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基于simulink的SVC与SVG的仿真

于 2020-12-01 发布
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基于simulink的SVC与SVG的仿真,通过仿真分析他们的有缺点。《电气开关》(2009No4)90.3SVGSVCSVGSVC0.2smu link SVc SVg1.00-0.2SVC SVGEsmu lnkSVC SVG-0.8SVC SVG0.20.40.600.20.40.60100MVASVG0.2s0.38 SVG SVC9 SVGSVC SVG,三三CTCREquiv 500kvBI L1300kmL2300kmEquiv 500kV3000MVA2500MVASR TCT35711FaultSVCsvG mlmlSVGMWPWM100MVAFaultSVG711图5SvG的仿真电路图Svc Power System丰三:linkEquiv 500kBI LI30OkmB5L2300kmB6Equiv, 500kV2500MVASVG SVCSVGCSVG(Phasor type)OVG图6SVC的仿真电路图SVCVm vteSVGOm Oref(pu)SVGQrefVQ STATCOMs1]翁利民,张莉.SC与SVG的比较研究[J.冶金动力,2005(5):svC(magenta)jQm(pu)Power SystemSTATCOM (yellow)[2]周建丰,顾亚琴,韦寿祺.SVC与 STA TCOM的综合比较分析[J电力自动化设备,200727(12):57-60图7SvG和SVC动作特性的测量[3]杨恒,屠元吉,孟庆余,SVC无功补偿技术在济钢热连轧的应用0.2~0.3sJ.电气传动,200838(3)4]刘隽,李兴源,汤广福.SC电压控制与阻尼调节间的相互作用机71%SVC理[J.中国电机工程学报,200828(1):12-1769%0.2~[5]刘方蓝,林莉,牟道槐. STAT COM抑制电压波动和闪变的分析G「J.重庆大学学报(自然科学版),200730(2):34-36pu↓0.48p2008-11-12(1984-),GSVCo1994-2012ChinaACademicJournalElectronicPublishingHouse.alLrightsreservedhttp:/www.cnki.net

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This tool is intended to foster collaboration, increase awareness, and reduce develoContentsMain Page1.1 Contents1.2 Overview1.3 Building GNSS- SDR2351.3.1 Debug and release builds1.3.2 Updating GNSS-SDR1.4 Using GNSS-SDR51.5 Control plane1.5.1 Configuration61.5.2 GNSS block factory1.6 Signal Processing plane1.6.1 Signal Source1.6.2 Signal Conditioner1.6.3 Channel1.6.3.1 Acquisition1.6.3.2 Tracking101.6.3.3 Decoding of the navigation message11.6.4 Observables121.6.5 Computation of Position, velocity and Time121.7 About the software license1.8 Publications and Credits131.9 Ok. now what?14CONTENTS2 Reference Documents152.1 Interface Control Documents152.1.1GPs2.1.2 GLONASS152.1.3Gai152.1.4 beiD2.1.5 Satellite Based Augmentation Systems(SBAS)2.2 Other Standards2.2.1R|NEX172.2.2 NMEA22.3KML.2.2.4 C++ Standards182.2.5 Positioning protocols in wireless communication networks183 Signal model193. 1 GNSS signal model1.1 Global Positioning System(GPS)signal in space3.1.2 GLONASS signal in 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    基于MATLAB复调制ZOOM-FFT算法的分析和实现2006年第4期舰船电子工程121滤波;使用函数来实现傅立叶变换次复数乘法。设数字滤波器的阶数为K,滤波器系数离线生成,则滤波需要DNK次复数乘法,则总4 Matlab仿真和验证的运算量为为验证上述算法及分析过程的正确性,在MatZFFTNloN+2N+DN·K(3)中产生一个正弦组合信号3随着细化倍数的增加,基带FFT和ZFFT的运算量x(t)=30cos(2m110t)+30cos(2x11145t)都会大幅度增加;zFF只有当细化频带较窄(此时+25cos(2x112.3t)+48cos(2m113.8t)无需数字滤波)或长序列的情况下,与基带FT相+50co(2x114.5t)比才具有运算量上的优势。分别利用基带FT和ZT对其进行谱分析ZFT算法存在自身的局限性,其存在的问题仿真条件:f=2048H,F点数N=1024,细化倍数D=50。基带FFT的频率分辨率4f=2H,历如下:(1)需要存放中间数据的内存空间巨大限制ZF的频率分辨率△f=0.04H。仿真结果如图了最大细化倍数2和图3所示。(2)采用具有线性相位的FIR数字滤波器实igure(n现抗混叠滤波,由于有限阶滤波器的吉布斯效应( Gibbs effect),滤波器截止频率处的频谱不可避免020040060080010001200会出现局部失真。(3)细化倍数越高,重釆样的选抽比越高,则细化带宽越窄。当需要细化的带宽较大时,必须进5行多次细化,这势必会增加计算量。Figure(4)频率成分调整较复杂。将FT和谱分析105110115130得到的频率成分调整到所选频带的频率成分式较Frequency(Hz复杂的过程,特别是为了避免低通抗混滤波器的边图3FF幅值频谱缘误差造成的频率混叠为了比较频率细化的效果,对图中谱线作了归化处理。图2中fgme(a)为原始信号,fgme(c)6小结为基带FYT处理后的幅值谱线,fgre(d)为移频后ZFT算法的关键在于利用傅立叶变换的移频基带FFT处理后的幅值谱线。由此图可以看出,基特性将感兴趣的高频段频率移至频谱原点,降低采带FFT的几个谱峰叠加为一个谱峰,各频率成分不可分辨。图3中fge(g)为重新采样后F处理样率重新釆样,从而获取较高的频率分辨率。它对后的幅值谱线,gure(h)为频率调整到实际频率处于获得某些特殊频段而不是整个带宽的信号细微的幅值谱线。此图中,因频率分辨率降低了D倍谱结构十分有用。该算法在实际工程技术中有较zF的幅值谱线中5条谱线清晰可见,说明ZF广泛的应用效果明显。参考文獻5ZF运算量和局限性讨论[1]胡广书.数字信号处理-理论、算法与实现[M]北京:清华大学出版社,1997当采用时域抽取FFT算法时,N点DT的复数[2] Vinay K ingle, John g proakis.数字信号处理及其乘法次数为l2N,复数加法次数为NN。为MATLAB实现[M].北京:电子工业出版社,1998[3]赵霞,熊小伏,郭珂.用细化频谱技术分析断路器简单起见,仅比较两种算法的复数乘法次数。操动机构振动信号[J.电力系统自动化,2003,(12):37设频率分辨率4f=fN,细化倍数D=△/404」f。要获得4/的分辨率,基带FFT的运算量为[4]丁康,谢明,张彼德等.基于复解析带通滤波器的FrTdN)lo复调制细化谱分析原理和方法[J.振动工程学报,2001,62(D14(1):30~35采用ZF算法,在复调制时只计算重采样的[5]宗孔德.多抽样率信号处理[M].北京:清华大学点,需N次复数乘法。同样,调制系数的计算也需N出版社,19基于 MATLAB复调制Z00M-FT算法的分析和实现旧WANFANG DATA文献链接作者:王力,张冰,徐伟, Wang li, Zhang bing, Xu Wei作者单位:王力,张冰, Wang Li, Zhang bing(江苏科技大学,镇江,212003),徐伟, Xu Wei(船舶系统工程部,北京,100036)刊名:舰船电子工程英文刊名SHIP ELECTRONIC ENGINEERING年,卷(期)2006,26(4)被引用次数:次参考文献(5条)1.宗孔德多抽样率信号处理19962.丁康;谢明;张彼德基于复解析带通滤波器的复调制细化谱分析原理和方法[期刊论文]振动工程学报2001(013.赵霞;熊小伏;郭珂用细化频谱技术分析断路器操动机构振动信号[期刊论文]电力系统自动化2003(12)4.陈怀琛数字信号处理教程- MATLAB释义与实现19985.胡广书数字信号处理一理论、算法与实现1997本文读者也读过(6条江波.唐普英基于复调制的ZooⅷFFT算法在局部频谱细化中的研究与实现[期刊论文]-大众科技2010(7)2.丁康.谢明.张彼德.赵玲.张晓飞. Ding Kang. Xie ming. Zhang bide. Zhao ling. ZHANG Xiaofei基于复解析带通滤波器的复调制细化谱分析原理和方法[期刊论文]-振动工程学报2001,14(1)3.罗利春. LUo Lic- hun zoom-FFT的改进、频谱反演与时-频局部化特性[期刊论文]-电子学报2006,34(1)4.戴振华.纪海林.徐运涛.DAⅠZhen-hua. JI Hai-1in.ⅫUYun-taoZ00MFFT算法在数字音频分析仪中的实现[期刊论文]-兵工自动化2007,26(10)5.黄镔.许婧.高峰.束洪春Z0OM-FFT在水电机组振动信号分析中的应用[期刊论文]-昆明理工大学学报(理工版)2002,27(5)6.王卫江改进的自适应Zoom-FFT算法研究[期刊论文]一电子技术应用2006,32(7)证文献(10条1.程兆刚.唐力伟.张淑琴.曹洪娜基于复调制Z0OM-FFT算法下阻尼比识别的研究[期刊论文]计算机与数字工程2012(1)2.刘树强.罗天.王宁.潘栋基于 Labview的异步电机转子断条检测[期刊论文]电子设计工程2011(3)3.王文森.邱宏安高精度超声流量检测系统设计[期刊论文]电声技术2011(2)4刘树强.罗天.谭兴文基于 Labview的笼型异步电动机转子断条故障在线检测系统[期刊论文]西南大学学报:自然科学版2011(9)5.王乐.苏小敏.杜林.李春化复白噪声中复正弦波频率估计方法硏究[期刊论文]火控雷达技术2011(36.周红霞.江佩勤.伍洲基于嵌入式系统的ZFFT移频轨道检测算法[期刊论文]通信技术2010(37.焦玮琦.陈特放基于局部频谱细化的轨道移频信号高精度检测[期刊论文]机车电传动2009(28.史瑞根.姚金杰基于 Labview的数字变频FFT设计[期刊论文]现代电子技术2009(7)9武中奇.杨世武丌FT算法在铁路移频信号分析中的应用及其DSP实现[期刊论文]铁道通信信号2008(7)10.时献江.张春喜.邵俊鹏异步电机断条故障诊断的细化包络方法[期刊论文]电机与控制学报2008(2)本文链接http://d.g.wanfangdata.com.cn/periodicaljcdzgc200604033.aspx
    2020-12-08下载
    积分:1
  • 短时傅立叶变换 Wigner-Ville分布 小波变换
    (一)信号一段语音信号(一个词或词组,2秒左右),采样频率应在8kHz以上。(二)要求1. 分别用MATLAB作出短时傅立叶变换、Wigner-Ville分布和小波变换的时频分布图;2. 列出公式,画出所有图谱;3. 讨论三种时频分布的结果与特点。
    2020-12-04下载
    积分:1
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