研究生: |
董冠昇 Kuan-Sheng Tung |
---|---|
論文名稱: |
以串列式方法實現非侵入式負載監測系統 Non-Intrusive Load Monitoring System Based on Cascaded Strategy |
指導教授: |
連國龍
Kuo-Lung Lian |
口試委員: |
辜志承
Jyh-Cherng Gu 李育杰 Yuh-Jye Lee 吳瑞南 Ruay-Nan Wu |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 中文 |
論文頁數: | 73 |
中文關鍵詞: | 非侵入式負載監測 、串列式分析 、線性化導納 、電壓波動 、內積運算 |
外文關鍵詞: | Non-Intrusive load monitoring system, linearized admittance, cascaded strategy, inner product |
相關次數: | 點閱:255 下載:3 |
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非侵入式負載監測系統(Non-Intrusive Load Monitoring system, NILMs)係指監測系統只需要安裝一組電壓及電流的量測器於電力入口端(Electrical Service Entry, ESE),藉由分析於電力服務端所量測到的訊號與透過各種電力特徵的萃取及負載辨識技巧,即可得知系統下各負載的狀態及使用情形。
本文提出之負載辨識演算法係利用多組電力特徵並藉由串列式分析,透過濾波器的概念得到負載辨識結果。另外,對於台灣電壓波動導致電力特徵變化,本文提出線性化導納(Linearized Admittance)預測的方法,可有效改善電力波動的影響並大幅降低電力特徵資料庫的儲存空間。對於辨識工具的選擇,本文使用內積運算(Inner Product)作為系統辨識工具,可省略事前長時間的資料訓練即可達到與傳統辨識工具類似的辨識結果。最後,由各實驗案例的負載辨識結果可知,使用本文提出之辨識演算法,將可提高系統辨識率、改善電壓波動對電力特徵的影響、降低資料庫儲存空間、提升系統效率等優點。
Non-Intrusive load monitoring systems (NILMs) can determine the operating intervals and power consumptions of electrical loads in a system from measurements made at electrical service entry (ESE) point. In contrast to the conventional monitoring system, NILMs reduce sensor costs by installing sensors only at the ESE and identifies appliances by defining their power signature.
In this thesis, we proposed a new NILM method based on cascaded strategy to enhance the power signatures and is compared with the traditional methods, which use merely one characteristic, such as the real power for power signature. Moreover, we also proposed to use the linearized admittances to reduce the influence of voltage fluctuations on power signatures and the volume of database. For load identification, the inner product was proposed in this thesis. In contrast to the conventional identification tool, inner product can reduce the time for data training and obtain good results. Finally, as experimental results show, the proposed method yields better detection rate than the conventional methods.
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