Controller parameters design of doubly feed induction generator using Particle Swarm Optimization

Hasan Fayazi Boroujeni; Meysam Eghtedari; Ahmad Memaripour and Elahe Behzadipour

doi:10.17485/ijst/2011/v4i12.13

Article

VIEWS 681
PDF 336

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2011/v4i12.13

Year: 2011, Volume: 4, Issue: 12, Pages: 1635-1639

Original Article

Controller parameters design of doubly feed induction generator using Particle Swarm Optimization

Hasan Fayazi Boroujeni^* , Meysam Eghtedari, Ahmad Memaripour and Elahe Behzadipour

Department of Electrical Engineering, Boroujen Branch, Islamic Azad University, Boroujen, Iran
[email protected] * ; [email protected] ; [email protected] ; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

The integration of wind farms into the electricity grid has become an important challenge for the utilization and control of electric power systems, because of the fluctuating and intermittent behavior of wind power generation. Doubly fed induction generators (DFIG) are commonly used wind turbine generators (WTG) in electricity networks. In DFIG there are three control loops which should be implemented in order to appropriate performance of WTG. These control loops are pitch angle control, rotor speed control and voltage control. In this paper a unified scheme is used to adjust these controllers in the same time. Particle Swarm Optimization (PSO) is used to adjustment the proposed controllers. The results of wind power on the system performance are compared with a conventional thermal power plant.
Keywords: Wind Turbine Generators; Doubly Fed Induction Generators; Pitch Angle Control; Multi Machine Electric Power System; Particle Swarm Optimization.