Ranking-Based Physics-Informed Line Failure Detection in Power Grids
- URL: http://arxiv.org/abs/2209.01021v1
- Date: Wed, 31 Aug 2022 18:19:25 GMT
- Title: Ranking-Based Physics-Informed Line Failure Detection in Power Grids
- Authors: Aleksandra Burashnikova and Wenting Li and Massih Amini and Deepjoyti
Deka and Yury Maximov
- Abstract summary: Real-time and accurate detecting of potential line failures is the first step to mitigating the extreme weather impact and activating emergency controls.
Power balance equations nonlinearity, increased uncertainty in generation during extreme events, and lack of grid observability compromise the efficiency of traditional data-driven failure detection methods.
This paper proposes a Physics-InformEd Line failure Detector (FIELD) that leverages grid topology information to reduce sample and time complexities and improve localization accuracy.
- Score: 66.0797334582536
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Climate change increases the number of extreme weather events (wind and
snowstorms, heavy rains, wildfires) that compromise power system reliability
and lead to multiple equipment failures. Real-time and accurate detecting of
potential line failures is the first step to mitigating the extreme weather
impact and activating emergency controls. Power balance equations nonlinearity,
increased uncertainty in generation during extreme events, and lack of grid
observability compromise the efficiency of traditional data-driven failure
detection methods. At the same time, modern problem-oblivious machine learning
methods based on neural networks require a large amount of data to detect an
accident, especially in a time-changing environment. This paper proposes a
Physics-InformEd Line failure Detector (FIELD) that leverages grid topology
information to reduce sample and time complexities and improve localization
accuracy. Finally, we illustrate the superior empirical performance of our
approach compared to state-of-the-art methods over various test cases.
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