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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/6382

    Title: 分散式電源併入市電網路之控制及運轉品質之提升-子計畫二:應用Meyer小波轉換於分散式電源系統之獨立運轉檢測
    Authors: 謝承道
    Keywords: 分散式發電系統
    dispersed power generation system
    independent operation
    Meyer walvelet transform
    Date: 2007-07-31
    Issue Date: 2009-12-30 12:10:26 (UTC+8)
    Abstract: 分散式發電系統與市電並聯時,除了需考慮同步化技術外,其中最重要者,尚需考慮分散式電源獨立運轉現象的檢測。相較於傅立葉轉換,小波理論則架構了另一種訊號分析之模式,可更精確地觀測動態訊號之暫態行為。除此之外,由於訊號之時-頻資訊可同時由連續小波轉換掌握,在故障偵測及鑑別之效能,更受肯定。因此,本計畫即研究一新式分散式發電系統獨立運轉現象偵測法,並擬融合主動型與被動型偵測技術,以建構混合型獨立運轉檢測專用保護電驛,達到快速及正確檢知系統獨立運轉之目標。本計畫以Meyer小波轉換技術分別對電壓及頻率進行運算及解析,進而掌握市電運轉或解聯之狀態,以有助於相關保護控制對策之施行。Recently, due to the rapid decrease in fossil fuels, percentage of the installation of dispersed small-scaled generators is increasing. The dispersed units, such as battery energy storage system, residential photovoltaic system, wind generation, and cogeneration, have been operated effectively in parallel with utility networks. One of critical concerns in the operation of grid-connected dispersed power generation systems is the occurrence of independent operation. Wavelet theory provides a unified framework for signal processing applications. By this way, the characteristics of non-stationary signal can be more closely monitored. In this project, the Meyer wavelet transform combined with passive and active method is applied to detect the independent operation. A Meyer wavelet basis function will be embedded to ensure the expected computational performance. The proposed approach will be tested on various scenarios. From these test results, the feasibility and effectiveness of the approach are shown.
    Appears in Collections:[電機工程系所] 研究計畫

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