This paper presents method to discriminate between transient voltage stability and voltage sag. The discrete wavelet transform (WT) is a powerful tool in the analysis of the transient phenomena in power systems because of its ability to extract information in both the time and frequency domain. This paper introduces a technique for accurate discrimination by combining WTs with neural networks (NNs). The WT is first applied to decompose the signals into a series of detailed wavelet components. The wavelet components are calculated and then employed to train a NN. The simulated results presented clearly show that the proposed technique can accurately discriminate between transient voltage stability and voltage sag in power system protection.
Jurado, F. and Ramón Saenz, J. (2004), "Detecting transient voltage stability and voltage sag", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 23 No. 2, pp. 392-409. https://doi.org/10.1108/03321640410510569Download as .RIS
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