DocumentCode
648121
Title
GA and ANFIS based power system stabilizer
Author
Gandhi, P.R. ; Joshi, S.K.
Author_Institution
Electr. Eng. Dept., Sardar Vallabhbhai Patel Inst. of Technol., Vasad, India
fYear
2013
fDate
21-25 July 2013
Firstpage
1
Lastpage
5
Abstract
This paper discusses the design of genetics algorithm based proportional integral derivative-power system stabilizer and Adaptive Neuro Fuzzy Inference System based power system stabilizer for the stability analysis of the single machine infinite bus system. The controller has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator. The signal generated has been used to damp the low frequency oscillations and improves the performance of power system dynamics. The non- linear simulations of the system has been carried out, which results show the efficacy and capability of two schemes for the design of PSS under the various disturbances and faults conditions.
Keywords
fuzzy systems; genetic algorithms; machine windings; power system dynamic stability; power system transient stability; synchronous generators; three-term control; ANFIS; adaptive neuro fuzzy inference system; genetics algorithm; low frequency oscillations; power system dynamics; power system stabilizer; proportional integral derivative; single machine infinite bus system; stability analysis; supplementary control signal; synchronous generator; Genetic algorithms; Oscillators; Power system dynamics; Power system stability; Power transmission lines; Rotors; Stability analysis; Adaptive Neuro Fuzzy Inference System; Eigen values; genetics algorithm; power system stabilizer; synchronous machine dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location
Vancouver, BC
ISSN
1944-9925
Type
conf
DOI
10.1109/PESMG.2013.6672689
Filename
6672689
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