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.
Revised: September 20, 2019 |
Published: December 1, 2017
Citation
Etingov P.V., Z. Hou, H. Wang, H. Ren, D.V. Zarzhitsky, J.A. De Chalendar, and D. Kosterev, et al. 2017.Cloud Based Analytical Framework for Synchrophasor Data Analysis. In CIGRE US National Committee 2017 Grid of the Future Symposium, October 22-25, 2017, Cleveland, OH. Paris:CIGRE.PNNL-SA-127703.