Artificial neural networks controller for power system voltage improvement

Author

Messalti, Sabir ; Boudjellal, Bilal ; Said, Azouz

Author_Institution

Electr. Eng. Dept., Univ. of M´sila, M´sila, France

fYear

2015

fDate

24-26 March 2015

Firstpage

1

Lastpage

6

Abstract

In this paper, power system voltage improvement using wind turbine is presented. Two controllers are used: a PI controller and Artificial Neural Networks (ANN) controller are investigated. The power flow exchanged between the wind turbine and the power system has been controlled in order to improve the bus voltage based on reactive power injection (or absorption) produced by variable speed wind turbine. The wind turbine is based on a doubly fed induction generator (DFIG) controlled by field-oriented control. Indirect control is used to control of the reactive power flow exchanged between the DFIG and the power system. The proposed controllers are tested on power system for large voltage disturbances.

Keywords

PI control; load flow control; machine vector control; neurocontrollers; voltage control; wind turbines; ANN controller; DFIG; PI controller; artificial neural networks controller; bus voltage; doubly fed induction generator; field-oriented control; power system; power system voltage improvement; reactive power injection; variable speed wind turbine; voltage disturbances; Artificial neural networks; Reactive power; Rotors; Stator windings; Voltage control; Wind turbines; Artificial Neural Networks controller; Field-oriented control(FOC); PI controller; double fed induction generator (DFIG); power system voltage improvement;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable Energy Congress (IREC), 2015 6th International

Conference_Location

Sousse

Type

conf

DOI

10.1109/IREC.2015.7110897

Filename

7110897