Voltage Track Prediction Based on WAMS

Qian Miao; Feng Yan; Ya Nan Liu

doi:10.4028/www.scientific.net/AMM.325-326.652

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326Voltage Track Prediction Based on WAMS

Voltage Track Prediction Based on WAMS

Abstract:

In order to give online voltage monitoring and stability margin judgment, a radial basis function (RBF) is used in this paper to predict the node voltage amplitude. Using BPA build IEEE9 network and input the processed data to RBF neural network, compared the results with the actual voltage amplitude, got a accurate prediction result. So as to stand out the accuracy of RBF, compared the relative error of prediction results between RBF and the second exponential smoothing model (SES). It testified the accuracy of RBF was more superior.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

652-655

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.652

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Online since:

June 2013

Authors:

Qian Miao, Feng Yan, Ya Nan Liu

Keywords:

Data Processing, RBF, Voltage Track Prediction, Wide-Area Measurement System (WAMS)

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References

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