基于Kaiser窗的改进傅氏测频算法  

An Improved Frequency Measuring Algorithm Based on Kaiser Window Fourier Filter

作　　者：吴峻[1] 吴崇昊[2] 

机构地区：[1]南京供电公司,江苏南京210008 [2]东南大学电气工程学院

出　　处：《江苏电机工程》2008年第4期17-19,共3页Jiangsu Electrical Engineering

摘　　要：快速、准确测量电频率是电网及电气设备运行、控制、调节的重要基础。电压的谐波和噪声会影响频率的测量,特别是分布式发电引入了各种电力电子设备,产生的谐波较大,谐波中不仅包含整次谐波,还包含有大量的非整次谐波。常规傅氏测频法抗非整次谐波和噪声能力弱,测频精度会受到一定影响。提出了一种基于Kaiser窗的改进傅氏测频算法,提高了谐波和噪声环境下的测频精度。仿真结果显示改进测频算法的测量误差小于0.005 Hz,优于常规傅氏算法。Accurate and fast estimation of electric frequency is the basis of operation, control and regulation of power system and electric equipment. The frequency measurement is prone to be affected by the harmonics and noises of voltage, especially integer and non-integer harmonics produced by various power electronic devices in distributed generation. The frequency measuring algorithm based on Fourier filter does not have good performance against non-integer harmonics and noises which lead to degradation of fi-equency measurement accuracy. So a frequency measuring algorithm based on Kaiser Window Fourier filter is presented to improve the frequency measurement accuracy under the circumstances of harmonics and noises. The simulation result indicates that the frequency measurement error is less than 0.005 Hz,which is better than conventional Fourier method.

关 键 词：分布式发电 KAISER窗 频率测量 傅氏算法 

分 类 号：TM744[电气工程—电力系统及自动化]