We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Symbiotic organisms search algorithm‐based optimal control strategy for efficient operation of variable‐speed wind generators.
- Authors
Soliman, Mahmoud A.; Hasanien, Hany M.; Alghuwainem, Saad; Al‐Durra, Ahmed
- 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.
- Publication
IET Renewable Power Generation (Wiley-Blackwell), 2019, Vol 13, Issue 13, p2684
- ISSN
1752-1416
- Publication type
Article
- DOI
10.1049/iet-rpg.2019.0834