Impact of measurement signals on the accuracy of online identification of power system dynamic signature

Panagiotis N. Papadopoulos, Tingyan Guo, Xiangyu Wang, Jovica V. Milanovic

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

2 Citations (Scopus)

Abstract

In order to identify the dynamic signature of power systems, it is important to monitor the generator rotor angles. The rotor angles can be obtained either by direct measurements of the rotor position or by indirect calculation of rotor angle from voltage and current measurements. Considering limited availability of direct measurements of rotor angles the indirect method is used in this paper taking into account the errors in calculated rotor angles. Decision tree based algorithm is used afterwards for online identification of power system dynamic signatures. Finally, the impact of the accuracy of measurement signals on the accuracy of the assessment of system dynamic signature is discussed.

Original languageEnglish
Title of host publication2015 IEEE Eindhoven PowerTech, PowerTech 2015
Place of PublicationPiscataway, NJ.
ISBN (Electronic)9781479976935
DOIs
Publication statusPublished - 31 Aug 2015
EventIEEE Eindhoven PowerTech, PowerTech 2015 - Eindhoven, Netherlands
Duration: 29 Jun 20152 Jul 2015

Conference

ConferenceIEEE Eindhoven PowerTech, PowerTech 2015
CountryNetherlands
CityEindhoven
Period29/06/152/07/15

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Keywords

  • decision tree
  • phasor measurement units
  • power system dynamic signature
  • predictor importance
  • rotor angle measurement
  • transient stability

Cite this

Papadopoulos, P. N., Guo, T., Wang, X., & Milanovic, J. V. (2015). Impact of measurement signals on the accuracy of online identification of power system dynamic signature. In 2015 IEEE Eindhoven PowerTech, PowerTech 2015 [7232362] Piscataway, NJ.. https://doi.org/10.1109/PTC.2015.7232362