A density based clustering scheme for situational awareness in a smart-grid

Synchrophasors are the state-of-the-art measuring sensors that sense voltage, current, or frequency with high data rate. This paper presents an approach to analyze the streaming smart-grid data generated by synchrophasors. A novel unit-circle representation is used to visualize the real-time phasor data. A Density based clustering (DBSCAN) method is proposed to cluster the phasor data to detect bad-data for classification, and identifying various fault anomalies. The paper uses datasets from an IEEE 14 bus system test-bed to aid system operators in carrying various predictive analytics and decisions.

[1]  Sambarta Dasgupta,et al.  Real-time monitoring of short-term voltage stability using PMU data , 2014 .

[2]  Arun G. Phadke,et al.  Synchronized Phasor Measurements and Their Applications , 2008 .

[3]  A. Abur,et al.  Multi area state estimation using synchronized phasor measurements , 2005, IEEE Transactions on Power Systems.

[4]  Lars Nordström,et al.  Synchrophasor-based data mining for power system fault analysis , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[5]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[6]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[7]  Ali Abur,et al.  Optimal Placement of Phasor Measurement Units for State Estimation , 2005 .

[8]  R.O. Burnett,et al.  Power system applications for phasor measurement units , 1994, IEEE Computer Applications in Power.

[9]  Rich Christie,et al.  IEEE 14-Bus System , 1993 .

[10]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

[11]  Ali Abur,et al.  Synchro-Phasor Assisted State Estimation (SPASE) , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[12]  A.R. Messina,et al.  Interpretation and Visualization of Wide-Area PMU Measurements Using Hilbert Analysis , 2006, IEEE Transactions on Power Systems.

[13]  F. Mosteller,et al.  Understanding robust and exploratory data analysis , 1985 .

[14]  Alexandru C. Telea,et al.  Data Visualization , 2007 .

[15]  Mohammad Ali Abido,et al.  An adaptive fault location algorithm for power system networks based on synchrophasor measurements , 2014 .

[16]  Chi-Shan Yu,et al.  A New PMU-Based Fault Location Algorithm for Series Compensated Lines , 2001, IEEE Power Engineering Review.

[17]  Robert Best,et al.  Islanding detection based on probabilistic PCA with missing values in PMU data , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.