Application of Fuzzy Logic PSS to Enhance Transient Stability in Large Power Systems

Author

Etingov, P.V. ; Voropai, N.I.

Author_Institution

Energy Syst. Inst., Irkutsk

fYear

2006

fDate

12-15 Dec. 2006

Firstpage

1

Lastpage

9

Abstract

The paper presents an application of fuzzy logic power system stabilizers (FLPSS) to enhance transient stability in large electric power systems. A two-stage technology of FLPSS adaptation is considered taking into account the real conditions of a power system. Self-organizing artificial neural network (ANN) is used for clusterization of the test disturbances. A genetic algorithm (GA) is applied to tuning parameters of FLPSS. ANN is used on-line to adapt FLPSS to changes in operating conditions. The studies have been conducted using the models of a 14-bus multi-machine power system and regional Siberian power system as the study cases. The results obtained are presented.

Keywords

fuzzy control; genetic algorithms; neurocontrollers; power system analysis computing; power system control; power system faults; power system transient stability; self-adjusting systems; FLPSS; Siberian power system; artificial neural network; disturbance clusterization; fuzzy logic power system stabilizer; genetic algorithm; large power system transient stability; self-organizing ANN; Artificial neural networks; Fuzzy logic; Optimal control; Power system modeling; Power system stability; Power system transients; Power systems; Robust stability; System testing; Tuning; Fuzzy Logic; Genetic Algorithms; Neural Networks; Power System Stability; Power System Stabilizer;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on

Conference_Location

New Delhi

Print_ISBN

0-7803-9772-X

Electronic_ISBN

0-7803-9772-X

Type

conf

DOI

10.1109/PEDES.2006.344291

Filename

4147998