Publication:
An SSM-PSO Based MPPT Scheme for Wind Driven DFIG System

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dc.citedby2
dc.contributor.authorSai B.S.V.en_US
dc.contributor.authorChatterjee D.en_US
dc.contributor.authorMekhilef S.en_US
dc.contributor.authorWahyudie A.en_US
dc.contributor.authorid57219283626en_US
dc.contributor.authorid15623160900en_US
dc.contributor.authorid57928298500en_US
dc.contributor.authorid35306119500en_US
dc.date.accessioned2023-05-29T09:40:07Z
dc.date.available2023-05-29T09:40:07Z
dc.date.issued2022
dc.descriptionAsynchronous generators; Electric fault currents; Energy conversion; Maximum power point trackers; Particle swarm optimization (PSO); Wind power; Wind speed; Doubly fed induction generators; Doubly feed induction generator and maximum power point tracking; Maximum Power Point Tracking; Optimization scheme; Particle swarm; Perturb and observe; Searching spaces; Space minimization; Swarm optimization; Tracking scheme; Wind turbinesen_US
dc.description.abstractIn this work, a searching space minimization-based particle swarm optimization (SSM-PSO) scheme has been proposed for maximum power point tracking (MPPT) in a doubly fed induction generator (DFIG) based wind energy conversion system (WECS). DFIG displays non-linearity in P-? characteristics. So different types of conventional and optimization-based schemes are developed for MPPT. The drawbacks in the conventional perturb and observe (P&O) scheme has been successfully abolished by the proposed SSM-PSO method. Because of its weather-insensitive nature, the conventional P&O MPP tracking scheme results in the fluctuation of DFIG output under a sudden change in wind speed. To avoid this problem, maximum and minimum limits for the optimal rotor speed have been determined in the proposed SSM-PSO scheme. Further, the obtained limits for rotor speed are employed to improve the searching space within the non-linear P-? curve. This initial confinement of particles to a limited searching space in SSM-PSO results in a faster response of the system. Since the proposed SSM-PSO is atmosphere sensitive, it avoids fluctuations under an abrupt variation in wind velocity. The improved initialization part of SSM-PSO leads to better dynamic characteristics compared to existing P&O and optimization-based schemes. The proposed SSM-PSO scheme is implemented for a 2MW DFIG system in MATLAB Simulink atmosphere and showed satisfactory results. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2022.3193998
dc.identifier.epage78319
dc.identifier.scopus2-s2.0-85135584906
dc.identifier.spage78306
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85135584906&doi=10.1109%2fACCESS.2022.3193998&partnerID=40&md5=f5949cc1d69a61092c4e0bc26fe3bceb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27141
dc.identifier.volume10
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleAn SSM-PSO Based MPPT Scheme for Wind Driven DFIG Systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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