Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems
This study describes the effectiveness of applying Fuzzy controller into the renewable energy storage system for better efficiency. Different small size power generators need to be initially started up in order to fulfil the demand of power at the rush hours. V2G (Vehicle to grid) technology is an i...
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2021
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oai:doaj.org-article:b3e2cdcd2c284e62993004283f92c91a2021-12-01T10:45:19ZCritical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems10.18421/TEM104-162217-83092217-8333https://doaj.org/article/b3e2cdcd2c284e62993004283f92c91a2021-11-01T00:00:00Zhttps://www.temjournal.com/content/104/TEMJournalNovember2021_1610_1615.pdfhttps://doaj.org/toc/2217-8309https://doaj.org/toc/2217-8333This study describes the effectiveness of applying Fuzzy controller into the renewable energy storage system for better efficiency. Different small size power generators need to be initially started up in order to fulfil the demand of power at the rush hours. V2G (Vehicle to grid) technology is an interface of bidirectional electrical grid which allows electric vehicles to take energy from the mesh. The calculation for the power requirement of the battery is initiated for identifying the charging load. When it comes to power management for the electric vehicles (EVs), information technology plays a vital role for the V2G framework. The delivery of power request to the aggregate of EVs through the aggregator is done with the help of sending a signal from the RTO/ISO. The load is generated with the help of huge as well as continuously running units of power generation and gradable EVs. In V2G optimization, lowering the overall operational cost may be achieved by using wind power as well as using the grid.Mohammed Y. GhadiFadi SakkaAhmed Al NakeebTamara al ShloulUIKTENarticlev2g frameworkpower managementrenewable energyEducationLTechnologyTENTEM Journal, Vol 10, Iss 4, Pp 1610-1615 (2021) |
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v2g framework power management renewable energy Education L Technology T Mohammed Y. Ghadi Fadi Sakka Ahmed Al Nakeeb Tamara al Shloul Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
description |
This study describes the effectiveness of applying Fuzzy controller into the renewable energy storage system for better efficiency. Different small size power generators need to be initially started up in order to fulfil the demand of power at the rush hours. V2G (Vehicle to grid) technology is an interface of bidirectional electrical grid which allows electric vehicles to take energy from the mesh. The calculation for the power requirement of the battery is initiated for identifying the charging load. When it comes to power management for the electric vehicles (EVs), information technology plays a vital role for the V2G framework. The delivery of power request to the aggregate of EVs through the aggregator is done with the help of sending a signal from the RTO/ISO. The load is generated with the help of huge as well as continuously running units of power generation and gradable EVs. In V2G optimization, lowering the overall operational cost may be achieved by using wind power as well as using the grid. |
format |
article |
author |
Mohammed Y. Ghadi Fadi Sakka Ahmed Al Nakeeb Tamara al Shloul |
author_facet |
Mohammed Y. Ghadi Fadi Sakka Ahmed Al Nakeeb Tamara al Shloul |
author_sort |
Mohammed Y. Ghadi |
title |
Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
title_short |
Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
title_full |
Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
title_fullStr |
Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
title_full_unstemmed |
Critical Analysis of the Application of Fuzzy Logic in Renewable Energy Systems |
title_sort |
critical analysis of the application of fuzzy logic in renewable energy systems |
publisher |
UIKTEN |
publishDate |
2021 |
url |
https://doaj.org/article/b3e2cdcd2c284e62993004283f92c91a |
work_keys_str_mv |
AT mohammedyghadi criticalanalysisoftheapplicationoffuzzylogicinrenewableenergysystems AT fadisakka criticalanalysisoftheapplicationoffuzzylogicinrenewableenergysystems AT ahmedalnakeeb criticalanalysisoftheapplicationoffuzzylogicinrenewableenergysystems AT tamaraalshloul criticalanalysisoftheapplicationoffuzzylogicinrenewableenergysystems |
_version_ |
1718405252877647872 |