Semi-infinite programming method for optimal power flow with transient stability and variable clearing time of faults

Xiaojiao Tong, Chen Ling, Soon Yi Wu, Liqun Qi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents a new nonlinear programming problem arising in the control of power systems, called optimal power flow with transient stability constraint and variable clearing time of faults and abbreviated as OTS-VT. The OTS-VT model is converted into a implicit generalized semi-infinite programming (GSIP) problem. According to the special box structure of the reformulated GSIP, a solution method based on bi-level optimization is proposed. The research in this paper has two contributions. Firstly, it generalizes the OTS study to general optimal power flow with transient stability problems. From the viewpoint of practical applications, the proposed research can improve the decision-making ability in power system operations. Secondly, the reformulation of OTS-VT also provides a new background and a type of GSIP in the research of mathematical problems. Numerical results for two chosen power systems show that the methodology presented in this paper is effective and promising.
Original languageEnglish
Pages (from-to)813-830
Number of pages18
JournalJournal of Global Optimization
Volume55
Issue number4
DOIs
Publication statusPublished - 1 Apr 2013

Keywords

  • Clearing time of faults
  • Generalized semi-infinite programming
  • Nonlinear programming
  • Optimal power flow with transient stability constraint

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Optimization
  • Management Science and Operations Research
  • Applied Mathematics

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