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
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