近年來由於非線性負載之廣泛使用，供電品質似有惡化之趨勢，因此如何辨識異常的電力擾動訊號及維持穩定之供電品質已愈趨重要。本文之研究主旨即應用場規劃邏輯閘陣列於S轉換電力品質分析之硬體實現，希冀藉由場規劃邏輯閘陣列之設計技巧及S轉換之時頻定位能力，可迅速掌握電力擾動訊號之時頻分佈。本研究首先以虛擬儀測系統軟體，進行S轉換演算法於其相關電力擾動訊號鑑別之可行性佐證，且續輔以場規劃邏輯閘陣列及針對S轉換演算法，提出相對之VLSI演算架構。又為驗證本研究方法之實用性，本文已經由電壓中斷，電壓驟降、電壓突昇及電壓諧波等模擬訊號測試及分析，予以證實其時頻定位之能力，此測試成果應可供電力工程人員於面臨各項電力訊號時，達成更具效能之掌控。

　　With the increased utilization of nonlinear loads at demand side, the quality of supplying power is getting worse nowadays. Therefore, in this thesis, the main purpose lies in the field programmable gate array realization of S-transform and its application to power quality analysis. It is expected that through the time-frequency localization capability of S-transform, the time-frequency distribution of electric power disturbances can be better grasped. In the study, the virtual instrument system was also employed to visualize the disturbance variation. Meanwhile, the VLSI structure was implemented for the S-transform computation using field programmable gate array, where several modules were designed to facilitate the disturbance identification. In order to confirm the feasibility of such an approach, several disturbances including voltage interruption, voltage sag and voltage swell were all simulated and tested. Test results help support the time-frequency localization capability exhibited by the proposed approach. These outcomes can be also served as useful references for electric power engineers in the power quality improvement study.

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