Online estimation of power system distribution factors - A sparse representation approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a method to compute linear sensitivity distribution factors (DFs) in near real-time without relying on a power flow model of the system. Instead, the proposed method relies on the solution of an underdetermined system of linear equations that arise from high-frequency synchronized measurements obtained from phasor measurement units. In particular, we exploit a sparse representation (i.e., one in which many elements are zero) of the desired DFs obtained via a linear transformation, and cast the estimation problem as an io-norm minimization. As we illustrate through examples, the proposed approach is able to provide accurate DF estimates with fewer sets of synchronized measurements than earlier approaches that rely on the solution of an overdetermined system of equations via the least-squares errors method.

Original languageEnglish (US)
Title of host publication45th North American Power Symposium, NAPS 2013
DOIs
StatePublished - Dec 1 2013
Event45th North American Power Symposium, NAPS 2013 - Manhattan, KS, United States
Duration: Sep 22 2013Sep 24 2013

Publication series

Name45th North American Power Symposium, NAPS 2013

Other

Other45th North American Power Symposium, NAPS 2013
CountryUnited States
CityManhattan, KS
Period9/22/139/24/13

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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  • Cite this

    Chen, Y. C., Dominguez-Garcia, A., & Sauer, P. W. (2013). Online estimation of power system distribution factors - A sparse representation approach. In 45th North American Power Symposium, NAPS 2013 [6666886] (45th North American Power Symposium, NAPS 2013). https://doi.org/10.1109/NAPS.2013.6666886