DocumentCode :
404747
Title :
A new reinforcement learning based automatic generation controller for hydro-thermal power systems
Author :
Ahamed, T. P Imthias ; Sastry, P.S. ; Rao, P. S Nagendra
Author_Institution :
Dept. Electr. Eng., Indian Inst. of Sci., Bangalore, India
Volume :
1
fYear :
2003
fDate :
15-17 Oct. 2003
Firstpage :
63
Abstract :
Recently, we proposed a reinforcement learning (RL) based approach for designing an automatic generation controller for a two-area power system (Ahamed, T.P.I. et al., Electric Power Systems Research, vol.63, p.9-26, 2002), where we demonstrated the efficacy of the approach on an identical, simple, two-area model. This paper aims to demonstrate an alternative RL-AGC design which is simpler. Its effectiveness is demonstrated by considering a hydro-thermal system whose dynamics are more complicated than the system considered previously.
Keywords :
hydrothermal power systems; learning (artificial intelligence); power generation control; automatic generation controller; hydro-thermal power systems; interconnected power system; reinforcement learning; two-area power system; Automatic generation control; Control systems; Frequency; Learning; Power generation; Power system control; Power system dynamics; Power system interconnection; Power system modeling; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
Type :
conf
DOI :
10.1109/TENCON.2003.1273223
Filename :
1273223
Link To Document :
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