DocumentCode :
3035869
Title :
Hydrothermal power system AGC with GA optimized controllers and Capacitive Energy Storage
Author :
Bharadwaj, Chavali Krishna ; Abraham, Rajesh Joseph
Author_Institution :
Dept. of Electr. Eng., Malaviya Nat. Inst. of Technol., Jaipur, India
fYear :
2011
fDate :
23-24 March 2011
Firstpage :
105
Lastpage :
110
Abstract :
In this work, the Automatic Generation Control of an interconnected hydrothermal power system with a small capacity Capacitive Energy Storage augmented to both thermal and hydro area has been investigated. The effect of an integral controller as well as a PID controller whose gains are tuned by Genetic Algorithm technique has been examined and compared. The optimum values of the integral and PID controller gains without and with capacitive energy storage (CES) for both the areas are obtained by minimizing Integral Time Squared Error (ITSE) criterion. Simulation studies and a comparison of the dynamic responses reveal the improvement of AGC in terms of peak amplitudes and deviations in frequencies of both the areas, as well as tie line power with the PID controller and augmentation of Capacitive Energy Storage unit.
Keywords :
automatic gain control; energy storage; genetic algorithms; hydroelectric power stations; power system interconnection; thermal power stations; three-term control; AGC; GA optimized controllers; ITSE; PID controller; automatic generation control; capacitive energy storage; genetic algorithm technique; integral controller; integral time squared error; interconnected hydrothermal power system; Automatic generation control; Capacitors; Energy storage; Genetic algorithms; Power system dynamics; Thermal loading; Automatic Generation Control; Capacitive Energy Storage; Genetic Algorithm; PID;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Electrical and Computer Technology (ICETECT), 2011 International Conference on
Conference_Location :
Tamil Nadu
Print_ISBN :
978-1-4244-7923-8
Type :
conf
DOI :
10.1109/ICETECT.2011.5760100
Filename :
5760100
Link To Document :
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