Interfacing harmonic electromagnetic models of grounding systems with the EMTP-ATP software package
Petar Sarajcev,
Slavko Vujevic and
Dino Lovric
Renewable Energy, 2014, vol. 68, issue C, 163-170
Abstract:
This paper proposes a methodology for interfacing the frequency-domain harmonic electromagnetic models of complex grounding systems (buried in horizontally stratified multilayer medium) with the EMTP-ATP software package, for the purpose of transient analysis of electrical power systems. It comprises three individual steps: (1) construction of the frequency-dependent nodal admittance matrix for the arbitrarily positioned system of conductors in horizontally stratified multilayer medium, (2) application of the vector fitting technique to this frequency-dependent nodal admittance matrix and (3) construction of the Foster-type networks from the results of the vector fitting and their interfacing with the EMTP-ATP environment. The proposed methodology is general and could be applied to different kinds of grounding systems, ranging from wind turbine grounding systems, to groundings of high voltage transmission line towers and towers carrying GSM base stations.
Keywords: Electromagnetic model; Grounding system; Transient analysis; EMTP; Vector fitting; Foster-type networks (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148114000974
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:68:y:2014:i:c:p:163-170
DOI: 10.1016/j.renene.2014.02.017
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().