Probabilistic modeling and reliability analysis for validating geomagnetically induced current data

Maryam Kazerooni, Hao Zhu, Thomas J Overbye

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

Abstract

Geomagnetically induced currents (GICs) cause half cycle saturation of transformers, which increases harmonic currents and reactive powers in the grid. This paper presents the least-squares (LS) estimation of the geoelectric field using the GIC measurements for model validation purposes. To account for more realistic noise scenarios, a general probabilistic GIC measurement model has been developed. Using the proposed model, the accuracy of the LS estimator and its reliability in assessing the geoelectric field are available analytically. The analytical results are verified through numerical simulations using a practical 20-bus test case.

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

Fingerprint Dive into the research topics of 'Probabilistic modeling and reliability analysis for validating geomagnetically induced current data'. Together they form a unique fingerprint.

Cite this