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  • 學位論文

應用小波轉換於電力擾動訊號偵測之研究

Application of Wavelet Transform to Power System Disturbance Detection

指導教授 : 謝承道

摘要


本論文應用小波轉換於監測分析台南科學園區之各種電力品質擾動現象,將各監測點所測得之實際資料加以分析,以判斷電力品質擾動之發生。利用小波轉換所提供之整體且嚴謹之信號處理架構與其時間-頻率定位特性,將能比傳統傅立葉轉換更有效率地分析各種不同之動態電力信號,並可更精確地偵測出電力品質擾動之發生時間。本文所提之方法將應用於各種台南科學園區實際量測之電力信號,以驗證本方法之可行性。

關鍵字

小波 電力

並列摘要


In this paper, the wavelet transform approach will be applied to monitor the power quality disturbances in the power system of the Tainan Science-Based Industrial Park. The wavelet theory provides a unified framework for signal processing applications. By this way, the characteristics of non-stationary disturbances can be more closely monitored. The transient behavior and discontinuities in the signals can be both investigated. For finding out the major reason of the power quality disturbances, the data collected from every monitoring point are analyzed by using the wavelet transform approach. Test results support the feasibility of this approach for the industry power application.

並列關鍵字

Wavelet Power System

參考文獻


[4]D.E. Newland, An introduction to random vibrations, spectral and wavelet analysis, Longman Scientific & Technical, New York, 1993
[5]Stephane G. Mallat, A theory for multiresolution signal decomposition:the wavelet representation, Scientific DataLink, New York, 1987
[6]Lokenath Debnath (editor), Wavelet transforms and time-frequency signal analysis, Birkhuser, Boston, 2001
[8]Y. Meyer, Wavelets : algorithms & applications, Society for Industrial and Applied Mathematics, Philadelphia, 1993.
[10]S. Mallat, “A Theory for Multiresolution Signal Decomposition: the Wavelet Representation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 7, July 1989, pp. 674-693.

被引用紀錄


林文祥(2008)。應用平行運算於小波轉換分析電力品質信號〔碩士論文,崑山科技大學〕。華藝線上圖書館。https://doi.org/10.6828/KSU.2008.00070
承江永(2006)。結合小波轉換與類神經網路於偵測孤島效應之研究〔碩士論文,崑山科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0025-0306200810414639

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