Cluster computing-based trajectory sensitivity analysis application to the WECC system

Guanji Hou, Vijay Vittal

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


This paper presents an application of the trajectory sensitivity method to a large realistic power system. A cluster computing platform is utilized to solve the trajectory sensitivity equations in parallel when multiple sensitivity element calculations are performed. The results show great efficiency improvement with this platform. Another important issue addressed is the error associated with the perturbation size for linear trajectory approximations. When the perturbation size varies, it is critical to ascertain the accuracy of the trajectory approximation. A technique to characterize the error and quantify it is developed. A transient stability constrained preventive control application of generation rescheduling involving trajectory sensitivity analysis, parallel computing, and accuracy evaluation is presented for a large WECC test system. This demonstration highlights the efficacy of the parallel computing capability and accuracy of the calculated preventive control.

Original languageEnglish (US)
Article number5960007
Pages (from-to)502-509
Number of pages8
JournalIEEE Transactions on Power Systems
Issue number1
StatePublished - Feb 2012


  • Generation rescheduling
  • parallel computing
  • preventive control
  • trajectory sensitivity

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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