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Application of software-defined radio for power-line-communication-based monitoring

Poluektov, Anton (2020-02-07)

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Anton Poluektov A4.pdf (33.63Mb)
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Poluektov, Anton
07.02.2020
Lappeenranta-Lahti University of Technology LUT

Acta Universitatis Lappeenrantaensis

School of Energy Systems

School of Energy Systems, Sähkötekniikka

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Julkaisun pysyvä osoite on
https://urn.fi/URN:ISBN:978-952-335-487-6

Tiivistelmä

Power line communication (PLC) is an established telecommunication technology. A PLC-based communication system has the advantage of securing data. transmission over already existing power line networks. In this way, an insta.llation of a dedicated communi­cation medium (e.g. fiber optics, coaxial cables, twisted pairs) is not required. As a result, the communication system topology can be simplified and the implementation cost can be decreased. At the same time, the power line provides a harsh and noisy communication channel. Design of a PLC-based communication systems requires a thorough study of the particular communication channel, as power line characteristics are very different in different applications and environments.

A software-defined radio (SOR) is a communication system, which has significant utility in various fields owing to its high flexibility of settings. Communication parameters, sig­nal (de)modulation, and processing techniques can be modified using software. An SOR platform is a basis for a cognitive radio, which is capable of adapting to environmental conditions. In this doctoral dissertation, the applicability of SDRs to PLC in power grids and electrical motor drives is studied.

First, a PLC-based concept for monitoring (islanding detection) of a power grid is pre­sented. The direct sequence spread spectrum (DSSS) modulation technique is employed, as it provides high robustness against channel noise and attenuation. The concept is stud­ied in the laboratory environment with application of SDRs by analysing the commu­nication channel and performing a sensitivity analysis of the developed communication system. The sensitivity analysis allows to investigate the system performance against variation in the signal-to-noise ratio and to define optimal communication settings. The applicability of SDRs to power cable monitoring is discussed and an online monitoring concept is introduced. Laboratory evaluation of the developed concept is performed. The conducted analysis allowed to define optimal communication settings of the developed PLC system, making it suitable for islanding detection and at the same time for data transmission.

Next, the dissertation focuses on application of SD Rs for monitoring the electrical drive motor. The channel characteristics and the noise scenario are studied in the laboratory. A PLC concept applying DSSS modulation is introduced. Data transmission tests are performed and the applicability limits and optimal communication settings are presented. The communication system proved to be applicable in the studied environment. Despite the low data rate, which limits the range of possible system applications, the system is suitable for long distance data transmission.
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