使用類神經網路在非侵入式 負載監測系統的負載辨識效能最佳化
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使用類神經網路在非侵入式 負載監測系統的負載辨識效能最佳化. 指導老師：凌拯民 博士 學生：吳佩皇. 大綱. 一、摘要 二、問題描述 三、理論基礎 四、研究方法 五、結論. 一、摘要. 微型電網可以增加再生能源的使用，並且可避免分散式電源在電力系統中的電力滲透。因為電力公司無法在微型電網的每個負載安裝先進的儀表，所以在共同耦合點進行負載監測對電力公司而言是相當重要的。因此，本研究利用類神經網路來提出一種新式的非侵入式負載監測方法，於共同耦合點上量測的基頻成份、特徵性諧波電流及電壓來當作類神經網路的輸入值。 - PowerPoint PPT PresentationTRANSCRIPT
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