Symbiotic organisms search algorithm‐based optimal control strategy for efficient operation of variable‐speed wind generators. Issue 14 (25th September 2019)

• Record Type: Journal Article
• Authors: Soliman, Mahmoud A.; Hasanien, Hany M.; Alghuwainem, Saad; Al‐Durra, Ahmed
• Is Part Of: IET renewable power generation. Volume 13:Issue 14(2019)
• Page Start: 2684
• Page End: 2692
• Publication Date: 2019-09-25
• Subjects: optimal control -- wind power plants -- transient response -- wind turbines -- permanent magnet generators -- synchronous generators -- power generation control -- turbogenerators -- PI control -- optimisation; cascaded proportional‐integral control strategy -- symbiotic organisms search algorithm‐based optimal control strategy -- GWOA‐based PI control scheme -- grey wolf optimiser algorithm‐based PI control scheme -- SOSA‐based optimal PI control strategy -- simulation‐based optimisation method -- grid‐connected WTGS -- wind energy conversion systems -- nonlinear systems -- multiple PI controllers -- permanent‐magnet synchronous generator‐based WTGS -- grid‐tied wind turbine generator systems -- variable‐speed wind generators; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2019.0834
• Languages: English
• ISSNs: 1752-1416

Abstract

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.