Robust PSS design considering power system contingencies based on a recursive PSO

Zhen Wang, Deqiang Gan, C. Y. Chung, K. P. Wong, Chen Shen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A systematical approach that can synthesize system contingencies into probabilistic PSS design is developed. A critical contingency screening is first conducted by a ranking of contingencies according to a probabilistic small signal stability index. A multi-objective optimization model is formulated to seek satisfactory system damping performance under both pre-contingency and post-contingency situations. A recursive Particle Swarm Optimization (PSO) technique is then used to solve the optimization model. Performance of the proposed model and solution is tested and investigated on an eight-machine system and The potential and superiority of the proposed method over other two intelligence computation methods is reported.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages668-675
Number of pages8
DOIs
Publication statusPublished - Aug 2010
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • Particle Swarm optimization
  • Power system stabilizer (PSS)
  • Small signal stability
  • System contingencies

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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