Abstract
Situational awareness of microgrid is essential for timely decision making and protection by power system engineers. Real-time monitoring is required for adequate situational awareness of microgrid. Phasor measurement units (PMUs) are instrumental in tracking the real-time behavior of microgrid. PMU interfaced with a virtual instrumentation tool (LabVIEW) provides a faster computation leading to enhanced situational awareness. In this paper, the perception of fault is achieved by recognizing the deviations in voltage and frequency. The comprehension of the fault is accomplished by using the K-NN algorithm. Based on the comprehension of the fault, which phase of the transmission line to be disconnected is projected.
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Acknowledgements
The authors would like to thank Science and Engineering Research Board (SERB), India for providing the research funding under the Early Career Research Award category to carry out the research work. [Grant No.—ECR/2017/000812]
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Swain, K., Mahato, S.S., Mandal, S.K., Cherukuri, M. (2021). Microgrid Situational Awareness Using Micro-PMU. In: Reddy, M.J.B., Mohanta, D.K., Kumar, D., Ghosh, D. (eds) Advances in Smart Grid Automation and Industry 4.0. Lecture Notes in Electrical Engineering, vol 693. Springer, Singapore. https://doi.org/10.1007/978-981-15-7675-1_57
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DOI: https://doi.org/10.1007/978-981-15-7675-1_57
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