Designing an optimized coupled controller for a wind energy conversion system

Author

Mohammadi, Ali ; Farajianpour, Sajjad ; Barakati, S. Masoud ; Tavakoli, Saeed

Author_Institution

Fac. of Electr. & Comput. Eng., Univ. of Sistan & Baluchestan, Zahedan, Iran

fYear

2012

fDate

6-8 March 2012

Firstpage

12

Lastpage

17

Abstract

This paper presents modelling of a wind energy conversion systems (WECS) driven by an induction generator (IG) based on full-rated converter (FRC) at fundamental frequency. Each component initially is represented independently and then considered in a coupled description to obtain the overall WECS model. Simple coupled proportional-integral-derivative (PID) controller is competitively preferred than other complex-implementing control policies, which is augmented through an evolutionary algorithm (EA) termed as genetic algorithm (GA). Simulation results show the ability of the proposed strategy.

Keywords

asynchronous generators; genetic algorithms; power convertors; power generation control; three-term control; wind power plants; EA; FRC; GA; IG; PID controller; WECS model; coupled proportional-integral-derivative controller; evolutionary algorithm; full-rated converter; fundamental frequency; genetic algorithm; induction generator; optimized coupled controller; wind energy conversion system; Aerodynamics; Blades; Equations; Generators; Mathematical model; Torque; Wind speed; FRC; WECS; coupled PID controller; dynamic modelling; evolutionaty optimization algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energy and Distributed Generation (ICREDG), 2012 Second Iranian Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4673-0663-8

Electronic_ISBN

978-1-4673-0664-5

Type

conf

DOI

10.1109/ICREDG.2012.6190448

Filename

6190448