Research on Power Quality Disturbance Automatic Recognition and Location

2003 IEEE Power Engineering Society General Meeting, Conference Proceedings

Volumn 2, Issue , 2003, Pages 687-691

  Gengyin, Li ^a   Ming, Zhou ^a   Zhiyuan, Zhang ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Disturbance location; Disturbance recognition; Genetic algorithm; Neural network; Power quality; Wavelet transform

Indexed keywords

CAPACITORS; ELECTRICITY; FEATURE EXTRACTION; FLICKERING; GENETIC ALGORITHMS; NEURAL NETWORKS; SWITCHING; TOPOLOGY; VECTORS; WAVELET TRANSFORMS;

DISTURBANCE LOCATION; DISTURBANCE RECOGNITION; POWER QUALITY;

ELECTRIC POWER SYSTEMS;

EID: 1542269758     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. S.Santoso, E.J.Powers, W.M.Grady, et al. "Power quality assessment via wavelet transform analysis". IEEE Trans. on Power Delivery, vol.11, no.2, pp. 924-929, 1996
3. G.T.Heydt, A.W.Galli, "Transient power quality problems analyzed using wavelets." IEEE Trans. Power Delivery, vol. 12, no. 2, pp. 908-915, 1997.
4. O.Poisson, P.Rional, M.Meunier, "New signal processing tools applied to power quality analysis. IEEE Trans. Power Delivery, vol.14, no. 2, pp.561-566, 1999.
5. S.Santoso, E.J.Power, W.M. Grady, et al. "Power quality disturbance waveform recognition using wavelet-based neural classifier: part 1: theoretical foundation, part 2: application," IEEE Trans. Power Delivery, vol.15, no.1, pp.222-235, 2000.
6. Li Gengyin, Zhou Ming, Zhang Zhiyuan, "Power quality disturbance automatic recognition based on wavelet and genetic network," in Proc. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering Proceedings - IEEE TENCON ' 02/Beijing, Oct.28-31, 2002, pp. 1923-1926