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Genetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farms

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dc.citedby45
dc.contributor.authorRezaei N.en_US
dc.contributor.authorUddin M.N.en_US
dc.contributor.authorAmin I.K.en_US
dc.contributor.authorOthman M.L.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorid57216077273en_US
dc.contributor.authorid55663372800en_US
dc.contributor.authorid10040907100en_US
dc.contributor.authorid55153333400en_US
dc.contributor.authorid26423183000en_US
dc.date.accessioned2023-05-29T07:22:49Z
dc.date.available2023-05-29T07:22:49Z
dc.date.issued2019
dc.descriptionAsynchronous generators; Electric power system interconnection; Electric relays; Electric utilities; Genetic algorithms; Nonlinear programming; Overcurrent protection; Wind power; Conventional protections; Nonlinear characteristics; Nonlinear optimization methods; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protectionen_US
dc.description.abstractRigorous protection of wind power plants is a critical aspect of the electrical power protection engineering. A proper protection scheme must be planned thoroughly while designing the wind plants to provide safeguarding for the power components in case of fault occurrence. One of the conventional protection apparatus is overcurrent relay (OCR), which is responsible for protecting power systems from impending faults. However, the operation time of OCRs is relatively long and accurate coordination between these relays is convoluted. Moreover, when a fault occurs in wind farm-based power system, several OCRs operate instead of a designated relay to that particular fault location, which could result in unnecessary power loss and disconnection of healthy feeders out of the plant. Therefore, this article proposes a novel genetic algorithm (GA)-based optimization technique for proper coordination of the OCRs in order to provide improved protection of the wind farms. The GA optimization technique has several advantages over other intelligent algorithms, such as high accuracy, fast response, and most importantly, it is capable of achieving optimal solutions considering nonlinear characteristics of OCRs. In this article, the improvement in protection of wind farm is achieved through optimizing the relay settings, reducing their operation time, time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. The developed algorithm is tested in simulation for a wind farm model under various fault conditions at random buses and the results are compared with the conventional nonlinear optimization method. It is found that the new approach achieves significant improvement in the operation of OCRs for the wind farm and drastically reduces the accumulative operation time of the relays. � 1972-2012 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8823020
dc.identifier.doi10.1109/TIA.2019.2939244
dc.identifier.epage5736
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85075485378
dc.identifier.spage5727
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075485378&doi=10.1109%2fTIA.2019.2939244&partnerID=40&md5=50016d3d4917f7b62da08fcaf46d0127
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24331
dc.identifier.volume55
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleIEEE Transactions on Industry Applications
dc.titleGenetic Algorithm-Based Optimization of Overcurrent Relay Coordination for Improved Protection of DFIG Operated Wind Farmsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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