NDLI: Probabilistic load flow for distribution systems with wind production using Unscented Transform method

Content Provider	IEEE Xplore Digital Library
Author	Oke, O.A. Thomas, D.W.P. Asher, G.M. de Menezes, L.R.A.X.
Copyright Year	2011
Description	Author affiliation: University of Nottingham and Schlumberger Foundation, UK (Oke, O.A.) \|\| Dep. de Eng. Elect., Uni. de Brasilia, CEP 70910-919, Brazil (de Menezes, L.R.A.X.) \|\| Electrical Systems and Optics research division, The University of Nottingham, NG7 2RD United Kingdom (Thomas, D.W.P.; Asher, G.M.)
Abstract	In this paper, an approximate scheme called the Unscented Transforms (UT) method is proposed for probabilistic load flow studies. The proposed method involves carefully choosing a few selected points to approximate the probability distribution function of random variables within the system so as to significantly reduce the computation time. Since a power grid with embedded wind production is considered, the wind speed random variation is represented using a 3-parameter Weibull distribution. The wind power generated by the variable speed turbine is approximated as a composite distribution made up of the truncated Weibull-degenerate distributions. The Cumulative Distribution Function of the output variables are plotted using the Cornish-Fisher expansion technique. The effectiveness of the proposed method is proven by comparing the results obtained from it with those from the Monte Carlo simulation method using a simple 3-bus test system.
Starting Page	1
Ending Page	7
File Size	343789
Page Count	7
File Format	PDF
ISBN	9781612842189
e-ISBN	9781612842202
e-ISBN	9781612842196
DOI	10.1109/ISGT.2011.5759124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-01-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probabilistic load flow Wind energy Wind speed Wind power generation Probabilistic logic Polynomials Weibull distribution Mathematical model Unscented transforms Cornish-Fisher expansion Monte Carlo simulation Load flow
Content Type	Text
Resource Type	Article

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