Title :
Using phasor data for visualization and data mining in smart-grid applications
Author :
Mukherjee, Anupam ; Vallakati, Ranganath ; Lachenaud, Valentin ; Ranganathan, Prakash
Author_Institution :
Dept. of Electr. Eng., Univ. of North Dakota, Grand Forks, ND, USA
Abstract :
This paper presents a density based clustering (DBSCAN) technique to visualize and analyze the smart-grid data. The technique will aid in detecting bad-data, various fault types, deviation on frequency, voltage or current values for better situational awareness. Synchrophasors (or a PMU) is a sensor placed on a transmission line that tracks voltage, current, phase and frequency of the line. To improve situational awareness of the smart grid monitoring in real-time, the utility must monitor the phasor data measurement delivered by the sensors. Time-stamped synchronized measurements offer tremendous benefit for pre and post-event analysis. The paper uses data from openPDC framework to aid system operators in carrying various predictive analytics, decisions.
Keywords :
data mining; data visualisation; phasor measurement; power engineering computing; smart power grids; DBSCAN technique; PMU; data mining; density based clustering technique; openPDC framework; phasor data; phasor data measurement; situational awareness; smart grid monitoring; smart-grid applications; synchrophasors; time-stamped synchronized measurements; transmission line; visualization; voltage tracking; Data mining; Data visualization; Feature extraction; Monitoring; Noise; Phasor measurement units; Transmission line measurements; Circle Representation; Density based clustering (DBSCAN); Phasor Measurement Unit; Situational Awareness; openPDC;
Conference_Titel :
DC Microgrids (ICDCM), 2015 IEEE First International Conference on
Conference_Location :
Atlanta, GA
DOI :
10.1109/ICDCM.2015.7152002
