Design and development of maximum power point tracking in wind power optimization using fuzzy PLL controller

T. Govindaraj, S. Ravi, P. A. Balakrishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes an improved maximum power point tracking (MPPT) method for Wind system using a fuzzy with PLL algorithm. The main advantage of the method is the reduction of the steady state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for extreme environmental condition, e.g. large fluctuations of isolation and partial shading condition. The algorithm is simple and can be computed very rapidly. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging conditions, namely step changes in irradiance, step changes in load and partial shading of wind array. The proposed method in simulation shows it is efficient than the conventional controllers in terms of achieving maximum wind power generation effectively with steady state output compared to other conventional controllers.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013
Pages384-389
Number of pages6
DOIs
Publication statusPublished - Aug 8 2013
Event2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 - Tirunelveli, India
Duration: Mar 25 2013Mar 26 2013

Other

Other2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013
CountryIndia
CityTirunelveli
Period3/25/133/26/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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    Govindaraj, T., Ravi, S., & Balakrishnan, P. A. (2013). Design and development of maximum power point tracking in wind power optimization using fuzzy PLL controller. In 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, ICE-CCN 2013 (pp. 384-389). [6528528] https://doi.org/10.1109/ICE-CCN.2013.6528528