NDLI: A prediction method for power frequency quality based on Bayesian theorem and uncertainty classification

Content Provider	IEEE Xplore Digital Library
Author	Yawei Wei Hossain, S. Kirkham, H.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA (Yawei Wei; Hossain, S.; Kirkham, H.)
Abstract	With the continuous concern on power system stability and increasing interesting on advanced PMU device application, the focus shifts from ordinary grid measurement data acquisition to system stability monitor and possible event forecast.Among these analysis, frequency quality and stability is always first priority. A proper prediction can help grid to adjust their operation quicker and increase the power reliability, however it still depend on the original data accuracy. In this paper, the proposed method presents a novel frequency quality detection and prediction method on the background of Bayesian theorem and BIPMs Guide to the expression of Uncertainty in Measurement (G.U.M). By analyzing the data stream from PMU in historical record, the proposed method draws an overall conclusion of system frequency quality with confidential level, uncertainty estimation and short time prediction value,which is easy to illustrate for control center operator. It has been tested using data from Michigan Tech Power Energy Lab. The preliminary DC signal tests the normal result for method validation. Testing results show this Bayesian-based prediction method has a great potential in power system frequency quality analysis and dynamic event prediction.
Sponsorship	IEEE Central Illinois Sect.
Starting Page	1
Ending Page	6
File Size	1113399
Page Count	6
File Format	PDF
ISBN	9781479948819
DOI	10.1109/PECI.2014.6804564
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Measurement uncertainty Prediction methods Phasor measurement units Bayes methods Frequency measurement Standards
Content Type	Text
Resource Type	Article

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