Automatic Detection and Positioning of Power Quallity Disturbances using a Discrete Wavelet Transform
نویسندگان
چکیده
Voltage sag is one of the crucial problems of power quality that affects high power devices. It may cause sensitive devices to malfunction and may increase the failure in power systems. An appropriate algorithm for identifying and positioning the voltage sag disorder is suggested in this study. This procedure identifies the voltage sag online and automatically and can identify the exact time and position of this damaging circumstance. This method operates based on the analysis of wavelets and search blocks, and its procedure uses the discrete wavelet transform (DWT) to identify the changes in voltage signals with respect to the non-fault state. Simulation results on a nine-bus IEEE network confirm the validity and accuracy of the proposed method. [Ramtin Sadeghi, Reza Sharifian Dastjerdi, Payam Ghaebi Panah, Ehsan Jafari. Automatic Detection and Positioning of Power Quallity Disturbances using a Discrete Wavelet Transform. Life Sci J 2012;9(4):34813486]. (ISSN: 1097-8135). http://www.lifesciencesite.com. 516
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