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基于模板濾波的居民負荷非侵入式快速辨識算法

發(fā)布時間:2018-05-19 01:04

  本文選題:非侵入負荷監(jiān)測 + 負荷辨識。 參考:《電力系統(tǒng)自動化》2017年02期


【摘要】:以電流信號的頻域分析為基礎(chǔ),結(jié)合非侵入監(jiān)測負荷運行的電流模型,利用單獨作用時電流信號的頻譜分量會完整包含于混合電流頻譜中,提出一種基于模板濾波的居民負荷非侵入式快速辨識算法。通過先驗方式獲取用電網(wǎng)絡(luò)各負荷的特征電流形成特征濾波器,對其頻譜分量進行0-1賦值得到對應(yīng)的模板濾波器。利用模板濾波器對非侵入采集模式下的混合電流信號濾波,通過對濾波后頻率分量的量化判決確定負荷的運行狀態(tài)。利用實際采集的用電數(shù)據(jù)驗證了該算法的有效性,能夠準確判斷負荷運行狀態(tài)。此外,算法利用快速傅里葉變換(FFT)即可實現(xiàn),便于實際中硬件封裝。
[Abstract]:Based on the frequency domain analysis of the current signal and the current model of non-intrusive monitoring load operation, the spectrum components of the current signal will be completely included in the mixed current spectrum when the current signal is acted on alone. A fast identification algorithm of resident load based on template filter is proposed. The characteristic current forming characteristic filter of each load of electric network is obtained by a priori method, and the corresponding template filter is obtained by 0-1 assignment of the spectrum component of the filter. The mixed current signal in the non-intrusive acquisition mode is filtered by the template filter, and the operation state of the load is determined by quantifying the frequency component after the filter. The validity of the algorithm is verified by the actual data collected, and the load state can be judged accurately. In addition, the algorithm can be realized by fast Fourier transform (FFT), which is convenient for hardware encapsulation.
【作者單位】: 華北電力大學(xué)電氣與電子工程學(xué)院;
【基金】:國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2015AA050203) 中央高校基本科研業(yè)務(wù)費專項資金資助項目(2016MS13)~~
【分類號】:TM76;TM933.4
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本文編號:1908004

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