Intelligent Control Schemes for a Static Compensator Connected to a Power Network

Salman Mohagheghi
Ganesh K. Venayagamoorthy, Missouri University of Science and Technology
Ronald G. Harley

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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.