基于ip-iq理论的改进谐波检测方法

Research on improved harmonic detection method based on ip-iq theory

  • 摘要: 有源电力滤波器(APF)是电力系统中实现电能质量管理的关键设备,谐波检测作为APF的关键技术之一,检测的精度和响应速度直接决定了APF的整体性能。介绍了传统的基于瞬时无功功率理论的ip-iq谐波电流检测算法; 针对其检测精度受锁相环输出相位误差影响,以及低通滤波器的存在限制了谐波检测系统的响应速度,提出了应用锁频环技术,产生与电网电压同频的单位正余弦信号的一种改进谐波检测算法; 并提出采用滑动平均滤波器(MAF)代替低通滤波器提高其响应速度以及改善谐波检测精度; 对改进的检测算法进行了理论分析,通过MATLAB进行仿真研究,理论分析和仿真结果都证明了该方法的有效性。

     

    Abstract: Active power filter (APF) is the key equipment to realize power quality management in power system. Harmonic detection is one of the key technologies of APF. The detection accuracy and response speed directly determine the overall performance of APF. In this paper, the traditional ip-iq harmonic current detection algorithm based on instantaneous reactive power theory is introduced; and the detection accuracy is affected by the phase error of the phase locked loop output and the response speed of the harmonic detection system is limited by the existence of low-pass filter. An improved harmonic detection algorithm is proposed by frequency-locked loop technology. The algorithm can generate unit sine and cosine signals with the same frequency of grid voltage, and moving average filter (MAF) is used instead of low-pass filter to improve its response speed and harmonic detection accuracy. The algorithm is analyzed theoretically and simulated by MATLAB. The theoretical analysis and simulation results prove the effectiveness of this method.

     

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