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《Power System Technology》 2005-06
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A NEW METHOD TO DETECT AND LOCATE POWER QUALITY DISTURBING SIGNALS BASED ON SELF-CORRELATION ALGORITHM OF SHORT DATA WINDOW AND MATHEMATICAL MORPHOLOGY

ZHAO Qing-chun,ZOU Li,LIU Pei (School of Electrical and Electronics Engineering,Huazhong University of Science and Technology, Wuhan 430074,Hubei Province,China)  
A novel approach to detect and locate the power quality disturbing signals is proposed and its on-line realization can be easily achieved. Using the proposed approach the white noise in voltage and current signals can be efficiently filtrated. In this approach firstly the fundamental component of signal is estimated to extract the mixed information constituted by disturbing component and white noise, then the random noise in the mixed information is filtrated by self-correlation algorithm of short data window to extract disturbing information, finally the disturbances are detected by erosion operator in mathematical morphology and located precisely. Simulation results show that the proposed approach is effective.
【Fund】: 国家自然科学基金资助项目(50177011)。~~
【CateGory Index】: TM714
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