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

【摘要】：考慮到我國的能源與負荷分布不均問題,大規(guī)模的遠距離輸電已經(jīng)成為我國解決此問題的一種行之有效的手段。但是,遠距離輸電的大規(guī)模應用同樣使得次同步振蕩問題成為威脅電力系統(tǒng)穩(wěn)定的重要隱患。近年來,我國已多次發(fā)生了次同步振蕩現(xiàn)象。在對次同步振蕩的分析中,基于量測信號的模態(tài)辨識一直是一個重要的研究方向。本文旨在結(jié)合Duffing理論與頻率切片小波變換(FSWT)實現(xiàn)次同步振蕩模態(tài)辨識,該算法可以準確地辨識出發(fā)生次同步振蕩的模態(tài),并對噪聲有較好的免疫效果。本文首先考慮到經(jīng)典Duffing振子理論在辨識信號方面的缺陷,提出了利用雙耦合Duffing振子列辨識次同步振蕩的頻率。對復合衰減信號和次同步振蕩仿真信號在含噪和不含噪情況下進行辨識,辨識結(jié)果表明:雙耦合Duffing振子列是一種具有強噪聲免疫性、可以準確辨識次同步振蕩信號頻率的辨識算法。然后,本文根據(jù)辨識出的次同步振蕩頻率,利用FSWT實現(xiàn)了對該頻率分量信號的擬合。對擬合出的信號分量進行希爾伯特變換即可得到信號分量的衰減系數(shù)和阻尼比等參數(shù)。利用該算法對復合衰減信號和振蕩信號進行擬合,結(jié)果表明FSWT是一種可以準確擬合信號分量的方法,且相較Prony辨識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)辨識算法。該算法結(jié)合了雙耦合Duffing振子列對頻率辨識的準確性與FSWT可以辨識出模態(tài)衰減系數(shù)和阻尼比的優(yōu)勢,實現(xiàn)了對次同步振蕩信號的模態(tài)辨識。通過該算法對發(fā)生了次同步振蕩的多機系統(tǒng)振蕩信號與電廠實測次同步振蕩信號的辨識,驗證了該算法是一種對噪聲有較好免疫性、可以準確辨識出次同步振蕩振蕩模態(tài)的算法,經(jīng)進一步完善具有工程應用價值。
[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.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM712

【參考文獻】

相關(guān)期刊論文 前10條

1 楊仁樹;付曉強;楊國梁;陳駿;陳瑋;;EMD和FSWT組合方法在爆破振動信號分析中的應用研究[J];振動與沖擊;2017年02期

2 李楠;李秀坤;劉彩紅;;變幅值系數(shù)的短時Duffing振子陣列檢測方法[J];哈爾濱工程大學學報;2016年12期

3 王曉東;楊紹普;趙志宏;;基于改進型Duffing振子的微弱信號檢測研究[J];動力學與控制學報;2016年03期

4 王曉東;趙志宏;楊紹普;;基于耦合Duffing振子的微弱故障信號檢測[J];噪聲與振動控制;2016年03期

5 劉曉建;李娟;焦邵華;;奇異熵矩陣束算法及其在次同步振蕩模態(tài)參數(shù)辨識中的應用[J];電力系統(tǒng)及其自動化學報;2016年06期

6 彭莉萍;魏輝;劉桂平;張樂;;通過改進Prony算法辨識交流串補引起的次同步諧振模態(tài)參數(shù)[J];電力系統(tǒng)及其自動化學報;2015年S1期

7 牛德智;陳長興;班斐;徐浩翔;李永賓;王卓;任曉岳;陳強;;Duffing振子微弱信號檢測盲區(qū)消除及檢測統(tǒng)計量構(gòu)造[J];物理學報;2015年06期

8 趙國彥;鄧青林;馬舉;;基于FSWT時頻分析的礦山微震信號分析與識別[J];巖土工程學報;2015年02期

9 王飛;鄒紅波;柯麗娜;殷婷婷;董飛飛;朱振山;;互相關(guān)優(yōu)化改進矩陣束算法及其在次同步振蕩模態(tài)參數(shù)辨識的應用[J];南方電網(wǎng)技術(shù);2014年02期

10 劉海波;吳德偉;盧虎;王永慶;蔣文婷;;基于Duffing振子大周期態(tài)相軌跡的頻率測量方法[J];電子學報;2013年10期

相關(guān)博士學位論文 前1條

1 趙妍;電力系統(tǒng)低頻振蕩狀態(tài)監(jiān)視與分析方法研究[D];哈爾濱工業(yè)大學;2016年

相關(guān)碩士學位論文 前1條

1 李建偉;基于頻率切片小波變換的軌道交通輪軌振動信號分析[D];南京理工大學;2014年

，

本文編號：2020212