Optimum Identification of Induction Generator Parameters in Wind Energy System based on Particle Swarm Optimization

Abstract— Electric power generation using non-traditional sources of energy such as wind energy became one of the techniques that
attracted much attention worldwide. The induction generator is used in the exploitation of this energy and converts it into electrical energy
because of the advantages that distinguish it from other types of generators. In this paper, an optimal identification of induction generator
parameters is proposed. Particle Swarm Optimization technique (PSO) is used to identify the main parameters of the induction generator in
cases of wind speed change, load change and fault cases. The simulation results obtained indicate that the particle swarm optimization is
suitable for controlling and optimization the voltage, frequency and generated power. The simulation programming is implemented using
MATLAB.
Index Terms— Wind Energy (WE), Induction Generator (IG), Doubly Fed Induction Generator (DFIG), Particle Swarm Optimization (PSO).

DOI link:https://www.ijser.org/onlineResearchPaperViewer.aspx?Optimum-Identification-of-Induction-Generator-Parameters-in-Wind-Energy.pdf