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A channel model for power line communication using 4PSK technology for diagnosis: Some lessons learned
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-8278-8601
Alliander N.V., The Netherlands.
2018 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 95, p. 617-634Article in journal (Refereed) Published
Abstract [en]

Modern smart grids and smart metering concepts are based on reliable digital communications. The absence of dedicated communications media, such as telephone lines or fibre optics within a power line network, can make transmission challenging. Electrical power companies are interested in implementing an overall communicating power line network. The power line communication (PLC) system uses the electric power distribution grid as a data transmission medium. The data transmission problem resulted due to poorly developed Medium Voltage Network of PLC Channel Model and challenges in data transmission technology, so this hampers better performance. This paper studies PLC over a medium voltage network with a goal of achieving greater bit rates and communication that is more reliable over power lines. It presents a complete channel model of a PLC system and evaluation of Bit Error Rate (BER) of Phase Shift Keying (PSK) when corrupted with noise. It calculates the number of sections between two substations to determine signal loss. The PSK modulation scheme in simulation is experimentally found to be more robust against such power line distortions as noise for point-to-point transmission. The model and calculations use Matlab and QUCS.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 95, p. 617-634
Keywords [en]
Power line communication, Medium voltage, BER, PSK, Coupling
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-65791DOI: 10.1016/j.ijepes.2017.09.020ISI: 000416497900055Scopus ID: 2-s2.0-85029721539OAI: oai:DiVA.org:ltu-65791DiVA, id: diva2:1143965
Note

Validerad;2017;Nivå 2;2017-09-25 (andbra)

Available from: 2017-09-24 Created: 2017-09-24 Last updated: 2024-06-10Bibliographically approved

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Mishra, Madhav

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