Low Discrepancy Sequences Based Optimization Algorithm for Tuning PSSs

Author

Alabduljabbar, A.A. ; Milanovic, J.V. ; Al-Eid, E.M.

Author_Institution

Dept. of Electr. Eng. & Electron., Univ. of Manchester, Manchester

fYear

2008

fDate

25-29 May 2008

Firstpage

1

Lastpage

9

Abstract

A Power System Stabilizer (PSS) is one of the most widely used power system controllers to enhance the stability of the power systems. In this paper, a new optimization technique for tuning PSSs in multi machine power system is presented. It is used to tune five PSSs in a 39-Bus IEEE New England network to enhance the small signal stability. The technique used is based on Low Discrepancy Sequence (LDS) or Quasi-Monte Carlo (QMC) algorithm. Different aspects regarding the application of this new algorithm are also presented. In addition, a comparison between LDS and one of the classical tuning methods namely Sequential Quadratic Optimization (SQP) is given. The results clearly demonstrate the effectiveness of the LDS method.

Keywords

Monte Carlo methods; optimisation; power system control; power system stability; 39-Bus IEEE New England network; PSS; low discrepancy sequence technique; multimachine power system; optimization algorithm; power system controller; power system stabilizer; quasiMonte Carlo algorithm; small signal stability; Artificial intelligence; Control systems; Flexible AC transmission systems; Mathematics; Optimization methods; Power system control; Power system faults; Power system planning; Power system stability; Student members;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on

Conference_Location

Rincon

Print_ISBN

978-1-9343-2521-6

Electronic_ISBN

978-1-9343-2540-7

Type

conf

Filename

4912674