Title :
Adaptive critic design based neurocontroller for a STATCOM connected to a power system
Author :
Mohagheghi, Salman ; Park, Jung-Wook ; Harley, Ronald G. ; Venayagamoorthy, Ganesh K.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
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.
Keywords :
dynamic programming; learning (artificial intelligence); neurocontrollers; nonlinear control systems; optimal control; power engineering computing; power system control; static VAr compensators; STATCOM; adaptive critic design based neurocontroller; artificial neural networks; heuristic dynamic programming; neurocontroller training; nonlinear optimal control; nonlinear optimal neurocontroller; power system; single machine infinite bus system; static compensator; Automatic voltage control; Control systems; Neurocontrollers; Optimal control; PSCAD; Power system dynamics; Power system modeling; Power system simulation; Power systems; Voltage control;
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
DOI :
10.1109/IAS.2003.1257606
