Situational Awareness Using DBSCAN in Smart-Grid

Ranganath Vallakati, Anupam Mukherjee, Prakash Ranganathan

Department of Electrical Engineering, University of North Dakota, Grand Forks, USA.

DOI: 10.4236/sgre.2015.65011                

Abstract

Synchrophasors are the state-of-the-art measuring devices that sense various parameters such as voltage, current, frequency, and other grid parameters with a high sampling rate. This paper presents an approach to visualize and analyze the smart-grid data generated by synchrophasors using a visualization tool and density based clustering technique. A MATLAB based circle representation tool is utilized to visualize the real-time phasor data generated by a smart-grid model that mimics a synchrophasor. A density based clustering technique is also used to cluster the phasor data with the aim to detect contingency situations such as bad-data classification, various fault types, deviation on frequency, voltage or current values for better situational alertness. The paper uses data from an IEEE fourteen bus system test-bed modeled in MATLAB/SIMULINK to aid system operators in carrying various predictive analytics, and decisions.

Keywords

Clustering, Density Based Clustering (DBSCAN), IEEE Test-Bed, Phasor Measurement Unit, Visualization

Conflicts of Interest

The authors declare no conflicts of interest.

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