小波变换在电力系统谐波检测方面的应用

针对傅里叶变换的谐波检测方法无法同时实现时-频变域分析这一缺点,提出了小波变换这一新方法对谐波进行分析。通过小波变换对电力系统中的谐波电流进行分解,得到信号的基波分量和高次谐波分量。针对电力系统中的突变信号,提出了基于小波变换的模极大值的奇异性检测方法,通过小波变换模的极值点在多尺度上的综合表现,来表示信号的突变特征,并通过仿真实例验证该算法的有效性。     

Improved fault location algorithm for radial distribution systems with discrete and continuous wavelet analysis

This paper presents a novel wavelet based approach for fault location using voltage transient waveforms in power distribution systems. The proposed method includes two main stages. Firstly, the approximate location of the fault or fault section is determined using a new algorithm with discrete wavelet transform. The difference between arriving times of transient components in different measurement units is used for this purpose. The accurate location of the fault is determined in the second stage. Depending on the determined fault section, the difference between arriving times of transient components in different measurement units or the frequency content of the voltage transients are used. The time difference and frequency content are calculated using discrete and continuous wavelet transform (DWT and CWT) respectively. The proposed technique is implemented on an unbalanced 34 bus distribution system with two distributed generation units which is simulated in ATP–EMTP. The comparison of the results of the proposed method with previous works verifies its better accuracy and more robustness to fault conditions including fault inception angle and fault resistance.     

基于动态小波变换的电力系统故障信号分析

提出了基于动态小波变换的电力系统故障分析方法,既充分利用了小波变换在电力系统故障信号分析中的优点,又克服了分析中傅里叶算法的不足。该方法简单、可靠,便于形成实时软件,对于提高电力系统故障检测水平和保护性能具有重要意义。     

基于小波变换的电力系统短路故障分析

介绍小波变换应用在信号奇异性检测方面的基本原理,提出了基于小波变换的电力系统故障信号分析方法,既充分利用了小波变换在故障信号分析中的优点,又克服了传统傅里叶变换方法的不足.最后通过一个实例进行验证.     

基于时变AR模型和小波变换的时变参数识别

利用时变AR模型进行时变系统参数识别的一个关键问题就是虚假模态的剔除.针对利用p阶的时变AR模型所得到的p个频率值,提出用连续小波变换所得到的小波时频图来进行虚假模态的剔除.通过对一质量随时间变化的悬臂梁进行了有限元建模,运用计算所得到的振动响应建立了梁的时变AR模型并进行模态频率识别,利用所提方法进行了虚假模态的剔除...     

小波分析在系统辨识中的应用

对小波分析的主要研究方向和特点进行了介绍，综述了小波分析在系统辨识中的应用。针对不同的辨识模型，讨论了小波分析不同的应用形式，研究了小波网络在系统辨识中的应用。最后探讨了小波分析在系统辨识中的研究方向。     

基于小波包域双谱的风力机振动信号监测方法研究

文章主要基于小波域双谱的方法对风力机振动信号监测技术进行研究,以风电场多台1.5兆瓦直驱机型的大量轴承振动信号为基础,运用了一种小波包域双谱的方法对振动信号分析,并与传统双谱进行对比,实验结果表明:小波包域双谱优于双谱分析,能够准确的判断轴承正常和故障运行情况,该方法不但有效抑制噪声和其他高频成分的干扰,而且具有双重消噪的效果,有效地避免了小波分析和传统双谱分析的缺点,为在线监测异常状况预警提供了很好的依据。     

Enhancement of islanding-detection of distributed generation systems via wavelet transform-based approaches

In this paper, a wavelet transform-based approach is proposed to detect the occurrence of islanding events in distributed generation systems. Thanks to time–frequency localization capabilities exhibited by wavelet transform, the approach embedded with this transform technique has grasped the appearance of the islanding event in a highly effective manner. Moreover, for those regions which are in need of a better visualization, the proposed approach would serve as an efficient aid such that the mains power disconnection can be better distinguished. To validate the feasibility of this approach, the method has been validated through several scenarios. Test results supported the effectiveness of the method for the application considered.     

Applying wavelet entropy principle in fault classification

The ability to detect and classify the type of fault plays a great role in the protection of power system. This procedure is required to be precise with no time consumption. In this paper detection of fault type has been implemented using wavelet analysis together with wavelet entropy principle. The simulation of power system is carried out using PSCAD/EMTDC. Different types of faults were studied obtaining various current waveforms. These current waveforms were decomposed using wavelet analysis into different approximation and details. The wavelet entropies of such decompositions are analyzed reaching a successful methodology for fault classification. The suggested approach is tested using different fault types and proven successful identification for the type of fault.     

基于调制域分析的信号抖动谱分析研究

本文基于调制域分析仪(MDA)的高精度无死区时频测量原理,研究了精确时间测量中影响测量结果的各种抖动,从统计学的角度对抖动进行了分类,进而分析了各种抖动产生的来源,提出了抖动分析的方法和途径;重点介绍了调制域分析仪项目中抖动分析的实现方法(即基于时频测量的FFT方法)。通过CCS开发平台,编程实现了该方法,并借助于调制域分析仪实际测量所得的数据,分别在CCS和MATLAB中对该算法进行仿真和验证,通过对比CCS和MATLAB中的仿真结果,证明了该抖动分析方法是合理有效的。     

发电机励磁系统参数辨识综述

综述了发电机励磁系统参数辨识的方法及其在国内外的应用和发展,将辨识方法分为时域法、频域法和人工智能法3种。时域法原理简单,计算方便,对激励信号没有特别要求,容易实现,但是该方法没有滤波功能;频域法利用快速傅里叶变换,将时域上的卷积转化为频域上的简单乘积,计算方便,但它需要伪随机信号作为激励信号,对伪随机码的参数选取要视具体情况而定,对低阶系统的参数辨识准确度高;人工智能方法原理简单,对激励信号没有特殊要求,能辨识非线性系统,可以直接得到实际参数,但它也没有滤波功能,而且对系统的先验知识要求较高,这些先验知识制约着用遗传算法辨识系统参数的精度。3种辨识方法没有绝对的最优,可根据不同情况选用不同方法,必要时3种方法可结合使用。     

Evaluation of noise filter characteristics by discrete wavelet transformation

In this paper, the authors propose a wavelet analysis technique to evaluate the noise filtering characteristics of filters. To analyze noise problems, many people have used Fourier analysis. But the Fourier spectrum reveals only frequency information. Therefore, it is difficult to obtain noise waveforms from the Fourier spectrum. To overcome this difficulty, we have employed the wavelet analysis technique. Wavelet analysis makes it possible to get time domain as well as frequency domain information. It is shown that wavelet analysis is a promising methodology for noise filter characteristic evaluation. © 1997 Scripta Technica, Inc. Electr Eng Jpn, 120(3): 1–8, 1997     

Application of wavelet transform in travelling wave protection

In this paper, the correlation function-based travelling wave protection algorithm is analysed from the viewpoint of wavelet transform (WT), and a wavelet correlation function (WCF) algorithm is proposed to replace it. In the new algorithm, the multi-scale spline WT is used to detect the edges of the travelling wave signal, and the WCF is then employed to fulfil the correlation operation in the WT domain instead of the time domain. This enhances the peak intensity and the noise rejection ability of the algorithm. The performance of this algorithm is illustrated by simulation results.     

基于空域Contourlet-时域小波变换的视频水印算法

通过采用空域的Contourlet变换和时域的一维小波变换,提出了一种新型三维多分辨率分解方法,并将水印信息嵌入到Contourlet分解后空域低频子带系数的静止成分和动态成分中。为了增强水印的鲁棒性和安全性,在水印嵌入前先通过Arnold变换对原始二值水印进行置乱加密。在水印的嵌入过程中,构造了一种十位数规则来修改三维分解后的系数。实验结果表明,该算法能够抵抗各种攻击,如MPEG压缩编码、丢帧、帧平均和叠加噪声等等,算法简单,计算复杂度小,兼顾了水印的不可见性和鲁棒性,并且能取得更好的视觉效果。     

Frequency domain modelling of random wound motor windings for insulation stress analysis

The use of conventional low voltage induction motors fed by pulse width modulated (PWM) inverters has begun to present important problems. These waveforms consist of steep-fronted pulses having very short rise times (about 100 ns in modern IGBT bridges) and high frequency repetition rates (up to 20 kHz) whose immediate consequences are additional electrical stresses in an induction motors insulation system. In this paper a frequency domain model for the analysis and characterization of the internal voltage distribution in random wound coils is presented. The model allows voltage prediction in time domain when an inverse fast Fourier transform (FFT) transformation is performed, and requires only a few frequency domain impedance measurements. This methodology will be useful for accurately predicting the voltage distribution in motor windings during the design stage, and reducing the risk of premature failure in motor insulation. Experimental and theoretical results are presented and compared and model effectiveness using different approximations is studied.     

A new method for short-term load forecasting based on fractal interpretation and wavelet analysis

Load forecasting based on fractal interpolation is a very important method. However, traditional methods exists several disadvantages such as vertical scale factor difficult to calculate, low-precision, difficult to use. Therefore, a method is proposed combined with self-similarity theory and fractal interpolation theory to solve the above problems. In this paper, the self-similarity of electrical load historical data is analyzed using multi-resolution wavelet firstly, then use the Hurst parameter values to calculate vertical scaling factors in Iterative Function Systems (IFS) based on the values of Hurst parameter. The vertical scaling factors can be used to get the other parameters of IFS affine transformation. Then the electrical load forecasting curve was generated by the iterations system. According to the actual needs of electricity production, this algorithm was used to forecast electrical load from two aspects: fractal interpolation and fractal extrapolation, and the average relative errors are only 2.303% and 2.296%, in the case of only six interpolation points for the entire set of forecast data. The result shows this algorithm has advantages of high-precision, less-sample demands, less-interpolation points and easy to use.     

含分布式电源的配电网故障分析的解耦相分量法

分布式发电系统的接入改变了配电系统的故障电流分布,传统的配电网故障分析方法已经不能满足未来分布式发电系统的需求.针对含分布式电源的配电网故障分析开展研究,提出了合分布式电源的配电网故障分析计算的解耦相分量法.将含有分布式电源的配电网分解成"梯形"网络和"辐射状"网络,选择短路点为边界节点,借助于相序参数变换技术,通过三相解耦等值电路计算故障点短路电流,并利用支路电流分流系数计算任意节点电压.所提算法无需形成配电网节点复数导纳或阻抗参数矩阵;可以精确地模拟故障;可方便地计及短路点接触电阻的影响;避免了复杂的序网连接.采用20节点算例对所提方法进行了测试,算例结果证明了该算法的可行性和有效性.     

频域逼近优化的开关电流电路小波变换方法

提出了一种频域逼近优化的开关电流电路小波变换方法。利用小波函数幅度响应和相位响应信息,并考虑滤波器稳定性,设计小波基滤波器频域逼近优化模型,模型可采用常规优化算法求解。基于第二代开关电流积分器电路,构造一阶节和双二阶节基本电路模块。以五阶高斯小波基为例进行优化逼近,对逼近获得的小波基滤波器传递函数进行级联分解,并采用开关电流基本电路模块进行小波基电路综合。分析表明,五阶高斯小波逼近时域均方误差仅为2.883×10-4,频域均方误差仅为5.061×10-4。仿真结果表明,电路具有逼近效果好、小波尺度可调谐、电路灵敏度低等特点。     

Three-dimensional visualization and animation for power systems analysis

This paper describes a novel approach for three-dimensional visualization and animation of power systems analyses. The paper demonstrates that three-dimensional visualization of power systems can be used for teaching and can help in easily understanding complex concepts. The solutions of power flow analysis, continuation power flow, optimal power flow and time domain simulations are used for illustrating the proposed technique. The paper presents a variety of examples, particularly oriented to education and practitioner training. Conclusions are duly drawn.     

Stabilization control of multi‐machine power systems by adaptive power system stabilizer using frequency domain analysis

To improve electric power system transient stability, synchronous generators are generally equipped with controllers such as AVR, PSS, and GOV. Fixed parameter controllers degrade control performance, since various oscillation modes occur depending on system conditions. This paper presents an adaptive power system stabilizer (PSS) using frequency domain analysis for improving the transient stability of a multimachine system. In the proposed method, first, the frequency components of the generator swings are detected by the FFT. The conventional PSS parameters are tuned online by a fuzzy controller and frequency domain analysis. We verify the proposed adaptive PSS using frequency domain analysis, which can damp the generator swings effectively. © 2002 Wiley Periodicals, Inc. Electr Eng Jpn, 142(2): 10–20, 2003; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.10129