A Probability-One Homotopy Method for Stabilizer Parameter Tuning

Author

Guannan Wang ; Huanhai Xin ; Deqiang Gan ; Naihu Li

Author_Institution

Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China

Volume

28

Issue

4

fYear

2013

fDate

Nov. 2013

Firstpage

4624

Lastpage

4633

Abstract

A probability-one homotopy method for standard and least-square partial pole assignment problems is presented in this paper. The suggested method enjoys superior theoretical properties and it is very reliable. Implementation innovations, including the development of an efficient algorithm for computing the second order derivatives of eigenvalues, rescaling and eigenvalue tracking, are reported in detail. Simulation results of ten test systems including the East China power system with 465 machines and 3296 buses are described, showing that the suggested method is a reliable parameter tuning tool and it has the potential for solving real-world stabilizer parameter tuning problems.

Keywords

eigenvalues and eigenfunctions; least squares approximations; power system interconnection; power system stability; probability; East China power system; eigenvalue tracking; innovations; interconnected power system; least-square partial pole assignment problems; probability-one homotopy method; real-world stabilizer parameter tuning problems; reliable parameter tuning tool; rescaling; second order derivatives; stabilizer parameter tuning; test systems; Eigenvalues and eigenfunctions; Equations; Jacobian matrices; Prognostics and health management; Standards; Tuning; Vectors; Homotopy; parameter tuning; power system stabilizer; small-signal stability;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2013.2271786

Filename

6570557