Real-Time Detection of Power System Disturbances Based on $k$ -Nearest Neighbor Analysis

Real-Time Detection of Power System Disturbances Based on $k$ -Nearest Neighbor Analysis

Efficient disturbance detection is important for power system security and stability. In this paper, a new detection method is proposed based on a time series analysis technique known as k-nearest neighbor (kNN) analysis. Advantages of this method are that it can deal with the electrical measurement...

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Bibliographic Details
Main Authors: Lianfang Cai, Nina F. Thornhill, Stefanie Kuenzel, Bikash C. Pal
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Disturbance detection
power system
security
stability
k-nearest neighbor (kNN)
anomaly index
Online Access:https://ieeexplore.ieee.org/document/7885064/

Internet

https://ieeexplore.ieee.org/document/7885064/

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