Stress assessment in power systems and its visualization using synchrophasor based metrics

Pal, Anamitra; Singh, Iknoor; Bhargava, B.

doi:10.1109/naps.2014.6965460

Cited by 6 publications

(1 citation statement)

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“…Decision Trees are used to detect the loss of synchronism within PMU data in [18]. Using software platforms such as Real time Dynamic Monitoring System (RTDMS), a methodology has been proposed for assessing the static and dynamic stresses in large interconnected power grids [19]. A classification and regression trees (CART) method was used to classify the dynamic events in the power systems using synchrophasor measurements in [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Using phasor data for visualization and data mining in smart-grid applications

Mukherjee

Vallakati

Lachenaud

et al. 2015

2015 IEEE First International Conference on DC Microgrids (ICDCM)

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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.

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Section: Literature Reviewmentioning

confidence: 99%