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電力系統故障的微弱信號檢測方法的研究
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煙臺新地置業(yè)有限公司,山西省晉中市太谷縣山西農業(yè)大學(xué),,

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中圖分類(lèi)號:

TN912.35

基金項目:

國家自然科學(xué)基金項目(面上項目,重點(diǎn)項目,重大項目),國家高技術(shù)研究發(fā)展計劃(863計劃)


Research on weak signal detection method for power system fault
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Affiliation:

Yantai new land properties Ltd,,,

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan);The National High Technology Research and Development Program of China (863 Program)

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    摘要:

    為了確保電力系統能夠安全穩定的運行,實(shí)時(shí)檢測故障中的微弱信號。通過(guò)噪聲干擾情況下微弱信號的不同變化進(jìn)行研究,得到了一種微弱信號的DUFFING混沌檢測模型。系統發(fā)生故障時(shí)會(huì )產(chǎn)生相應的微弱信號,運用DUFFING混沌振子法分析不同情況下微弱信號的時(shí)域波形和相平面軌跡變化規律,并建立數學(xué)檢測模型,對其幅值進(jìn)行混沌檢測仿真。結果表明,當r=0.8264V,w=1rad/s時(shí)將白噪聲和微弱正弦信號同時(shí)加入后,此時(shí),混沌狀態(tài)、大尺度周期狀態(tài)的相平面運行軌跡依然在進(jìn)行有規律的運行,可以清晰的觀(guān)察出需要檢測的微弱信號。在強噪聲存在于系統中時(shí),該方法明顯克服了噪聲對信號穩定性的干擾,能精確有效檢測微弱信號。系統在應對不同工作環(huán)境、儀器設備老化等情況時(shí),提高了檢測效率,保證系統的穩定運行。

    Abstract:

    In order to ensure that the power system operate safely and reliably, and make the fault detection on real-time. According to the study on the noise of different changes of weak signal, We put forward a model of DUFFING chaotic detection for weak signal. When The system is failure,it occurs the corresponding weak signal, through the DUFFING chaotic oscillator method to analyse time domain waveform of weak signal,which under different conditions and phase plane trajectory variation. Then establish the corresponding detection mathematical model, and simulate the amplitude of chaotic detection. The results show that when r=0.8264V, w=1rad/s, then add white noise and weak sinusoidal signal at the same time, the phase plane trajectory of chaotic state and large scale periodic state is still in regular operation, which can clearly observe the detected signals. If there is the the strong noise in the system, this method will overcome the interference of noise to signal stability, will accurately and effectively detect weak signals. When the system response to different working environment and equipment aging situation, The method improve the weak signal detection efficiency and ensure stable operation of the system.

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引用本文

劉積慧,劉振宇,楊政,武志強.電力系統故障的微弱信號檢測方法的研究計算機測量與控制[J].,2018,26(1).

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  • 收稿日期:2017-08-01
  • 最后修改日期:2017-08-26
  • 錄用日期:2017-08-28
  • 在線(xiàn)發(fā)布日期: 2018-02-02
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