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Downstream network modeling for switching transients in EHV networks containing cables
Eindhoven University of Technology.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
TenneT TSO BV, Arnhem.
Eindhoven University of Technology.
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Number of Authors: 52017 (English)In: IEEE PES PowerTech Manchester 2017: towards and beyond sustainable energy systems, 2017, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, article id 7980800Conference paper, Published paper (Refereed)
Abstract [en]

For the study of switching transients in Extra High Voltage (EHV) networks it is common practice to model a relatively small part of the EHV network. The downstream network is either disregarded or modeled as a parallel RC or RL circuit, based on the powerflow, directly at the secondary side of the transmission transformer. In this paper an investigation for the extent and model type of the downstream network (below 380 kV) is performed. A detailed model for an example downstream network is developed. Different simplifications and equivalent models are compared in frequency domain and in time domain, during cable energization. The impact of the lower voltage network on both the maximum overvoltage and the harmonic content during energization is assessed. Moreover, components that are of major importance are identified and proper equivalent models for the downstream network are proposed. Simulation results show that in particular the type of the 150 kV network (underground cable or overhead line) affects greatly both the maximum overvoltage and the harmonic content during energization. On the other hand, the parameters of end customer loads have only minor effect.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. article id 7980800
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-66244DOI: 10.1109/PTC.2017.7980800ISI: 000411142500014Scopus ID: 2-s2.0-85034777392ISBN: 978-1-5090-4237-1 (electronic)OAI: oai:DiVA.org:ltu-66244DiVA, id: diva2:1152341
Conference
12th IEEE PES PowerTech Conference, Manchester, June 18-22 2017
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2017-12-05Bibliographically approved

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Bollen, Math

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Citation style
  • apa
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  • Other locale
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