Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control

As power demand constantly (and rapidly) increases and with the introduction of many sophisticated electronic devices, power quality issues are becoming a major problem for the power sector. In this context, issues of power quality, voltage swells and sags have become rather common. Custom power dev...

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Main Authors: J. Chakravorty, G. Sharma, V. Bhatia
Format: Article
Language:English
Published: D. G. Pylarinos 2018-04-01
Series:Engineering, Technology & Applied Science Research
Subjects:
Online Access:https://etasr.com/index.php/ETASR/article/view/1849
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spelling doaj-12edbba5e9734eb0a3b063724caab4392020-12-02T15:33:44ZengD. G. PylarinosEngineering, Technology & Applied Science Research2241-44871792-80362018-04-0182479Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic ControlJ. Chakravorty0G. Sharma1V. Bhatia2Electrical Engineering Department, Indus University, Ahmedabad, IndiaElectrical Engineering Department, Baddi University, Himachal Pradesh, IndiaElectrical Engineering Department, Baddi University, Himachal Pradesh, IndiaAs power demand constantly (and rapidly) increases and with the introduction of many sophisticated electronic devices, power quality issues are becoming a major problem for the power sector. In this context, issues of power quality, voltage swells and sags have become rather common. Custom power devices are generally used to solve this problem. A dynamic voltage restorer (DVR) is the most efficient and effective modern custom power device used in power distribution networks. In this paper a new DVR model is presented. The proposed DVR has a molten carbonate fuel cell (MCFC) as its DC source of supply with an ultra-capacitor along with a fuzzy controller as its controlling unit. The complete model is implemented in MATLAB/SIMULINK and the output of the proposed model is compared with conventional DVR model with a simple DC voltage source and a capacitor with the same fuzzy controller https://etasr.com/index.php/ETASR/article/view/1849DPFCMCFCultra capacitorfuzzy logic
collection DOAJ
language English
format Article
sources DOAJ
author J. Chakravorty
G. Sharma
V. Bhatia
spellingShingle J. Chakravorty
G. Sharma
V. Bhatia
Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
Engineering, Technology & Applied Science Research
DPFC
MCFC
ultra capacitor
fuzzy logic
author_facet J. Chakravorty
G. Sharma
V. Bhatia
author_sort J. Chakravorty
title Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
title_short Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
title_full Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
title_fullStr Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
title_full_unstemmed Analysis of a DVR with Molten Carbonate Fuel Cell and Fuzzy Logic Control
title_sort analysis of a dvr with molten carbonate fuel cell and fuzzy logic control
publisher D. G. Pylarinos
series Engineering, Technology & Applied Science Research
issn 2241-4487
1792-8036
publishDate 2018-04-01
description As power demand constantly (and rapidly) increases and with the introduction of many sophisticated electronic devices, power quality issues are becoming a major problem for the power sector. In this context, issues of power quality, voltage swells and sags have become rather common. Custom power devices are generally used to solve this problem. A dynamic voltage restorer (DVR) is the most efficient and effective modern custom power device used in power distribution networks. In this paper a new DVR model is presented. The proposed DVR has a molten carbonate fuel cell (MCFC) as its DC source of supply with an ultra-capacitor along with a fuzzy controller as its controlling unit. The complete model is implemented in MATLAB/SIMULINK and the output of the proposed model is compared with conventional DVR model with a simple DC voltage source and a capacitor with the same fuzzy controller
topic DPFC
MCFC
ultra capacitor
fuzzy logic
url https://etasr.com/index.php/ETASR/article/view/1849
work_keys_str_mv AT jchakravorty analysisofadvrwithmoltencarbonatefuelcellandfuzzylogiccontrol
AT gsharma analysisofadvrwithmoltencarbonatefuelcellandfuzzylogiccontrol
AT vbhatia analysisofadvrwithmoltencarbonatefuelcellandfuzzylogiccontrol
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