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Data Models and Protocol Mapping for Reduced Communication Load in Substation Automation with High Sampling Rate Protection Applications
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0001-9073-0792
KTH, School of Electrical Engineering and Computer Science (EECS), Electric Power and Energy Systems.ORCID iD: 0000-0003-3014-5609
2018 (English)In: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Institute of Electrical and Electronics Engineers (IEEE), 2018Conference paper, Published paper (Refereed)
Abstract [en]

In digital substations measurements between instrument transformers and protection systems are exchanged via an Ethernet-based process-level network using the Sampled Value (SV) protocol. At the same time, new protection applications, based on time-domain or travelling-wave signal information, require very high sampling rates, which increases the communication load on the network significantly. The increase of the communication load can be reduced through the concept of Distributed Signal Processing Units (DSPU). This paper proposes data models and suitable protocol mappings for such DSPUs and analyses their impact on the process-level network. The results are compared with the SV approach specified in IEC 61869–9 for digital interfaces of instrument transformers. It is shown that the DSPU concept can reduce the required network bandwidth in the case of high sampling rate protection applications.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018.
Keywords [en]
Data models, IEC Standards, Power system protection, Protocols, Substations, Transmission line measurements
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-240852DOI: 10.1109/SmartGridComm.2018.8587426ISBN: 978-1-5386-7954-8 (electronic)OAI: oai:DiVA.org:kth-240852DiVA, id: diva2:1275145
Conference
IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, Aalborg, October 29-31, 2018
Note

QC 20190107

Available from: 2019-01-04 Created: 2019-01-04 Last updated: 2019-01-07Bibliographically approved

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Publisher's full texthttps://ieeexplore.ieee.org/document/8587426

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Hohn, FabianNordström, Lars

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