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Artificial Intelligence-Based Fault Tolerant Control Strategy in Wind Turbine Systems

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contributor authorBouzekri, Amina
contributor authorAllaoui, Tayeb
contributor authorDenai, Mouloud
contributor authorMihoub, Youcef
date accessioned2017-12-04T17:41:02Z
date available2017-12-04T17:41:02Z
date issued2017-06-30
identifier citationBouzekri , A , Allaoui , T , Denai , M & Mihoub , Y 2017 , ' Artificial Intelligence-Based Fault Tolerant Control Strategy in Wind Turbine Systems ' International Journal of Renewable Energy Research , vol 7 , no. 2 , pp. 652-659 .en
identifier issn1309-0127
identifier otherPURE: 12082136
identifier otherPURE UUID: a3d76ccb-b7a3-44c4-b726-50ca7b0f5e1a
identifier otherScopus: 85020488254
identifier uri
identifier uri
descriptionThis is an Open Access article published by ILHAMI COLAK. Content in the UH Research Archive is made available for personal research, educational, and non-commercial purposes only. Unless otherwise stated, all content is protected by copyright, and in the absence of an open license, permissions for further re-use should be sought from the publisher, the author, or other copyright holder.en
description abstractPower converters play an important role as an enabling technology in the electric power industry, especially in Wind Energy Systems (WESs). Where they ensure to regulate the exchanging powers between the system and the grid. Therefore; any fault occurs in any parts of these converters for a limited time without eliminating, it may degrade the system stability and performance. This paper presents a new artificial intelligence-based detection method of open switch faults in power converters connecting doubly-fed induction (DFIG) generator wind turbine systems to the grid. The detection method combines a simple Fault Tolerant Control (FTC) strategy with fuzzy logic and uses rotor current average values to detect the faulty switch in a very short period of time. In addition, following a power switch failure, the FTC strategy activates the redundant leg and restores the operation of the converter. In order to improve the performance of the closed-loop system during transients and faulty conditions, current control is based on a PI (proportional-integral) controller optimized using genetic algorithms. The simulation model was developed in Matlab/Simulink environment and the simulation results demonstrate the effectiveness of the proposed FTC method and closed-loop current control schemeen
format extent8en
language isoeng
relation ispartofInternational Journal of Renewable Energy Researchen
subjectdoubly fed induction generatoren
subjectwind turbineen
subjectopen switch faulten
subjectfuzzy logicen
subjectmaximum power point trackingen
subjectgrid side converteren
subjectgenetic algorithmen
subjectfault tolerant controlen
titleArtificial Intelligence-Based Fault Tolerant Control Strategy in Wind Turbine Systemsen
contributor institutionSchool of Engineering and Technologyen
contributor institutionCentre for Engineering Researchen
contributor institutionSmart Electronics Devices and Networksen
description versionpublishersversionen
description statusPeer revieweden

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