A Hybrid Genetic Algorithm based Power System Stabilizer

Author

Sumathi, N. ; Selvan, M.P. ; Kumaresan, Natarajan

Author_Institution

Nat. Inst. of Technol., Tiruchirappalli

fYear

2007

fDate

25-28 Nov. 2007

Firstpage

876

Lastpage

881

Abstract

This paper presents a novel hybrid power system stabilizer (HyPSS), which is a parallel combination of conventional delta-omega power system stabilizer (CPSS) and fuzzy logic power system stabilizer (FLPSS). HyPSS is aimed at improving both transient and dynamic stability of the system. CPSS parameters and normalization and de-normalization factors of FLPSS are optimized using genetic algorithm (GA). Simulation results of multi machine power system reveal that the performance of HyPSS is quite robust to wide variations in loading conditions both for small and large perturbations.

Keywords

fuzzy control; genetic algorithms; power system control; power system dynamic stability; power system transient stability; delta-omega power system stabilizer; denormalization factor; dynamic stability; fuzzy logic power system stabilizer; genetic algorithm; multimachine power system; normalization factor; transient stability; Fuzzy logic; Genetic algorithms; Hybrid power systems; Power system dynamics; Power system interconnection; Power system modeling; Power system simulation; Power system stability; Power system transients; Tuning; Power system stabilizer; dynamic stability; fuzzy logic; genetic algorithm; multi machine stability; transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-1355-3

Electronic_ISBN

978-1-4244-1356-0

Type

conf

DOI

10.1109/ICIAS.2007.4658512

Filename

4658512