DocumentCode :
1614648
Title :
Optimal tuning of multi-machine Power System Stabilizer parameters using Genetic-Algorithm
Author :
Abedinia, O. ; Naderi, Mohammad S. ; Jalili, A. ; Khamenehpour, B.
Author_Institution :
Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
Optimal tuning of Power System Stabilizers (PSSs) parameters using genetic algorithm is presented in this paper. Selecting the parameters of power system stabilizers which simultaneously stabilize system oscillations is converted to a simple optimization problem which is solved by a genetic algorithm. The advantage of Genetic Algorithm (GA) technique for tuning the PSS parameters is that it is independent of the complexity of the performance index considered. The efficiency of the proposed method has been tested on two cases of multi-machine systems include 3-machine 9 buses system and 10-machine 39 buses New England system. The proposed method of tuning the PSS is an attractive alternative to conventional fixed gain stabilizer design as it retains the simplicity of the conventional PSS and at the same time guarantees a robust acceptable performance over a wide range of operating and system condition.
Keywords :
genetic algorithms; power system stability; tuning; genetic algorithm; multimachine power system stabilizer parameter; optimal tuning; Clamps; Genetics; Load modeling; Optimization; Genetic Algorithm; Multi-machine system; PSS design; Power system dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
Type :
conf
DOI :
10.1109/POWERCON.2010.5666603
Filename :
5666603
Link To Document :
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