【摘要】：能源緊缺和環(huán)境污染如今已成為全世界需要面臨的嚴峻問題,風力發(fā)電作為發(fā)展最快的清潔能源越來越受到發(fā)電行業(yè)的重視,然而伴隨著風力發(fā)電在電網(wǎng)中比率的增大,風力并網(wǎng)所帶來的電壓暫態(tài)擾動也日益凸顯,它不僅影響到精密儀器的使用,還會對人們的日常用電產(chǎn)生很大的危害,甚至嚴重的會造成電網(wǎng)癱瘓。于是對于風電并網(wǎng)引起的電壓擾動的檢測和分析也就成為研究風電并網(wǎng)的重要研究部分。本文對風電并網(wǎng)引起的電壓擾動信號進行分析,并研究了檢測和識別暫態(tài)電壓擾動信號的方法。本文首先分析了風電并網(wǎng)系統(tǒng)引起暫態(tài)電壓擾動的原因,并建立風電并網(wǎng)系統(tǒng)的仿真模型,分別對風速變化、風機切入切出及負載變化情況對風電并網(wǎng)電壓的影響作出仿真分析,得出電壓擾動信號的具體類型。鑒于電網(wǎng)電壓常會含有噪聲,本文結合對匹配追蹤算法的迭代跳出判據(jù)進行優(yōu)化,通過仿真取得了良好的去噪效果�；谙∈璺纸獾乃枷�,本文分析了具體的暫態(tài)電壓擾動信號,針對其特點構造了風電并網(wǎng)電壓擾動原子庫,減少了信號分解時的計算量,提高了匹配追蹤的速度。通過MATLAB/Simulink仿真,驗證了該方法的快速性和有效性。該方法不僅對擾動信號準確分類,并且同時實現(xiàn)了擾動信號的定位和參數(shù)估計,辨識方法簡單有效,精度較高。
[Abstract]:Energy shortage and environmental pollution have become a serious problem in the world today, and wind power generation, as the fastest-growing clean energy, is more and more important to the power generation industry, but with the increase of the ratio of wind power generation in the power grid, The voltage transient disturbance brought by the wind power grid is also becoming more and more prominent, which not only affects the use of precision instruments, but also can cause great harm to people's daily power consumption, and even cause the power grid to be paralyzed. Therefore, the detection and analysis of the voltage disturbance caused by wind power grid has become an important research part of the research of wind power grid. In this paper, the voltage disturbance signal caused by wind power grid is analyzed, and the method of detecting and identifying the transient voltage disturbance signal is also studied. Firstly, the cause of transient voltage disturbance caused by wind power grid system is analyzed, and the simulation model of wind power grid system is established. The specific type of the voltage disturbance signal is obtained. In view of the noise of the grid voltage regular session, this paper optimizes the iterative jump-out criterion of the matching tracking algorithm, and obtains a good de-noising effect through the simulation. Based on the idea of sparse decomposition, this paper analyzes the specific transient voltage disturbance signal, and constructs a wind power grid voltage disturbance atom library for its characteristics, and reduces the calculation amount at the time of signal decomposition and improves the matching and tracking speed. The rapidity and validity of the method are verified by the simulation of MATLAB/ Simulink. The method not only accurately classifies the disturbance signals, but also realizes the positioning and parameter estimation of the disturbance signals, and the identification method is simple and effective, and the accuracy is high.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM614

【參考文獻】

相關期刊論文 前10條

1 張英杰;龔慶武;李勛;關欽月;賈晶晶;王戰(zhàn)勝;;基于PSO的原子分解法在間諧波分析中的應用[J];電力系統(tǒng)保護與控制;2013年15期

2 閔偉;周志宇;周振華;;改進型Sage-Husa卡爾曼濾波器在電壓暫降檢測中的應用[J];電網(wǎng)技術;2013年01期

3 江輝;馬強;彭建春;;基于TT變換的電能質量擾動檢測新方法[J];電測與儀表;2012年10期

4 賀益康;胡家兵;;雙饋異步風力發(fā)電機并網(wǎng)運行中的幾個熱點問題[J];中國電機工程學報;2012年27期

5 李輝;趙斌;史旭陽;王荷生;楊超;;含不同風電機組的風電場暫態(tài)運行特性仿真研究[J];電力系統(tǒng)保護與控制;2011年13期

6 劉桂英;粟時平;;風電接入系統(tǒng)暫態(tài)電能質量擾動小波檢測方法[J];電力系統(tǒng)及其自動化學報;2011年01期

7 陳繼開;李浩昱;吳建強;楊世彥;寇寶泉;;非廣延小波熵在電力系統(tǒng)暫態(tài)信號特征提取中的應用[J];中國電機工程學報;2010年28期

8 黃奐;吳杰康;;基于經(jīng)驗模態(tài)分解的電能質量擾動信號定位方法[J];電網(wǎng)技術;2010年05期

9 浣威;涂春鳴;程瑩;羅安;孫娟;帥智康;;高壓配電網(wǎng)電能質量綜合補償系統(tǒng)[J];電力自動化設備;2010年04期

10 馮浩;周雒維;劉毅;;基于復小波變換的暫態(tài)電能質量擾動檢測與分類[J];電網(wǎng)技術;2010年03期

相關博士學位論文 前1條

1 潘文霞;大型風電場電壓穩(wěn)定性分析與控制研究[D];河海大學;2004年

相關碩士學位論文 前1條

1 吳俊玲;大型風電場并網(wǎng)運行的若干技術問題研究[D];清華大學;2004年

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