A Self-Organizing Fuzzy Power System Stabilizer Based on Slide Mode Control

Author

Wang Hong-jun ; Zhao Hui

Author_Institution

Tianjin Key Lab. for Control Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China

Volume

1

fYear

2010

fDate

13-14 March 2010

Firstpage

335

Lastpage

338

Abstract

In this paper, a strategy for self-organizing fuzzy power system stabilizer (PSS) is formulated and evaluated. Unlike other methods that have a learning algorithm to update look-up table, the proposed PSS consists of output look-up table that is made by fuzzy rule base, and learning algorithm based on the principle of sliding mode. The results of this proposed PSS reduces computation time, steady state error, efficient response achieved for damping electromechanical modes of oscillations, and enhance power system synchronous stability.

Keywords

damping; fuzzy control; oscillations; power system control; power system stability; self-adjusting systems; table lookup; variable structure systems; computation time; efficient response; electromechanical modes; fuzzy rule base; learning algorithm; oscillations; output look-up table; power system synchronous stability; self-organizing fuzzy power system stabilizer; slide mode control; steady state error; Control systems; Fuzzy control; Fuzzy systems; Mathematical model; Power system control; Power system measurements; Power system modeling; Power system stability; Power systems; Sliding mode control; Fuzzy Systems; PSS; Power system stabilization; VSC;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.105

Filename

5459718