• DocumentCode
    2021037
  • Title

    Estimation of geoelectric field for validating geomagnetic disturbance modeling

  • Author

    Kazerooni, M. ; Hao Zhu ; Shetye, K. ; Overbye, Thomas J.

  • Author_Institution
    Dept. of ECE, Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2013
  • fDate
    22-23 Feb. 2013
  • Firstpage
    218
  • Lastpage
    224
  • Abstract
    Geomagnetic induced currents (GICs) cause half cycle saturation of transformers and consequently increase the harmonic currents and reactive power in the grid. This paper focuses on the GIC modeling as an important geomagnetic disturbance (GMD) mitigation program. A linear model is presented which relates the transformer GICs to the geoelectric fields based on power network topology and conductances. Using the transformer GIC measurements, three effective techniques are proposed for estimating geoelectric fields, namely the Least-squares (LS) estimator, the Ridge Regression (RR) Estimator and the Lease Absolute Value (LAV) one. The effectiveness of the three estimators under various noise scenarios is validated for a small systems and a larger test case through simulation results.
  • Keywords
    electric admittance; geomagnetism; harmonics suppression; least mean squares methods; network topology; power grids; power transformers; reactive power; regression analysis; terrestrial electricity; LAV estimator; LS estimator; RR estimator; conductance; geoelectric field estimation; geomagnetic disturbance modeling; geomagnetic induced current; harmonic current; lease absolute value; least square estimation; linear model; power grid; power network topology; reactive power; ridge regression estimation; transformer GIC measurement; transformer half cycle saturation; Accuracy; Estimation; Gaussian noise; Noise measurement; Signal to noise ratio; Substations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Conference at Illinois (PECI), 2013 IEEE
  • Conference_Location
    Champaign, IL
  • Print_ISBN
    978-1-4673-5601-5
  • Type

    conf

  • DOI
    10.1109/PECI.2013.6506061
  • Filename
    6506061