Testing and validation of a dynamic estimator of states in OPAL-RT real time simulator

Anamika Dubey, Saikat Chakrabarti, Vladimir Terzija

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

4 Citations (Scopus)

Abstract

The paper presents an adaptive Kalman filter based linear dynamic estimator of power system states, and validates its performance in a real-time simulation environment. OPAL-RT ePHASORsim is used as the real time environment, and procedure of developing the dynamic test case is discussed in detail. The estimator is based on measurements available from phasor measurement units (PMUs). On OPAL-RT platform, it is validated that the execution of the estimator can be completed before the arrival of each complete set of PMU measurements. The performance of the proposed method is also compared with extended Kalman filter based estimator on New England 39 bus test system under various disturbances such as three phase fault, sudden load changes, and load outage.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)9781538622124
DOIs
Publication statusPublished - 29 Jan 2018
Externally publishedYes
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: 16 Jul 201720 Jul 2017

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2018-January
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/TerritoryUnited States
CityChicago
Period16/07/1720/07/17

Keywords

  • Adaptive Kalman filter
  • Measurement uncertainty
  • OPAL-RT
  • Real-time simulation
  • Synchrophasor measurements

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