A novel wavelet transform based voltage sag/swell detection algorithm |
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| Affiliation: | 1. Federal University of Itajubá UNIFEI – Av. BPS, 1303, bairro Pinheirinho, Caixa Postal 50 Itajubá, MG CEP 37500 903, Brazil;2. IFES Federal Institute of Espírito Santo – Estrada da Tartaruga, s/n – Muquiçaba, Guarapari, ES CEP 29215-090, Brazil;1. Federal University of Lavras, Minas Gerais, MG, Brazil;2. Federal University of Rio de Janeiro, Signal Processing Lab, COPPE/Poli, Rio de Janeiro, RJ, Brazil;3. Department of Electrical Circuits, Federal University of Juiz de Fora, Campus Universitário, 36036 900 Juiz de Fora, MG, Brazil;1. College of Electrical Engineering, Sichuan University, China;2. State Grid Sichuan Electric Power Company Chengdu Power Supply Company, China;1. Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil;2. Sirjan University of Technology, Kerman, Iran;3. Luleå University of Technology, Skellefteå, Sweden |
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| Abstract: | This paper proposes a novel sag/swell detection algorithm based on wavelet transform (WT) operating even in the presence of flicker and harmonics in source voltage. The developed algorithm is the hybrid of Daubechies wavelets of order 2 (db2) and order 8 (db8) to detect voltage sag/swell with and without positive/negative phase jumps. The hybrid detection algorithm can detect the start and end times of voltage sag/swell with and without phase jumps within 0.5 ms and 1.15 ms, respectively. The performance of the proposed voltage sag/swell detection method is compared with the results of dq-transformation, Fast Fourier Transform (FFT) and Enhanced Phase Locked Loop (EPLL) based voltage sag/swell detection methods. The good robustness and faster processing time to detect balanced and unbalanced voltage sag/swell are provided using proposed method. With the proposed hybrid detection algorithm consisting of db2 and db8 wavelet functions, a robust sag/swell detection is achieved which can give precise and quick response. The performance of proposed hybrid algorithm is validated and confirmed through simulation studies using the PSCAD/EMTDC analysis program. |
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| Keywords: | Wavelet transform Power quality disturbances Voltage sag/swell detection |
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