DocumentCode :
3323800
Title :
Adaptive critic designs for optimal control of power systems
Author :
Venayagamoorthy, G.K. ; Harley, R.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Rolla, MO
fYear :
2005
fDate :
6-10 Nov. 2005
Abstract :
The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances
Keywords :
adaptive control; flexible AC transmission systems; load flow control; neurocontrollers; optimal control; power system control; voltage control; adaptive critic design; adaptive neurocontrol; approximate dynamic programming; excitation control; flexible AC transmission system; load flow control; neural network; optimal control; optimal neurocontrol; power system control; reinforcement learning; turbine control; voltage control; Adaptive control; Flexible AC transmission systems; Optimal control; PSCAD; Power grids; Power system control; Power system modeling; Power system simulation; Power systems; Programmable control;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ISAP.2005.1599253
Filename :
1599253
Link To Document :
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