【摘要】：為了及時(shí)監(jiān)測配電網(wǎng)運(yùn)行情況進(jìn)而快速準(zhǔn)確甄別配電網(wǎng)的正常、異常以及故障狀態(tài),提出基于小波包時(shí)間熵的配電網(wǎng)運(yùn)行狀態(tài)特征提取方法,給出其小波基函數(shù)、分解層數(shù)和尺度、時(shí)間窗等相關(guān)參數(shù)的選擇規(guī)范,分析該小波熵對(duì)系統(tǒng)狀態(tài)表征的機(jī)理。搭建典型配電網(wǎng)模型,針對(duì)各種運(yùn)行工況下典型配電網(wǎng)運(yùn)行狀態(tài)進(jìn)行模擬仿真,仿真結(jié)果表明,所提方法能夠正確區(qū)分配電網(wǎng)典型運(yùn)行狀態(tài),并且不受網(wǎng)絡(luò)拓?fù)�、線路類型、故障類型、故障時(shí)刻、故障位置、過渡電阻等因素的影響,具有較好的適應(yīng)性。
[Abstract]:In order to monitor the operation of distribution network in time and quickly and accurately identify the normal, abnormal and fault state of distribution network, a method based on wavelet packet time entropy is proposed to extract the characteristics of distribution network operation state, and its wavelet basis function is given. The parameters of decomposition layer, scale, time window and so on are selected, and the mechanism of the wavelet entropy to represent the state of the system is analyzed. The simulation results show that the proposed method can correctly distinguish the typical operation state of distribution network and is not subject to network topology and line type. Fault type, fault time, fault location, transition resistance and other factors have good adaptability.
【作者單位】： 廣東電網(wǎng)公司電力科學(xué)研究院;武漢大學(xué)電氣工程學(xué)院;
【基金】：國家自然科學(xué)基金面上項(xiàng)目(51277135) 南方電網(wǎng)公司重點(diǎn)科技項(xiàng)目(K-GD2012-343)~~
【分類號(hào)】：TM732

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本文編號(hào)：2390873