Data From: Method of Modeling the Swing Equation Using Time Synchronized Measurements

Author(s):  
Robert Ferraro
Author(s):  
Wen Fan ◽  
Yuan Liao ◽  
Ning kang

AbstractAccurate fault location in distribution systems greatly shortens maintenance time and improves reliability. This paper presents novel methods to pinpoint fault location and identify possible bad measurements for enhanced accuracy. It is assumed that network parameters and topology of the distribution network are available. The methods are applicable to a single fault as well as simultaneous faults and are applicable to both balanced and unbalanced networks. The methods utilize synchronized voltage and current phasor measurements to locate the fault. The methods are validated by simulation studies using the modified IEEE 34-Node Test System. Case studies have demonstrated that the methods are suitable for distribution systems with high penetration of distributed generations.


2020 ◽  
Vol 34 (10) ◽  
pp. 13895-13896 ◽  
Author(s):  
Shimeng Peng ◽  
Lujie Chen ◽  
Chufan Gao ◽  
Richard Jiarui Tong

Engaged learners are effective learners. Even though it is widely recognized that engagement plays a vital role in learning effectiveness, engagement remains to be an elusive psychological construct that is yet to find a consensus definition and reliable measurement. In this study, we attempted to discover the plausible operational definitions of engagement within an online learning context. We achieved this goal by first deriving a set of interpretable features on dynamics of eyes, head and mouth movement from facial landmarks extractions of video recording when students interacting with an online tutoring system. We then assessed their predicative value for engagement which was approximated by synchronized measurements from commercial EEG brainwave headset worn by students. Our preliminary results show that those features reduce root mean-squared error by 29% compared with default predictor and we found that the random forest model performs better than a linear regressor.


Author(s):  
Rui Ma ◽  
Jinxin Li ◽  
Juergen Kurths ◽  
Shi-jie Cheng ◽  
Meng Zhan
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