Title :
Optimal dynamic neurocontrol of a gate-controlled series capacitor in a multi-machine power system
Author :
Ray, Swakshar ; Venayagamoorthy, Ganesh K. ; Watanabe, Edson H. ; De Jesus, Fabio D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO
Abstract :
This paper presents the design of an optimal dynamic neurocontroller for a new type of FACTS device - the gate controlled series capacitor (GCSC) incorporated in a multi-machine power system. The optimal neurocontroller is developed based on the heuristic dynamic programming (HDP) approach. In addition, a dynamic identifier/model and controller structure using the recurrent neural network trained with backpropagation through time (BPTT) is employed. Simulation results are presented to show the effectiveness of the dynamic neurocontroller and its performance is compared with that of the conventional PI controller under small and large disturbances
Keywords :
backpropagation; flexible AC transmission systems; neurocontrollers; optimal control; power capacitors; power system control; recurrent neural nets; FACTS device; backpropagation through time; dynamic neurocontroller; gate controlled series capacitor; heuristic dynamic programming; multimachine power system; optimal dynamic neurocontrol; recurrent neural network; Capacitors; Control systems; Dynamic programming; Neurocontrollers; Optimal control; Power system dynamics; Power system modeling; Power system simulation; Power systems; Recurrent neural networks;
Conference_Titel :
Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
1-59975-174-7
DOI :
10.1109/ISAP.2005.1599267
