DOE OSTI · 1562916
Cloud Based Analytical Framework for Synchrophasor Data Analysis
Abstract
The paper presents initial results from the development of a cloud-based, Big Data analysis platform for power systems. The computational pipeline uses the Apache Spark framework running in an OpenStack cloud infrastructure. A real-world phasor measurement unit (PMU) dataset has been used to carry out the analysis. Actual examples of power system events detection using synchrophasor data are presented. It has been shown that applications of the cloud based computing environment and the Apache Spark framework enable a significant increase in the computational efficiency of large-scale PMU data analysis.
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Etingov, Pavel V., Hou, Zhangshuan, Wang, Heng, Ren, Huiying, Zarzhitsky, Dimitri V., De Chalendar, Jacques A., Kosterev, Dmitry, Faris, Anthony J., Yang, Steve. 2017-12-01. Cloud Based Analytical Framework for Synchrophasor Data Analysis. https://www.osti.gov/biblio/1562916
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