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

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...

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Bibliographic Details
Published in:Research Journal of Applied Sciences, Engineering and Technology Engineering and Technology, 2018-01, Vol.15 (1), p.24-30
Main Author: Atawi, Ibrahem E.
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:2040-7467
2040-7459
2040-7467
DOI:10.19026/rjaset.15.5288