DocumentCode :
3220367
Title :
A comparative study of single input and dual input power system stabilizer by hybrid evolutionary programming
Author :
Chatterjee, A. ; Ghoshal, S.P. ; Mukherjee, V.
Author_Institution :
Electr. Eng. Dept., Asansol Eng. Coll., Asansol, India
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
1047
Lastpage :
1052
Abstract :
In this paper, a comparative transient performance of single-input conventional power system stabilizer (CPSS) and dual-input power system stabilizer (PSS), namely PSS4B is analyzed. The optimal parameters of both the CPSS and PSS4B are obtained with the help of hybrid evolutionary programming (HEP) technique. Step 1% perturbation in reference voltage and/or mechanical power input is applied to obtain the simulation results. It is revealed that the system transient performance of PSS4B equipped system model is better than CPSS equipped counter part for all on-line and off-line conditions, step changes in reference voltage and/or mechanical power input, during/after clearing of system faults. For on-line, off-nominal operating conditions, Sugeno fuzzy logic (SFL) is adopted to explore its adaptive and fast yielding features.
Keywords :
fuzzy logic; genetic algorithms; power system faults; power system stability; PSS4B; Sugeno fuzzy logic; genetic algorithm; hybrid evolutionary programming; mechanical power input; off-line condition; on-line condition; power system stabilizer; reference voltage; system faults; system transient performance; Counting circuits; Genetic programming; Hybrid power systems; Performance analysis; Power system analysis computing; Power system modeling; Power system simulation; Power system transients; Transient analysis; Voltage; Conventional power system stabilizer; Sugeno fuzzy logic; dual input power system stabilizer; genetic algorithm; hybrid evolutionary programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393862
Filename :
5393862
Link To Document :
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