有源电力滤波器提升小波检测及补偿控制仿真研究

发布时间：2018-03-21 00:50

本文选题：并联型有源电力滤波器　切入点：谐波检测　出处：《湘潭大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着工业进步,各种电力电子设备广泛投入使用,造成了越来越严重谐波污染的问题。有源电力滤波器(APF)这种新型的谐波抑制装置凭着众多无可比拟的优势,成为了研究热点。文本对并联型有源电力滤波器(SAPF)的谐波检测和补偿控制策略两个关键技术进行深入研究。首先介绍了瞬时无功功率理论,以及基于该理论的p-q、ip-iq谐波检测法,接着介绍了基于小波变换的谐波检测法。在前面的研究基础上提出了一种新在线谐波检测方法,采用运算速度快、结构简单的提升小波变换,在对电流采样信号序列提升小波分解之后采用新阈值函数对小波系数去噪处理,提高了去噪精度,重构后的信号连续性好。同时通过对信号序列加滑动时间窗的方式实现在线检测功能,并且给出了实现上述在线、分解、阈值去噪、重构等功能的S函数的算法流程。然后研究了目前补偿控制策略中应用最广的三角波比较方式和滞环电流比较方式,运用PI控制稳定直流侧电容电压,并且在Matlab中仿真验证其效果。最后在Matlab/Simulink中搭建整体仿真模型,谐波检测算法采用ip-iq法、小波分析法、提升小波分析法,补偿跟踪控制策略采用滞环电流比较方式跟踪谐波电流,采用PI控制稳定直流侧电压,仿真结果给出了采用三种谐波检测算法及补偿跟踪控制策略补偿后的电网电流波形图及频谱图,仿真对比表明基于提升小波分析的在线谐波检测法精度最高,性能最好。
[Abstract]:With the development of industry, a variety of power electronic equipment has been widely used, which has caused more and more serious harmonic pollution. Active Power filter (APF), a new type of harmonic suppression device, has many unparalleled advantages. In this paper, two key technologies of harmonic detection and compensation control strategy of shunt active power filter (SAPFF) are studied. Firstly, the instantaneous reactive power theory is introduced, and the p-qnip-iq harmonic detection method based on this theory is introduced. Then the harmonic detection method based on wavelet transform is introduced. Based on the previous research, a new on-line harmonic detection method is proposed. After lifting the wavelet decomposition to the current sampling signal sequence, the new threshold function is used to Denoise the wavelet coefficient, which improves the denoising accuracy. After reconstruction, the signal continuity is good. At the same time, the on-line detection function is realized by adding a sliding time window to the signal sequence, and the on-line detection, decomposition and threshold denoising are given. Then, the most widely used triangular wave comparison method and hysteresis current comparison method in the current compensation control strategy are studied, and Pi control is used to control the DC side capacitance voltage. Finally, the whole simulation model is built in Matlab/Simulink. The harmonic detection algorithm adopts ip-iq method, wavelet analysis method, lifting wavelet analysis method, compensation tracking control strategy using hysteresis current comparison method to track harmonic current. Pi is used to control steady DC side voltage. Three harmonic detection algorithms and compensation tracking control strategy are used to compensate the current waveform and frequency spectrum of the power network. The simulation results show that the on-line harmonic detection method based on lifting wavelet analysis has the highest accuracy and the best performance.
【学位授予单位】：湘潭大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN713.8;TM761

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