TITLE:
Situational Awareness Using DBSCAN in Smart-Grid
AUTHORS:
Ranganath Vallakati, Anupam Mukherjee, Prakash Ranganathan
KEYWORDS:
Clustering, Density Based Clustering (DBSCAN), IEEE Test-Bed, Phasor Measurement Unit, Visualization
JOURNAL NAME:
Smart Grid and Renewable Energy,
Vol.6 No.5,
May
29,
2015
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.