Research Specifications

Home \Dynamic Modeling and Optimal ...
Title
Dynamic Modeling and Optimal Control of a Wind Turbine with Doubly Fed Induction Generator using imperialist competitive and artificial bee colony algorithms
Type of Research Article
Keywords
Doubly fed induction generator (DFIG); Small signal stability; Wind power generation; Eigenvalue analysis; Participation factor
Abstract
This paper addresses modeling, stability analysis and control of the doubly-fed induction generator for wind turbines. In the present work, imperialist competitive and artificial bee colony algorithms are used for optimizing parameters of controllers of a wind turbine with doubly fed induction generator. Algorithms of optimizing of 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.
Researchers Javad Salehi (First Researcher)، Arman Amini (Second Researcher)