Detecting transient voltage stability and voltage sag

• Published in: Compel Vol. 23; no. 2; pp. 392 - 409
• Main Authors: Jurado, Francisco, Ramón Saenz, José
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Group Publishing Limited 01.06.2004
• Subjects: Electric power; Electrical engineering; Electricity distribution; Inductance; Loading physics; Neural nets; Neural networks; Physics; Studies; Transient response; Voltage fluctuations; Wavelengths; Wavelet transforms; Inductance; Transient response; Voltage fluctuations; Loading (physics); Wavelengths; Neural nets
• ISSN: 0332-1649; 2054-5606
• DOI: 10.1108/03321640410510569

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.