@article{KennerThalerKuceraetal., author = {Kenner, Susanne and Thaler, Raphael and Kucera, Markus and Volbert, Klaus and Waas, Thomas}, title = {Comparison of Smart Grid architectures for monitoring and analyzing power grid data via Modbus and REST}, series = {EURASIP Journal on Embedded Systems}, volume = {2017}, journal = {EURASIP Journal on Embedded Systems}, doi = {10.1186/s13639-016-0045-7}, abstract = {Smart grid, smart metering, electromobility, and the regulation of the power network are keywords of the transition in energy politics. In the future, the power grid will be smart. Based on different works, this article presents a data collection, analyzing, and monitoring software for a reference smart grid. We discuss two possible architectures for collecting data from energy analyzers and analyze their performance with respect to real-time monitoring, load peak analysis, and automated regulation of the power grid. In the first architecture, we analyze the latency, needed bandwidth, and scalability for collecting data over the Modbus TCP/IP protocol and in the second one over a RESTful web service. The analysis results show that the solution with Modbus is more scalable as the one with RESTful web service. However, the performance and scalability of both architectures are sufficient for our reference smart grid and use cases.}, subject = {Intelligentes Stromnetz}, language = {en} } @inproceedings{KennerThalerKuceraetal., author = {Kenner, Susanne and Thaler, Raphael and Kucera, Markus and Volbert, Klaus and Waas, Thomas}, title = {Smart Grid architecture for monitoring and analyzing, including modbus and REST performance comparison}, series = {International Workshop on Intelligent Solutions in Embedded Systems (WISES), 12th, 29.-30. Oct. 2015, Ancona, Italy}, booktitle = {International Workshop on Intelligent Solutions in Embedded Systems (WISES), 12th, 29.-30. Oct. 2015, Ancona, Italy}, isbn = {978-8-8875-4808-2}, pages = {96}, abstract = {Smart Grid, Smart Metering, Electromobility and the regulation of the power network are keywords of the transition in energy policies. In the future, the power grid will be smart. Due to this the OTH Regensburg does research in this area based on different projects. This paper presents a data collection, analyzing and monitoring software for a reference Smart Grid. We discuss two possible architectures for collecting data from energy analyzers. The performance is analyzed with respect to real-time monitoring, analyzing load peaks and automated regulation of the power grid.}, language = {en} }