Study of Power Transformers Abnormal Monitoring for Smart Grid

• Main Authors: Chung-yem Lin, 林忠彥
• Other Authors: 鄭進興
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/10206895439848420381

碩士 === 逢甲大學 === 資訊電機工程碩士在職專班 === 100 === In the thesis, there are six kinds of wavelets which are Haar, Daubechies, Biorthogonal, Symlets, Rbio and Dmey being discussed to find the most suitable wavelets as detection of transformer operation waveform. The proposed wavelet is used on transformer as online monitor in order to find the demand in compliance with smart grid. Also, it can be used to diagnose the abnormal wavelet during the transform operation and magnetizing in order to notify personnel.