Intelligent control schemes for a static compensator connected to a power network

Author

Mohagheghi, Salman ; Harley, Ronald G. ; Venayagamoothy, G.K.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

2

fYear

2004

Firstpage

594

Abstract

Two intelligent controllers are designed for a static compensator (STATCOM) connected to a single machine infinite bus power system (SMIB): a novel nonlinear adaptive controller using artificial neural networks based on the indirect adaptive control technique and a Takagi-Sugeno type fuzzy controller. Both schemes provide nonlinear adaptive control with better performance compared to the conventional PI controllers. Simulation results are presented to compare the performances of these controllers with that of the conventional PI controllers.

Keywords

PI control; adaptive control; fuzzy control; fuzzy neural nets; intelligent control; neurocontrollers; nonlinear control systems; power system control; static VAr compensators; PI controllers; STATCOM; Takagi-Sugeno fuzzy controller; artificial neural networks; intelligent controllers; neurocontrol; nonlinear adaptive controller; power network; single machine infinite bus power system; static compensator;

fLanguage

English

Publisher

iet

Conference_Titel

Power Electronics, Machines and Drives, 2004. (PEMD 2004). Second International Conference on (Conf. Publ. No. 498)

Conference_Location

Edinburgh, UK

ISSN

0537-9989

Print_ISBN

0-86341-383-8

Type

conf

DOI

10.1049/cp:20040355

Filename

1350090