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  Published Paper Details:

  Paper Title

MAXIMUM POWER POINT TRACKING OF WIND TURBINE CONNECTED TO DC GENERATOR USING FUZZY LOGIC CONTROLLER

  Authors

  Perumallapalli Krishna

  Keywords

MPPT, power conversion coefficient, tip-speed ratio (TSR), fuzzy logic controller

  Abstract


This paper presents the fuzzy logic control based maximum power point tracking of wind turbine by operating the wind turbine at optimum speed. The optimum speed can be obtained from the power conversion coefficient versus tip speed ratio characteristics. There are many control algorithms available speed based control, torque based control, fuzzy logic control and neuro fuzzy control. Apart from the induction generator and permanent magnet synchronous generator one can also use DC generator. In this field control method is applied to control the speed of the DC generator and intern wind turbine. The maximization problem has been solved by genetic algorithm. This forms the input for the maximum power point tracking(MPPT) algorithm and at different wind velocities the turbine need to be rotated at optimum speed for extracting maximum power from the wind turbine.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2103422

  Paper ID - 204702

  Page Number(s) - 3488-3492

  Pubished in - Volume 9 | Issue 3 | March 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Perumallapalli Krishna,   "MAXIMUM POWER POINT TRACKING OF WIND TURBINE CONNECTED TO DC GENERATOR USING FUZZY LOGIC CONTROLLER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 3, pp.3488-3492, March 2021, Available at :http://www.ijcrt.org/papers/IJCRT2103422.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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