如何正確量測負載狀態是改善電力品質問題的首要工作，建立有效且正確的數據分析是相當重要的。為即時、有效地計算出電力量，本論文將離散小波轉換技術實現於現場可程式規劃閘陣列(Field Programmable Gate Array,FPGA)上。首先，分析負載電壓及電流波形資料的原始頻帶以得到子頻帶，再利用子頻帶資料根據IEEE Standard 1459-2010電力量的定義來計算電力數量。最後比較FPGA端與Matlab端計算結果之差異性，其絕對值誤差值都小於1.1%。本論文各項計算結果除了使用理想的測試訊號外，也利用鋼鐵廠現場實測資料驗證，故各項研究數據都具有實用價值及可信度。電力量計算結果期望能應用於各項電力品質管制與改善。

To improve the problems of power quality, the load measurements become the first priority, and then to establish an effective and accurate data analysis method is an important work.In this thesis, in order to effectively calculate the electric power quantity, the technology of discrete wavelet transform is accomplished on the Field Programmable Gate Array. Firstly, we analyzed the original bands of the load voltage and current waveforms to get the sub-bands. The data of sub-bands are used to calculate power quantities according to the IEEE Standard 1459-2010. Finally, the difference of the results between FPGA and Matlab is compared. The max error is less than 1.1%.This study not only used the ideal signals to test accuracy, but also used the measurement data from a steel plant to confirm the feasibility. Therefore, the research is practical and credible. The results of electric power calculation can be applied to control and improve the power quality.

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