A MPPT strategy based on cuckoo search for wind energy conversion system

  • Authors

    • C Centhil Kumar ProfessorDepartment of Mechanical SREYAS Institute of Engineering and Technology
    • I Jacob Raglend
    2018-09-17
    https://doi.org/10.14419/ijet.v7i4.17366
  • Wind Turbine, Doubly Fed Induction Generator, Fuzzy Logic Controller, MPPT, Cuckoo Search Algorithm.

  • Abstract

    The WECS based Doubly Fed Induction Generator (DFIG) system is presented in this paper which includes different MPPT control strategies for a grid connected system. The GSC gives the flow of power from the rotor part of DFIG up to the grid and the modulation of DC voltage. Here the cuckoo search algorithm based on MPPT is designed, to obtain a higher power from the changing speed wind turbine. The algorithms such as Perturb and Observe (P&O), Proportional Integral (PI) control and Fuzzy Logic Controller (FLC) are compared and their performances are evaluated. To design and develop the cuckoo search optimization based on MPPT for WECS, and to obtain optimum voltage regulation and power, thus improving the working performance, reducing the domain time and minimizing the performance indices. To simulate the different MPPT control methods, MATLAB/Simulink environment is used here.

     

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  • How to Cite

    Centhil Kumar, C., & Jacob Raglend, I. (2018). A MPPT strategy based on cuckoo search for wind energy conversion system. International Journal of Engineering & Technology, 7(4), 2298-2303. https://doi.org/10.14419/ijet.v7i4.17366

    Received date: 2018-08-11

    Accepted date: 2018-08-17

    Published date: 2018-09-17