Abstract
The availability of Phasor Measurement Units (PMUs) and power system there of opens new avenues for automated monitoring and control of power system. A first step to automated, real time power system control is to detect and classify power system events in an online fashion. The Indian power grid (IPG) has also introduced synchrophasor technology and has been fast progressing to install over 1700 PMUs across the country. The challenge however remains to use such PMU data for online event detection and classification for an automated control. Such as event classifier would require data driven characteristics of different events to be extracted. In this paper, an attempt has been made to characterize a very common transmission line event, namely, single line to ground (SLG) events (faults) based on data collected from PMUs from the Northern region of the IPG.
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Acknowledgements
The work done in this article was financially supported by the Science Engineering & Research Board (SERB), India under grant sanction: EMR/2017/001508. The data used was provided by POSOCO and NRLDC. The authors gratefully acknowledge the support provided.
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Nath, B., Roy, D.S. (2020). Characterizing Single Line to Ground (SLG) Events with Indian Power Grid’s Synchrophasor Data. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_83
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DOI: https://doi.org/10.1007/978-3-030-42363-6_83
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