that the fuel cell is able to provide the maximum power. It is found that the percentage of the maximum power using the adaptive fuzzy logic controller in the system is about 97% which is higher than the use of the conventional fuzzy logic controller and the Proportional-Integral (PI) controller. © 2008 IEEE. 2014-08-29T09:29:12Z 2014-08-29T09:29:12Z 2008 Conference Paper 9781424422791 01972618 10.1109/08IAS.2008.278 74531 CIASD http://www.scopus.com/inward/record.url?eid=2-s2.0-57949104576&partnerID=40&md5=4d6ff78a531d170854e232dbf37fbba5 http://cmuir.cmu.ac.th/handle/6653943832/1354 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description This paper presents a maximum power control of grid-connected solid oxide fuel cell system using the adaptive fuzzy logic controller. The system consists of a boost converter connected to the fuel cell and a three-phase inverter connected to the 380 Volt 50 Hz. utility grid. The adaptive fuzzy logic controller receives the current and voltage from the fuel cell when the temperature changes within the range of 800°C to 1100°C. Then the scaling factor and the membership functions of error and the change of error are adjusted by this controller. These parameters are sent to the fuzzy knowledge base controller in order to evaluate the inference. By using the inference, the duty ratio of the boost converter is controlled so that the fuel cell is able to provide the maximum power. It is found that the percentage of the maximum power using the adaptive fuzzy logic controller in the system is about 97% which is higher than the use of the conventional fuzzy logic controller and the Proportional-Integral (PI) controller. © 2008 IEEE.
format Conference or Workshop Item
author Chanasut N.
Premrudeepreechacharn S.
spellingShingle Chanasut N.
Premrudeepreechacharn S.
Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
author_facet Chanasut N.
Premrudeepreechacharn S.
author_sort Chanasut N.
title Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
title_short Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
title_full Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
title_fullStr Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
title_full_unstemmed Maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
title_sort maximum power control of grid-connected solid oxide fuel cell system using adaptive fuzzy logic controller
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-57949104576&partnerID=40&md5=4d6ff78a531d170854e232dbf37fbba5
http://cmuir.cmu.ac.th/handle/6653943832/1354
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