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All Journal International Journal of Applied Power Engineering (IJAPE)
Mina N. Amin
Ain Shams University
Electrical & Electronics Engineering

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Hybrid PSO-GSA algorithm-based optimal control strategy for performance enhancement of a grid-connected wind generator Mina N. Amin; Mahmoud A. Soliman; Hany M. Hasanien; Almoataz Y. Abdelaziz
International Journal of Applied Power Engineering (IJAPE) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1113.06 KB) | DOI: 10.11591/ijape.v10.i2.pp151-158

Abstract

Due to the great level of wind energy penetration in the existing network, huge efforts have been directed to enhance the grid-connected wind generator performance. This paper shows an application of a hybrid algorithm of the particle swarm optimization and the gravitational search algorithm (PSO-GSA) to enhance the transient stability of the grid-tied wind energy conversion system. The variable-speed wind turbine (VSWT) direct-drive permanent-magnet synchronous generator is connected to the network through a full-scale converter. The generator- and grid-side converters are controlled by utilizing an optimum proportional-integral (PI) controller. The criterion of the integral squared error is utilized as an objective function. The PSO-GSA based-PI controller efficacy is validated by comparing its results with that are obtained by utilizing the genetic algorithm (GA)-based-PI controller. The performance of the suggested control scheme is checked during various fault conditions. The control scheme quality is legalized by the simulation results that are obtained using MATLAB/Simulink program
Co-Authors Almoataz Y. Abdelaziz Hany M. Hasanien Mahmoud A. Soliman