本文關(guān)鍵詞：電力系統(tǒng)低頻振蕩辨識(shí)及相關(guān)算法研究　出處：《天津大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電力系統(tǒng)穩(wěn)定 低頻振蕩 Prony算法 高階累積量

【摘要】：近年來,電力系統(tǒng)規(guī)模不斷擴(kuò)大,電網(wǎng)間互聯(lián)不斷增多,同時(shí),發(fā)電機(jī)多使用快速勵(lì)磁系統(tǒng)卻多缺乏彼此協(xié)調(diào),這都為低頻振蕩的發(fā)生埋下了隱患。系統(tǒng)弱阻尼、電網(wǎng)間互聯(lián)的弱聯(lián)系、快速勵(lì)磁系統(tǒng)的應(yīng)用以及系統(tǒng)重負(fù)荷都成為低頻振蕩發(fā)生的原因。國(guó)內(nèi)外也對(duì)低頻振蕩進(jìn)行了深入的研究,WAMS/PMU系統(tǒng)可在線提供電力系統(tǒng)運(yùn)行中發(fā)電機(jī)、線路、變壓器、負(fù)荷等元件的各項(xiàng)運(yùn)行數(shù)據(jù),為低頻振蕩的在線分析提供了幫助。Prony算法假設(shè)任何時(shí)間序列均由一系列具有一定振幅、相位、頻率和衰減因子的指數(shù)函數(shù)的線性組合構(gòu)成,能夠直接提取對(duì)應(yīng)振蕩信號(hào)的特征,為振蕩模式和阻尼分析提供了可能,已在電力系統(tǒng)低頻振蕩、負(fù)荷動(dòng)態(tài)模型、阻尼控制等方面得到了廣泛研究。但Prony算法在對(duì)信號(hào)進(jìn)行分析處理時(shí)對(duì)噪聲較為敏感,這是限制Prony算法發(fā)展的重要問題。本文研究的目的,是希望利用高階累積量技術(shù),來提高已有Prony算法在進(jìn)行低頻振蕩分析時(shí)的抗噪聲能力。高階累積量是現(xiàn)代信號(hào)處理的一種重要且有效的數(shù)學(xué)工具,是高階統(tǒng)計(jì)量中的一種。由于任何高斯過程的高階累積量均等于零,高階累積量在理論上可完全抑制高斯噪聲,比傳統(tǒng)的基于功率譜或相關(guān)函數(shù)的方法具有更好的抗噪性能。針對(duì)Prony算法抗噪性能差和高階累積量能夠抑制高斯噪聲的特點(diǎn),本文提出了一種基于高階累積量的改進(jìn)Prony算法,用于電力系統(tǒng)的低頻振蕩分析中,即將高階累積量與Prony算法相結(jié)合來提高后者進(jìn)行低頻振蕩分析時(shí)的抗噪能力。通過典型含噪信號(hào)和New England 39節(jié)點(diǎn)算例系統(tǒng)的仿真驗(yàn)證了所提方法在含有噪聲條件下的低頻振蕩在線分析中的正確性和有效性。
[Abstract]:In recent years, the scale of power system continues to expand, the interconnection between power grids is increasing, at the same time, the generators often use fast excitation system, but more lack of coordination with each other. These are hidden dangers for the occurrence of low frequency oscillations. Weak damping of the system and weak interconnection between power grids. The application of fast excitation system and the heavy load of the system have become the cause of low frequency oscillation, and the low frequency oscillation has also been deeply studied at home and abroad. The WAMS/PMU system can provide the running data of generators, lines, transformers, loads and other components in the power system. For the on-line analysis of low frequency oscillation, the. Prony algorithm assumes that any time series is composed of a series of linear combinations of exponential functions with certain amplitude, phase, frequency and attenuation factor. The characteristics of corresponding oscillation signals can be extracted directly, which provides the possibility for oscillation mode and damping analysis, and has been used in power system low-frequency oscillation and load dynamic model. Damping control has been widely studied, but the Prony algorithm is sensitive to noise in signal analysis and processing, which is an important problem limiting the development of Prony algorithm. It is hoped that the high-order cumulant technique will be used to improve the anti-noise ability of the existing Prony algorithm in low-frequency oscillation analysis. High-order cumulant is an important and effective mathematical tool for modern signal processing. Because the higher order cumulant of any Gaussian process is equal to zero, the high order cumulant can completely suppress Gaussian noise in theory. Compared with the traditional methods based on power spectrum or correlation function, the Prony algorithm has better anti-noise performance and higher order cumulant can suppress Gao Si noise. This paper presents an improved Prony algorithm based on higher-order cumulants for low frequency oscillation analysis of power systems. The high order cumulant is combined with the Prony algorithm to improve the anti-noise ability of the latter in the analysis of low frequency oscillation. Typical noise-containing signals and New England. The simulation of 39-bus system verifies the correctness and validity of the proposed method in the on-line analysis of low-frequency oscillation with noise.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM712

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 鮑顏紅;王永昆;方勇杰;徐偉;彭慧敏;;基于廣域測(cè)量信息和直流功率支援的低頻振蕩抑制方法[J];電力系統(tǒng)自動(dòng)化;2013年21期

2 胡楠;李興源;李寬;穆子龍;朱瑞可;;基于四階混合平均累計(jì)量的矩陣束算法在低頻振蕩在線辨識(shí)中的應(yīng)用[J];中國(guó)電機(jī)工程學(xué)報(bào);2013年07期

3 王家林;夏立;吳正國(guó);楊宣訪;;采用改進(jìn)Prony算法的電力系統(tǒng)故障暫態(tài)信號(hào)分析[J];電力自動(dòng)化設(shè)備;2012年07期

4 徐偉;鮑顏紅;徐泰山;劉韶峰;鄭偉;曹璐;李建華;;電力系統(tǒng)低頻振蕩實(shí)時(shí)控制[J];電力自動(dòng)化設(shè)備;2012年05期

5 宋墩文;楊學(xué)濤;丁巧林;馬世英;李柏青;王青;;大規(guī)�；ヂ�(lián)電網(wǎng)低頻振蕩分析與控制方法綜述[J];電網(wǎng)技術(shù);2011年10期

6 舒進(jìn);張保會(huì);郝治國(guó);汪成根;薄志謙;;基于變速風(fēng)電場(chǎng)控制的電力系統(tǒng)穩(wěn)定性改善研究[J];中國(guó)電機(jī)工程學(xué)報(bào);2011年16期

7 王輝;蘇小林;;基于機(jī)組相關(guān)性的低頻振蕩多信號(hào)分類Prony分析[J];電網(wǎng)技術(shù);2011年06期

8 趙靜;何正友;賈勇;錢清泉;;基于高階累積量的暫態(tài)電能質(zhì)量擾動(dòng)分類研究[J];電網(wǎng)技術(shù);2011年05期

9 楊黎暉;馬西奎;;雙饋風(fēng)電機(jī)組對(duì)電力系統(tǒng)低頻振蕩特性的影響[J];中國(guó)電機(jī)工程學(xué)報(bào);2011年10期

10 楊德昌;C.Rehtanz;李勇;唐巍;屈瑞謙;;基于改進(jìn)希爾伯特 黃變換算法的電力系統(tǒng)低頻振蕩分析[J];中國(guó)電機(jī)工程學(xué)報(bào);2011年10期

，

本文編號(hào)：1432990