Measurement-based estimation of linear sensitivity distribution factors and applications

Research output: Contribution to journalArticlepeer-review


In this paper, we propose a method to compute linear sensitivity distribution factors (DFs) in near real-time. The method does not rely on the system power flow model. Instead, it uses only high-frequency synchronized data collected from phasor measurement units to estimate the injection shift factors through linear least-squares estimation, after which other DFs can be easily computed. Such a measurement-based approach is desirable since it is adaptive to changes in system operating point and topology. We further improve the adaptability of the proposed approach to such changes by using weighted and recursive least-squares estimation. Through numerical examples, we illustrate the advantages of our proposed DF estimation approach over the conventional model-based one in the context of contingency analysis and generation re-dispatch.

Original languageEnglish (US)
Article number6687276
Pages (from-to)1372-1382
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number3
StatePublished - May 2014


  • Distribution factors
  • least squares methods
  • phasor measurement units
  • power system monitoring
  • sensitivity

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


Dive into the research topics of 'Measurement-based estimation of linear sensitivity distribution factors and applications'. Together they form a unique fingerprint.

Cite this