Dynamic Modeling and Optimal Control of a Wind Turbine with Doubly Fed Induction Generator Using Imperialist Competitive and Artificial Bee Colony Algorithms

摘要

This paper addresses modeling, stability analysis and control of the doubly fed induction generator (DFIG) for wind turbines (WTs). In the present work, imperialist competitive and artificial bee colony algorithms are used for optimizing parameters of controllers of a WT with DFIG. Algorithms for optimizing the controllers' parameters are described. Based on this, an eigenvalue-based objective function is utilized to optimize the parameters. To evaluate the optimized gains, simulations are performed on a single machine-infinite bus system, and the dynamic responses of system with parameters obtained from two optimization techniques are compared.