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有源电力滤波器分次谐波检测算法的研究

发布时间:2018-11-26 08:32
【摘要】:近年来,精密负载等高科技型设备对电网电能质量的要求越来越高,而大量电力电子设备等非线性负载的并网运行,却使得公共电网的谐波畸变变得越来越严重,如何检测和补偿非线性负载所产生的谐波,提高电网电能质量成为一个亟待解决的问题。因此本文对有源电力滤波器在分次补偿方式下的谐波检测算法进行了深入的研究和比较:1.分析介绍了基于频域的两种分次谐波检测方法—RDFT法和Goertzel RDFT法。为了解决异步采样条件下RDFT法频率泄露导致稳态误差变大的问题,第二章提出了一种改进的基于RDFT法的分次谐波检测方法,该方法根据锁相环检测到的频率信息,自适应地调整算法的采样频率,并通过对比仿真验证了该方法的有效性。2.分析介绍了基于同步旋转坐标系算法的分次谐波检测算法的基本原理,推导得出了基于单模块单一频率检测和多模块并联多频率检测算法的数学模型。在单模块数学模型的基础上对巴特沃斯低通滤波器的原理和参数进行了分析和设计。通过对多模块多频率检测算法的数学模型分析和建模仿真表明:多模块并联后进行全谐波检测时,各个单次检测的模块之间会相互影响,导致算法的稳态误差变大。基于此问题,通过改进算法结构框图得到了一种改进的基于同步旋转坐标系法的分次谐波检测方法,并通过数学分析和仿真验证,表明改进后的算法具有更好的谐波检测效果。3.分析介绍了基于自适应陷波器算法的分次谐波检测算法的基本原理和数学模型,基于传统的自适应陷波器法的频率收敛速度受被检测信号频率和幅值的影响的问题,通过改进算法的频率检测环节得到了一种改进的基于锁相环的自适应陷波器法的分次谐波检测方法,通过仿真,表明该方法的动态响应速度不受被检测信号频率和幅值的影响。4.分别在负载电流稳定、负载电流幅值突变、负载电流频率突变和负载电流含有未检测次谐波的情况下对三相多模块并联的谐波检测算法进行了仿真和分析,仿真结果表明本文设计的各种谐波检测方法的有效性,并对各方法检测效果进行了综合对比。
[Abstract]:In recent years, high technology equipments such as precision load require higher and higher power quality. However, the harmonic distortion of public power network becomes more and more serious due to the grid connection of a large number of nonlinear loads such as power electronic equipment. How to detect and compensate harmonic produced by nonlinear load and improve power quality becomes an urgent problem. Therefore, the harmonic detection algorithm of active power filter based on graded compensation is studied and compared in this paper: 1. Two harmonic detection methods based on frequency domain, RDFT method and Goertzel RDFT method, are analyzed and introduced. In order to solve the problem that frequency leakage of RDFT method leads to large steady state error under asynchronous sampling condition, in chapter 2, an improved method of harmonic detection based on RDFT method is proposed, which is based on the frequency information detected by PLL. The sampling frequency of the algorithm is adjusted adaptively, and the effectiveness of the method is verified by comparison and simulation. 2. This paper analyzes and introduces the basic principle of order harmonic detection algorithm based on synchronous rotation coordinate system, and deduces the mathematical models of single frequency detection algorithm based on single module and parallel frequency detection algorithm based on multiple modules. Based on the single module mathematical model, the principle and parameters of Butterworth low pass filter are analyzed and designed. Through the mathematical model analysis and modeling simulation of the multi-module multi-frequency detection algorithm, it is shown that when the multi-module parallel connection is carried out the whole harmonic detection, each single detection module will affect each other, resulting in the algorithm's steady state error becoming larger. Based on this problem, an improved hierarchical harmonic detection method based on synchronous rotating coordinate system is obtained by improving the algorithm block diagram, and it is verified by mathematical analysis and simulation. It shows that the improved algorithm has better harmonic detection effect. This paper introduces the basic principle and mathematical model of graded harmonic detection algorithm based on adaptive notch algorithm. Based on the traditional adaptive notch method, the frequency convergence rate is affected by the frequency and amplitude of the detected signal. An improved frequency detection method based on phase-locked loop (PLL) adaptive notch filter method is presented in this paper. It is shown that the dynamic response speed of the method is not affected by the frequency and amplitude of the detected signal. 4. 4. When the load current is stable, the load current amplitude changes, the load current frequency changes and the load current contains undetected sub-harmonics, the harmonic detection algorithm of three-phase multi-module parallel connection is simulated and analyzed. The simulation results show the effectiveness of the various harmonic detection methods designed in this paper.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN713.8;TM935

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相关博士学位论文 前1条

1 张斌;高效稳健的自适应滤波算法研究[D];西安电子科技大学;2010年



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