Power system transient stability-constrained optimal power flow: A comprehensive review

Yan Xu, Zhao Yang Dong, Zhao Xu, Rui Zhang, Kit Po Wong

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

25 Citations (Scopus)


Transient stability-constrained optimal power flow (TSC-OPF) simultaneously considers static and dynamic constraints of the power system when optimizing the operating variables. It has become a widely adopted tool for power system preventive control against blackouts triggered by transient instability. But due to the high non-linear inherence of system dynamics, the solving of TSC-OPF is very tricky. In literature, various methods have been proposed for identifying the most effective solution to TSC-OPF. This paper conducts a comprehensive review on the state-of-the-art methods reported in literature, aiming to provide more valuable insights into this area. At first, the mathematical model of TSC-OPF is revisited. Subsequently, the difficulties of solving TSC-OPF are identified, and the methods are classified into three categories, the detailed review, comments and discussions are then given, covering their philosophy, computation procedures, merits and demerits, and possible improvement directions. Finally, the simulation results on some common testing systems by the methods are shown for more distinct illustrations of the methods.
Original languageEnglish
Title of host publication2012 IEEE Power and Energy Society General Meeting, PES 2012
Publication statusPublished - 11 Dec 2012
Event2012 IEEE Power and Energy Society General Meeting, PES 2012 - San Diego, CA, United States
Duration: 22 Jul 201226 Jul 2012


Conference2012 IEEE Power and Energy Society General Meeting, PES 2012
Country/TerritoryUnited States
CitySan Diego, CA


  • optimal power flow
  • preventive control
  • transient stability

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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