Title :
Fault detection algorithm of the photovoltaic system using wavelet transform
Author_Institution :
Dept. of Electr. Eng., Chung-Ju Nat. Univ., Chungju, South Korea
Abstract :
The fault detection algorithm of the grid-connected photovoltaic system using wavelet transform has been proposed in this paper. The fault detection of the photovoltaic system has significant importance in the power plant management. The extra hardware and sensors are required to detect the inverter failure in the conventional method, and it has the disadvantage of high cost and re-design problem if the inverter specification has been changed. The multi level decomposition wavelet transformation is an efficient method to detect fault location and components. The prompt and accurate diagnostic function is possible using the normalized standard deviation method. The merit of the proposed method is the simple calculation and precise diagnostic capabilities of the fault detection. The computer simulation is performed and the experimental result verifies the validity of the proposed method.
Keywords :
electric sensing devices; fault diagnosis; invertors; photovoltaic power systems; power generation faults; power system management; wavelet transforms; computer simulation; fault detection algorithm; fault diagnostic function; grid-connected photovoltaic system; inverter failure detection; multilevel decomposition wavelet transformation; normalized standard deviation method; power plant management; Discrete wavelet transforms; Fault detection; Hardware; Switches; Wavelet coefficients; Fault detection algorithm; MLD; Photovoltaic system; Wavelet transform;
Conference_Titel :
Power Electronics (IICPE), 2010 India International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-7883-5
DOI :
10.1109/IICPE.2011.5728156