Robust H∞ tracking control combined with optimized PSS by PSO algorithm for multimachine power system

Joint Authors

Khaddouj, Fayizah Dib
Bin Mizyan
Boumhidi, Ismail

Source

Journal of Electrical Systems

Issue

Vol. 11, Issue 1 (31 Mar. 2015), pp.36-48, 13 p.

Publisher

Piercing Star House

Publication Date

2015-03-31

Country of Publication

Algeria

No. of Pages

13

Main Subjects

Electronic engineering

Topics

Abstract EN

In this paper, the proposed controller design is based on Htracking control combined with the optimized Power System Stabilizer (PSS).

In addition the parameters of the PSS controller are optimized using the Particle Swarm Optimization algorithm (PSO).

The aim of this study is to obtain a high performance for the speed deviation and the angle rotor simultaneously, also the damping of the oscillations and the enhancing power system stability.

Using the Htracking control show the convergence of the errors to the neighborhood of zero.

In order to test the effectiveness of the proposed method, the simulation results clearly indicate the damping of the oscillations of the angle rotor and angular speed with reduced overshoots which confirms the performance of the proposed scheme.

American Psychological Association (APA)

Khaddouj, Fayizah Dib& Bin Mizyan& Boumhidi, Ismail. 2015. Robust H∞ tracking control combined with optimized PSS by PSO algorithm for multimachine power system. Journal of Electrical Systems،Vol. 11, no. 1, pp.36-48.
https://search.emarefa.net/detail/BIM-525251

Modern Language Association (MLA)

Khaddouj, Fayizah Dib…[et al.]. Robust H∞ tracking control combined with optimized PSS by PSO algorithm for multimachine power system. Journal of Electrical Systems Vol. 11, no. 1 (Mar. 2015), pp.36-48.
https://search.emarefa.net/detail/BIM-525251

American Medical Association (AMA)

Khaddouj, Fayizah Dib& Bin Mizyan& Boumhidi, Ismail. Robust H∞ tracking control combined with optimized PSS by PSO algorithm for multimachine power system. Journal of Electrical Systems. 2015. Vol. 11, no. 1, pp.36-48.
https://search.emarefa.net/detail/BIM-525251

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 48

Record ID

BIM-525251