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Anomaly Detection Using Optimally Placed <tex-math notation='LaTeX'>$\mu \text{PMU}$ </tex-math> Sensors in Distribution Grids
- Source :
- IEEE Transactions on Power Systems. 33:3611-3623
- Publication Year :
- 2018
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2018.
-
Abstract
- As the distribution grid moves toward a tightly monitored network, it is important to automate the analysis of the enormous amount of data produced by the sensors to increase the operators situational awareness about the system. In this paper, focusing on microphasor measurement unit ( $\mu \text{PMU}$ ) data, we propose a hierarchical architecture for monitoring the grid and establish a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter. Due to the key role of the $\mu \text{PMU}$ devices in our architecture, an optimal $\mu \text{PMU}$ placement with limited number of sensors is also described that finds the best location of the devices with respect to our rules. The effectiveness of the proposed methods are tested through the synthetic and real $\mu \text{PMU}$ data.
- Subjects :
- Engineering
Situation awareness
business.industry
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
Sensor fusion
computer.software_genre
Grid
Topology
Set (abstract data type)
Units of measurement
Analytics
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Anomaly detection
Data mining
Electrical and Electronic Engineering
business
computer
Subjects
Details
- ISSN :
- 15580679 and 08858950
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Power Systems
- Accession number :
- edsair.doi...........66647412c646e2dfe4a23f5a76e75fb5