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     Research Journal of Applied Sciences, Engineering and Technology


Performance Enhancement of an Autonomous Wind Energy Conversion System Based on Artificial Cuckoo Search Algorithm

Ibrahem E. Atawi
Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 71491, Saudi Arabia
Research Journal of Applied Sciences, Engineering and Technology  2018  1:24-30
http://dx.doi.org/10.19026/rjaset.15.5288  |  © The Author(s) 2018
Received: July 25, 2017  |  Accepted: September 9, 2017  |  Published: January 15, 2018

Abstract

This study proposed to investigate the application of the Artificial Cuckoo Search (ACS) optimization method on wind energy conversion system control. The problem of regulating standalone wind energy generation unit under severe exogenous conditions of wind speed variation and load demand change is considered. First a generic mathematical model for the proposed generation system is presented. An optimal PID control based on Artificial Cuckoo Search (ACS) algorithm is applied on the system to stabilize the load voltage and the frequency even under turbulence wind condition and diverse load variations. The performance of the wind generation system with the proposed optimal PID control is compared with the case of no control. The simulation results prove that the proposed control technique is feasible for the self-excited induction generator application in remote windy area.

Keywords:

Artificial cuckoo search, energy storage system, optimal PID control, SEIG, wind turbine,


References

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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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