Symbiotic organisms search algorithm-based optimal control strategy for efficient operation of variable-speed wind generators

Mahmoud A. Soliman, Hany M. Hasanien, Saad Alghuwainem, Ahmed Al-Durra

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The penetration rate of grid-tied wind turbine generator systems (WTGSs) into the existing electricity networks is rapidly increasing worldwide. Huge efforts are exerted for improving the characteristics of variable-speed wind energy conversion systems. This study exhibits a novel symbiotic organisms search algorithm (SOSA)-based optimal control strategy for achieving efficient operation of a grid-connected WTGS. The optimal control strategy relies on proportional-integral (PI) controllers, which are properly fine-tuned using the SOSA. The simulation-based optimisation method is considered in the optimisation process, where the integration of the square error criterion is selected as a fitness function. To obtain realistic performances, practical wind speed data extracted from the Zaafarana power plant in Egypt are used in the analyses. The efficacy of the SOSA-based optimal PI control strategy is compared with that realized using the grey wolf optimiser algorithm (GWOA)-based PI control scheme, considering network disturbances. The feasibility of the proposed control strategy is validated using the simulation studies, which are implemented using MATLAB/Simulink software. Notably, the proposed SOSA-based optimal control strategy is considered to be a precise means of improving the behaviour of grid-tied WTGSs.

Original languageBritish English
Pages (from-to)2684-2692
Number of pages9
JournalIET Renewable Power Generation
Volume13
Issue number14
DOIs
StatePublished - 2019

Fingerprint

Dive into the research topics of 'Symbiotic organisms search algorithm-based optimal control strategy for efficient operation of variable-speed wind generators'. Together they form a unique fingerprint.

Cite this