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Downstream network modeling for switching transients in EHV networks containing cables
Eindhoven University of Technology.
Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, Energivetenskap.ORCID-id: 0000-0003-4074-9529
TenneT TSO BV, Arnhem.
Eindhoven University of Technology.
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Antal upphovsmän: 52017 (Engelska)Ingår i: IEEE PES PowerTech Manchester 2017: towards and beyond sustainable energy systems, 2017, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017, artikel-id 7980800Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. artikel-id 7980800
Nationell ämneskategori
Annan elektroteknik och elektronik
Forskningsämne
Elkraftteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-66244DOI: 10.1109/PTC.2017.7980800ISI: 000411142500014Scopus ID: 2-s2.0-85034777392ISBN: 978-1-5090-4237-1 (digital)OAI: oai:DiVA.org:ltu-66244DiVA, id: diva2:1152341
Konferens
12th IEEE PES PowerTech Conference, Manchester, June 18-22 2017
Tillgänglig från: 2017-10-24 Skapad: 2017-10-24 Senast uppdaterad: 2017-12-05Bibliografiskt granskad

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