Title :
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
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;
Conference_Titel :
Power Electronics, Machines and Drives, 2004. (PEMD 2004). Second International Conference on (Conf. Publ. No. 498)
Conference_Location :
Edinburgh, UK
Print_ISBN :
0-86341-383-8
DOI :
10.1049/cp:20040355
