Power quality disturbance detection and identification based on dq conversion and wavelet transform

Dianli Zidonghua Shebei / Electric Power Automation Equipment

Volumn 25, Issue 7, 2005, Pages 5-

  Zhang, Xiu Juan ^a   Xu, Yong Hai ^a   Xiao, Xiang Ning ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Detection and identification; dq conversion; Power quality; Wavelet transform

Indexed keywords

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC POTENTIAL; ELECTRIC POWER SYSTEMS; SENSITIVITY ANALYSIS; WAVELET TRANSFORMS;

DISTURBANCE DETECTION; POWER QUALITY; VOLTAGE SAG;

POWER CONVERTERS;

EID: 33846134439     PISSN: 10066047     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

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2. SANTOSO S, POWERS E J,GRADY W M, et al. Power quality disturbance waveform recognition using wavelet -based neural classifier. Part I: Theoretical foundation [J]. IEEE Trans. on Power Delivery, 2000, 15(1):222-228.
3. SANTOSO S,POWERS E J,GRADY W M,et al. Power quality disturbance waveform recognition using wavelet -based neural classifier. Part II: Application [J]. IEEE Trans. on Power Delivery,2000, 15 (1):229-235.
4. JIANG Bin,LUO Xiao-ping,YAN Gang-feng. A new method of disturbance detection in power systems based on half -complex wavelet transform [J]. Automation of Electric Power Systems, 2003, 27(6):47-50.
5. ZHANG Xiu-juan,XU Yong-hai,XIAO Xiang-ning. Development of wavelet-transform based power quality disturbance detection and identification [J]. Electric Power Automation Equipment, 2003, 23(9):67-71.
6. XU Yong-hai, XIAO Xiang-ning, YANG Yi-han. Power quality disturbance identification using dq conversion-based neural classifier[j]. Automation of Electric Power Systems,2001, 25(14):24-28.