Power System Stability Improvement Using Self-Tuning Fuzzy Logic Controlled STATCOM

Author

Ghafouri, A. ; Zolghadri, M.R. ; Ehsan, M.

Author_Institution

Sharif Univ. of Technol., Tehran

fYear

2007

fDate

9-12 Sept. 2007

Firstpage

1444

Lastpage

1449

Abstract

This paper presents the application of a fuzzy logic controlled Static Compensator (STATCOM) to improve stability of power system. The nonlinear fuzzy logic controller is used to overcome the problems generated by different uncertainties exist in power systems. Different input variables are used to design the controller. Parameters of the proposed controller are adjusted by means of Neural Network techniques to improve performance of the system. Proposed controller is implemented on a single machine infinite bus system to confirm the performance of the controller through simulation results.

Keywords

fuzzy control; neural nets; nonlinear control systems; power engineering computing; power system control; power system stability; self-adjusting systems; static VAr compensators; neural network techniques; nonlinear fuzzy logic controller; power system stability; self-tuning fuzzy logic controlled STATCOM; single machine infinite bus system; static compensator; Automatic voltage control; Control systems; Fuzzy logic; Input variables; Nonlinear control systems; Power generation; Power system simulation; Power system stability; STATCOM; Uncertainty; ANFIS; Fuzzy Logic Controller; STATCOM; Self-Tuning; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2007. The International Conference on "Computer as a Tool"

Conference_Location

Warsaw

Print_ISBN

978-1-4244-0813-9

Electronic_ISBN

978-1-4244-0813-9

Type

conf

DOI

10.1109/EURCON.2007.4400598

Filename

4400598