Robust design of power system stabilizers for multimachine power systems using differential evolution

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

21 Scopus citations

Abstract

In this chapter, an evolutionary algorithm based approach to multimachine Power System Stabilizer (PSS) design is presented. This approach employs Differential Evolution (DE) technique to search for optimal settings of PSS parameters. An eigenvalue-based objective function to enhance system damping for electromechanical modes is considered. The robustness of the proposed approach to the initial population is demonstrated. The performance of the proposed DE based PSS (DEPSS) under different disturbances, loading conditions, and system configurations is investigated and examined for different multimachine power systems. The eigenvalue analysis and the nonlinear simulation results show the robustness and the effectiveness of the DEPSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions.

Original languageEnglish
Title of host publicationComputational Intelligence in Power Engineering
EditorsBijaya Ketan Panigrahi
Pages1-18
Number of pages18
DOIs
StatePublished - 2010

Publication series

NameStudies in Computational Intelligence
Volume302
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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