本文選題：次同步振蕩 + 模態(tài)辨識(shí)　； 參考：《哈爾濱工業(yè)大學(xué)》2017年碩士論文

【摘要】：考慮到我國(guó)的能源與負(fù)荷分布不均問(wèn)題,大規(guī)模的遠(yuǎn)距離輸電已經(jīng)成為我國(guó)解決此問(wèn)題的一種行之有效的手段。但是,遠(yuǎn)距離輸電的大規(guī)模應(yīng)用同樣使得次同步振蕩問(wèn)題成為威脅電力系統(tǒng)穩(wěn)定的重要隱患。近年來(lái),我國(guó)已多次發(fā)生了次同步振蕩現(xiàn)象。在對(duì)次同步振蕩的分析中,基于量測(cè)信號(hào)的模態(tài)辨識(shí)一直是一個(gè)重要的研究方向。本文旨在結(jié)合Duffing理論與頻率切片小波變換(FSWT)實(shí)現(xiàn)次同步振蕩模態(tài)辨識(shí),該算法可以準(zhǔn)確地辨識(shí)出發(fā)生次同步振蕩的模態(tài),并對(duì)噪聲有較好的免疫效果。本文首先考慮到經(jīng)典Duffing振子理論在辨識(shí)信號(hào)方面的缺陷,提出了利用雙耦合Duffing振子列辨識(shí)次同步振蕩的頻率。對(duì)復(fù)合衰減信號(hào)和次同步振蕩仿真信號(hào)在含噪和不含噪情況下進(jìn)行辨識(shí),辨識(shí)結(jié)果表明:雙耦合Duffing振子列是一種具有強(qiáng)噪聲免疫性、可以準(zhǔn)確辨識(shí)次同步振蕩信號(hào)頻率的辨識(shí)算法。然后,本文根據(jù)辨識(shí)出的次同步振蕩頻率,利用FSWT實(shí)現(xiàn)了對(duì)該頻率分量信號(hào)的擬合。對(duì)擬合出的信號(hào)分量進(jìn)行希爾伯特變換即可得到信號(hào)分量的衰減系數(shù)和阻尼比等參數(shù)。利用該算法對(duì)復(fù)合衰減信號(hào)和振蕩信號(hào)進(jìn)行擬合,結(jié)果表明FSWT是一種可以準(zhǔn)確擬合信號(hào)分量的方法,且相較Prony辨識(shí)方法有更好的噪聲免疫性。最后本文提出了利用雙耦合Duffing振子列與FSWT的次同步振蕩模態(tài)辨識(shí)算法。該算法結(jié)合了雙耦合Duffing振子列對(duì)頻率辨識(shí)的準(zhǔn)確性與FSWT可以辨識(shí)出模態(tài)衰減系數(shù)和阻尼比的優(yōu)勢(shì),實(shí)現(xiàn)了對(duì)次同步振蕩信號(hào)的模態(tài)辨識(shí)。通過(guò)該算法對(duì)發(fā)生了次同步振蕩的多機(jī)系統(tǒng)振蕩信號(hào)與電廠實(shí)測(cè)次同步振蕩信號(hào)的辨識(shí),驗(yàn)證了該算法是一種對(duì)噪聲有較好免疫性、可以準(zhǔn)確辨識(shí)出次同步振蕩振蕩模態(tài)的算法,經(jīng)進(jìn)一步完善具有工程應(yīng)用價(jià)值。
[Abstract]:Considering the uneven distribution of energy and load in our country, large-scale long-distance transmission has become an effective means to solve this problem in our country. However, the large-scale application of long distance transmission also makes the sub synchronous oscillation an important threat to the stability of the power system. In recent years, China has taken place many times. Synchronous oscillation phenomenon. In the analysis of sub synchronous oscillation, modal identification based on measurement signal is always an important research direction. This paper aims to realize the subsynchronous oscillation mode identification with Duffing theory and frequency slice wavelet transform (FSWT). This algorithm can identify the modes of the initial synchronous oscillation and the noise. In this paper, we first consider the defects of the classical Duffing oscillator theory in the identification signal, and propose a double coupling Duffing oscillator to identify the frequency of subsynchronous oscillation. The identification of the compound attenuation signal and the subsynchronous oscillation simulation signal in the noise and non noise conditions is carried out. The identification results show that the dual coupling Duff is two coupling. The ing oscillator column is an identification algorithm with strong noise immunity and can accurately identify the frequency of subsynchronous oscillation signal. Then, based on the identified subsynchronous oscillation frequency, the fitting of the frequency component signal is realized by using FSWT. The signal component can be attenuated by the Hilbert transform of the fitted signal component. The coefficients and damping ratios are used to fit the compound attenuation signal and the oscillating signal. The results show that FSWT is a method to accurately fit the signal components and has better noise immunity compared with the Prony identification method. Finally, the subsynchronous oscillation mode of the dual coupled Duffing oscillator column and the FSWT is proposed. The algorithm combines the accuracy of frequency identification with the dual coupled Duffing oscillator and the advantage of FSWT to identify the modal attenuation coefficient and damping ratio, and realizes the modal identification of the sub synchronous oscillation signal. It is proved that the algorithm is a kind of algorithm that has good immunity to noise and can identify the oscillation mode of sub synchronous oscillation accurately, and it has the value of engineering application after further improvement.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM712

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