TY  - JOUR
AB  - 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.
VL  - 23
IS  - 2
SN  - 0332-1649
DO  - 10.1108/03321640410510569
UR  - https://doi.org/10.1108/03321640410510569
AU  - Jurado Francisco
AU  - Ramón Saenz José
PY  - 2004
Y1  - 2004/01/01
TI  - Detecting transient voltage stability and voltage sag
T2  - COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
PB  - Emerald Group Publishing Limited
SP  - 392
EP  - 409
Y2  - 2024/04/24
ER  -