Comparison of smart grid architectures for monitoring and analyzing power grid data via Modbus and REST
| Autor: | Markus Kucera, Thomas Waas, Susanne Kenner, Raphael Thaler, Klaus Volbert |
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| Rok vydání: | 2016 |
| Předmět: |
General Computer Science
business.industry Computer science 020209 energy 020208 electrical & electronic engineering Bandwidth (signal processing) 02 engineering and technology computer.software_genre law.invention Software Smart grid Control and Systems Engineering law Embedded system Scalability Internet Protocol 0202 electrical engineering electronic engineering information engineering Use case Web service business Modbus computer Computer Science(all) |
| Zdroj: | EURASIP Journal on Embedded Systems. 2017 |
| ISSN: | 1687-3963 |
| DOI: | 10.1186/s13639-016-0045-7 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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