Adaptive Critic Design Based Neurocontroller for a STATCOM Connected to a Power System

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

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A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system using artificial neural networks is presented in this paper. The heuristic dynamic programming (HDP), a member of the adaptive critic designs (ACDs) family, is used for the design of the STATCOM neurocontroller. This neurocontroller provides nonlinear optimal control with better performance compared to the conventional PI controllers.