Classification of Power Quality Events Based on Two Dimensional Wavelet Transformation
محل انتشار: بیست و چهارمین کنفرانس بین المللی برق
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,677
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شناسه ملی سند علمی:
PSC24_022
تاریخ نمایه سازی: 28 اسفند 1388
چکیده مقاله:
Identification of voltage and current disturbances is an important task in power system monitoring and protection. In this paper, a new algorithm for online characterization of voltage disturbances based on two dimensional wavelet transformation is proposed. This algorithm is more complicated than algorithms based on one dimensional wavelet transformation, but it’s more precise and is suitable for transients with slow variations. After each five cycles, a matrix is formed based on those cycles and the fifteen cycles before them, in a way that the voltage signal in one cycle forms one row of the matrix. Then, the resulted image is decomposed into approximation and details by two dimensional wavelet transformation. Details contain the useful information. By processing the details, special patterns associated with each type of disturbance can be detected. A new algorithm is proposed for extracting suitable features of disturbances based on the details. At the end, the algorithm is implemented using the nearest neighbor classifier system.
کلیدواژه ها:
Power quality ، Event detection and classification ، Two dimensional wavelet transformation ، Pattern classification ، Feature ، Classifier system
نویسندگان
Nader Mollayi
MSC student of electrical engineeringSharif University of Technology Electrical Engineering DepartmentTehran, Iran
Hossein Mokhtari
Associate ProfessorElectrical Engineering Department Sharif University of TechnologyTehran, Iran