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ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 10 (October 2019), Pages: 73-82

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 Original Research Paper

 Title: New maximum power point tracking for wind turbines

 Author(s): Alnufaie Lafi *

 Affiliation(s):

 Department of Electrical Engineering, College of Engineering, Shaqra University, Shaqraa, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0003-2453-2637

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.10.012

 Abstract:

In this paper, we deal with the maximum power point tracking problem for wind generator in a standalone installation. The aim is to develop a new algorithm to get the value of optimal power. So, we intend to use fuzzy logic to exploit its robustness in presence on not certainties and its simplicity of design. In order to improve human expertise, we aim to use two evolutionary algorithms as Particle Swarm Optimization and Genetic Algorithms. Lots of simulation results are introduced to show the obtained improvement. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Maximum power point tracking, Fuzzy controller, Wind speed,Wind energy 

 Article History: Received 25 April 2019, Received in revised form 6 August 2019, Accepted 7 August 2019

 Acknowledgement:

No Acknowledgement.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Lafi A (2019). New maximum power point tracking for wind turbines. International Journal of Advanced and Applied Sciences, 6(10): 73-82

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 Table 8 Table 9 Table 10 

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