Fusion of PMU and SCADA Data for dynamic state estimation of power system

Malini Ghosal, Vittal Rao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In recent times dynamic state estimation has been identified as a requirement for the modern power system. The availability of Phasor Measurement Units (PMUs) has made the tracking of power system dynamic states in real time quite feasible. However, the measurement system of today's grid consists of a combination of 1) traditional slow SCADA data with low sampling rates and 2) fast PMUs having high sampling rates. Such measurements with different sampling rates pose a serious challenge in integrating them into power system dynamic state estimator. This paper addresses this problem as a special case of multi-rate multi-sensor data fusion problem and appropriately adopts a method to integrate PMU and SCADA data in the power system dynamic state estimator. The proposed method has been demonstrated using a IEEE 14 bus test case.

Original languageEnglish
Title of host publication2015 North American Power Symposium, NAPS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467373890
DOIs
StatePublished - Nov 20 2015
EventNorth American Power Symposium, NAPS 2015 - Charlotte, United States
Duration: Oct 4 2015Oct 6 2015

Publication series

Name2015 North American Power Symposium, NAPS 2015

Conference

ConferenceNorth American Power Symposium, NAPS 2015
CountryUnited States
CityCharlotte
Period10/4/1510/6/15

Keywords

  • Dynamic state estimation
  • Kalman filtering
  • SCADA
  • multi sensor data fusion
  • phasor measurement units
  • smart grid

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