Resiliency-Driven Proactive Distribution System Reconfiguration With Synchrophasor Data

Pandey, Shikhar; Chanda, Sayonsom; Srivastava, Anurag K.; Hovsapian, Rob O.

doi:10.1109/tpwrs.2020.2968611

Resiliency-Driven Proactive Distribution System Reconfiguration With Synchrophasor Data

Journal Article · Wed Jan 22 04:00:00 EST 2020 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/tpwrs.2020.2968611· OSTI ID:1810550

Pandey, Shikhar ^[1]; Chanda, Sayonsom ^[2]; ^[3]; Hovsapian, Rob O. ^[4]

Washington State Univ., Pullman, WA (United States); Washington State University
National Grid, NY (United States)
Washington State Univ., Pullman, WA (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Measuring and enabling resiliency of electric distribution systems with increasing weather and cyber events are important. Some of the extreme events (e.g. Earthquakes, Hurricanes) and associated paths are predicted and monitored closely in advance and allow to take pre-event proactive control actions. The Distribution Phasor Measurement Units (D-PMUs) provide new opportunities and supporting such proactive actions. Here, a synchrophasor based resiliency driven pre-event reconfiguration can ensure minimizing impact of the expected event on the power distribution system and associated performance. However, the D-PMUs will also face challenges in terms of data quality similar to the transmission PMUs. The focus of this paper is to provide data mining approaches for anomaly detection in D-PMUs and proposing resiliency-driven pre-event reconfiguration with islanding as a proactive mechanisms to minimize the impact of adverse events on system using processed synchrophasors data. Results are validated for real industrial feeders and test cases with satisfactory response

Research Organization:: Washington State Univ., Pullman, WA (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE)

DOE Contract Number:: OE0000878

OSTI ID:: 1810550

Journal Information:: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 4 Vol. 35; ISSN 0885-8950

Publisher:: IEEE

Country of Publication:: United States

Language:: English

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