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Publication: IIP Proceedings Year: 2022, Month: November Page No: 19-26, ISSN/ISBN: 978-93-95632-89-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl20230DE3980AEA2979F.pdf
REAL TIME MONITORING AND ANALYSIS OF SMART MICRO-GRID USING PHASOR BASED SENSORS
Area/Stream: Renewable & Sustainable Energy, Authors: Bishakh Paul, Deepjyoti Mech Keywords: Phasor, Phasor measurement Unit, DFT, Micro-Grid Book Name /series: Futuristic Trends in Renewable & Sustainable Energy,Volume 2, Book 29, Part 1, Chapter 2Publication: IIP Proceedings Year: 2022, Month: November Page No: 19-26, ISSN/ISBN: 978-93-95632-89-8, DOI/Link: https://rsquarel.org/assets/docupload/rsl20230DE3980AEA2979F.pdf
Abstract:
Bidirectional power and energy flow between electrical energy consumers and the conventional grid has grown substantially with the development of nonconventional energy sources including solar, wind, and biomass. It enables buyers to do a lot more than use the energy it produces, but it also makes it possible to send any surplus back into the grid. MicroGrids are intelligent, fast, and efficient as a result of the development of smart sensors and other software tools in engineering applications, which allow for real-time monitoring and analysis of electrical parameters and the prediction of future events. To successfully apply PMUs in microgrid dynamic security monitoring and control, one must first understand the dynamic behavior of these devices. Acquiring data in real time, monitoring it, and exercising control over its properties at the load side are all tough tasks for the researchers working on the reliable operation of micro grids. Phasor Measurement Units (PMUs), which are some of the new technologies for phasor measurements, are equipped with sophisticated signal processing algorithms. Some of the popular algorithms are nonrecursive DFT and Recursive DFT. These PMUs are used for real-time measurements of the parameters of Micro-grids. In this study, an experiment was carried out by creating a microgrid setup with several AC loads and they all were connected to PMU. The real time data was collected and analyzed with the help of PCM600 platform. The data collected was time synchronized with GPS and hence proved more accurate as compared to other technologies.
Cite this: Bishakh Paul, Deepjyoti Mech,"REAL TIME MONITORING AND ANALYSIS OF SMART MICRO-GRID USING PHASOR BASED SENSORS", Futuristic Trends in Renewable & Sustainable Energy,Volume 2, Book 29, Part 1, Chapter 2, November, 2022, 19-26, 978-93-95632-89-8, https://rsquarel.org/assets/docupload/rsl20230DE3980AEA2979F.pdf
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