Segment Wise Communication Delay Measurement for Managing Renewable Energy Sources in Smart Grid

In order to meet the communication delay requirements of various message types while developing applications for the Smart Grid (SG), selection of appropriate communication technology is crucial and requires network segment-wise delay characterization under different network conditions. Thus, this thesis presents a segment-wise communication delay measurement technique and experimental results for SG applications. In this technique, an Arduino based test bed is developed to characterize communication delays across multiple hops using different communication technologies such as Wi-Fi, Ethernet, and cellular communication. This test bed is customized for the measurement of the delay involved in several network segments between remotely deployed photovoltaic (PV) panels and monitoring locations. Extensive delay measurement tests are conducted with varying data packet sizes under various controlled background traffic conditions, including Internet traffic. The test results can be used to infer the suitability of various communication technologies under diverse network conditions

The Compression Of Electric Signal Waveforms For Smart Grids: State Of The Art And Future Trends

In this paper, we discuss the compression of waveforms obtained from measurements of power system quantities and analyze the reasons why its importance is growing with the advent of smart grid systems. While generation and transmission networks already use a considerable number of automation and measurement devices, a large number of smart monitors and meters are to be deployed in the distribution network to allow broad observability and real-time monitoring. This situation creates new requirements concerning the communication interface, computational intelligence and the ability to process data or signals and also to share information. Therefore, a considerable increase in data exchange and in storage is likely to occur. In this context, one must achieve an efficient use of channel communication bandwidth and a reduced need of storage space for power system data. Here, we review the main compression techniques devised for electric signal waveforms providing an overview of the achievements obtained in the past decades. Additionally, we envision some smart grid scenarios emphasizing open research issues regarding compression of electric signal waveforms. We expect that this paper will contribute to motivate joint research efforts between electrical power system and signal processing communities in the area of signal waveform compression. © 2010-2012 IEEE.51291302Gu, I.Y.-H., Styvaktakis, E., Bridge the gap: Signal processing for power quality applications (2003) Signal processing, 66 (1), pp. 83-96. , JulRibeiro, M.V., Szczupak, J., Iravani, M.R., Gu, I.Y.-H., Dash, P.K., Mamishev, A.V., Emerging signal processing techniques for power quality applications (2007) EURASIP J. Adv. Signal Process, 2007 (2), pp. 16-16. , http://dx.doi.org/10.1155/2007/87425, Jun. [Online]. 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