Computing power system parameters to maximize the small signal stability margin based on min-max models

Liqun Qi, Xiaojiao Tong, Yiju Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

In this article, we consider the small signal stability margin problem arising from power electric systems. To enlarge the small signal stability margin via adjusting some system parameters, we develop a constrained min-max optimization model. For this model, we first reformulate it as a classical nonlinear programming problem, and then apply the well developed and efficient SQP method to solve it. The numerical experiments for examples taken from power systems show that the new model and the reformulation are really effective.
Original languageEnglish
Pages (from-to)465-476
Number of pages12
JournalOptimization and Engineering
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Dec 2009

Keywords

  • Hopf bifurcation
  • Min-max optimization
  • Saddle-node bifurcation
  • Small signal stability
  • SQP method

ASJC Scopus subject areas

  • Software
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Electrical and Electronic Engineering

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