Investigation of power system stabilizer (PSS) parameters optimization using multi-power flow conditions

Author

Tiako, R. ; Folly, K.A.

Author_Institution

Dept. of Electr. Eng., Univ. of Cape Town, Cape Town

fYear

2007

fDate

9-12 Dec. 2007

Firstpage

1

Lastpage

6

Abstract

This paper presents an investigation into the optimization of power system stabilizer (PSS) parameters using multi-power flow conditions. A simple objective function takes into account all the critical operating conditions. The steepest descent optimization method based on eigenvalue sensitivity is used for the minimization of the objective function. Two types of PSSs are evaluated, namely, the optimized PSS (OPSS) based on multi-power flow conditions and the conventional PSS (CPSS). It is shown that the OPSS performs better than the CPSS on a single machine infinite bus (SMIB) system.

Keywords

eigenvalues and eigenfunctions; load flow; optimisation; power system stability; eigenvalue sensitivity; multipower flow conditions; objective function; parameters optimization; power system stabilizer; single machine infinite bus system; steepest descent optimization; Adaptive control; Control systems; Eigenvalues and eigenfunctions; Equations; Genetic algorithms; Optimization methods; Power system dynamics; Power system modeling; Power systems; Robust control; Eigenvalue Sensitivity; Multi-Power Flow Conditions; Power System Stabilizer; Steepest Descent Method;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference, 2007. AUPEC 2007. Australasian Universities

Conference_Location

Perth, WA

Print_ISBN

978-0-646-49488-3

Electronic_ISBN

978-0-646-49499-1

Type

conf

DOI

10.1109/AUPEC.2007.4548074

Filename

4548074