DocumentCode :
3211616
Title :
PSO tuned combined optimal fuzzy controller for AGC of two area interconnected power system
Author :
Sinha, S.K. ; Prasad, R. ; Patel, R.N.
Author_Institution :
Dept. of Electr. Eng., I.I.T. Roorkee, Roorkee, India
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
537
Lastpage :
542
Abstract :
In this work automatic generation control (AGC) of two-area interconnected power system has been studied using particle swarm optimization (PSO) tuned combined optimal fuzzy controller. As a consequence of continual load variation, the frequency and tie-line power deviate over time and these transients are to be minimized using different controllers. A combined optimal fuzzy controller has been designed and proposed to ascertain zero steady state frequency deviation and tie-line power flow deviation under all operating conditions. The proposed controller has been obtained by feeding the output of the optimal controller to a fuzzy controller. PSO has been used to optimize the parameters of the fuzzy controller. The performance of the proposed controller has been compared with that of the combined optimal fuzzy controller. The simulation results indicate that better control performance in terms of overshoot and settling time can be obtained by the PSO tuned combined optimal fuzzy controller.
Keywords :
fuzzy control; optimal control; particle swarm optimisation; power system control; power system interconnection; automatic generation control; interconnected power system; optimal fuzzy controller; particle swarm optimization; tie-line power flow deviation; zero steady state frequency deviation; Automatic control; Automatic generation control; Control systems; Frequency; Fuzzy control; Fuzzy systems; Optimal control; Power system control; Power system interconnection; Power system transients; Automatic generation control; Frequency deviation; Fuzzy controller; Optimal controller; Particle swarm optimization; Tie line power deviation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393392
Filename :
5393392
Link To Document :
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