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
Link To Document :
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