DocumentCode :
2279316
Title :
Genetic algorithm based simultaneous coordination of PSS and FACTS controllers for power oscillations damping
Author :
Narne, Rajendraprasad ; Panda, P.C. ; Therattil, Jose P.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Rourkela, India
fYear :
2012
fDate :
24-27 Sept. 2012
Firstpage :
85
Lastpage :
90
Abstract :
This paper proposes a new design for the coordination control of power system stabilizer (PSS) and flexible ac transmission systems (FACTS) devices to enhance the damping of power oscillations. The controller gains of a linearized power system are optimized instantaneously using genetic algorithm (GA) to achieve an objective function, which maximizes the function, so that the total damping ratios of the system are optimized. Here the power system employed with PSS and a SVC as well as TCSC based controllers. Finally, the proposed coordinated controller performance is tested with both eigen value analysis and time domain simulations. Four different control schemes for power oscillations damping of test power system are employed and the results are compared.
Keywords :
damping; eigenvalues and eigenfunctions; flexible AC transmission systems; genetic algorithms; oscillations; power system stability; power transmission control; time-domain analysis; FACTS controller; GA; PSS; SVC; TCSC based controller; eigenvalue analysis; flexible AC transmission system; genetic algorithm; power oscillation damping; power system stabilizer; power system testing; time domain simulation; Damping; Genetic algorithms; Mathematical model; Power capacitors; Power system stability; Static VAr compensators; Thyristors; Coordination; FACTS Controllers; Genetic algorithm; Power system stabilizer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Energy Technologies (ICSET), 2012 IEEE Third International Conference on
Conference_Location :
Kathmandu
ISSN :
2165-4387
Print_ISBN :
978-1-4577-1870-0
Electronic_ISBN :
2165-4387
Type :
conf
DOI :
10.1109/ICSET.2012.6357380
Filename :
6357380
Link To Document :
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