摘要
在实际谐波检测过程中,传统傅里叶算法只能做到非同步采样,这样就无法避免栏栅效应和频谱泄露的存在,导致谐波检测中相位检测精度相对较低。针对此问题,提出hanning窗和4项5阶nuttall窗的二阶混合卷积窗,用其在相位检测中做预处理,并以此提出基于混合卷积窗的改进全相位傅里叶算法,该算法在谐波相位检测中能有效提高谐波相位检测精度。分别在白噪声和频率波动的影响下做仿真验证,并与传统的加窗插值算法作对比分析。仿真结果表明,文中优化算法在谐波相位检测中具有较大优势,提高4个数量级的精确度,且具有较强抗白噪声和频率波动能力。
In the actual harmonic detection process,the traditional Fourier algorithm is asynchronous sampling,which can not avoid the existence of fence effect and spectrum leakage,resulting in relatively low phase detection accuracy in harmonic detection. Based on this problem,the Hanning window and the second-order hybrid convolution window of Nuttall with four terms and five orders are proposed,which are used to preprocess the all phase algorithm. The improved all phase Fourier algorithm based on the hybrid convolution window is proposed. The algorithm can effectively improve the accuracy of harmonic phase detection in harmonic phase detection. Finally,under the influence of white noise and frequency fluctuation,the simulation results are compared with the traditional windowed interpolation algorithm. The simulation results show that the optimized algorithm has great advantages in harmonic phase detection,improves the accuracy of four orders of magnitude,and has strong ability to resist white noise and frequency fluctuation.
作者
陈倩
王维庆
王海云
张家军
Chen Qian;Wang Weiqing;Wang Haiyun;Zhang Jiajun(Engineering Research Center for Renewable Energy Power Generation&Grid-Connected Technology of Ministry of Education,Xinjiang University,Urumqi 830047,China)
出处
《电测与仪表》
北大核心
2020年第15期105-109,共5页
Electrical Measurement & Instrumentation
基金
国家自然科学基金(51667020)
教育部创新团队(IRT_16R63)
“天山雪松”人才培养计划(2017XS02)
教育厅重大专项(XJEDU2017I002)。
关键词
相位检测
混合卷积窗
全相位傅里叶
phase detection
hybrid convolution window
all-phase Fourier transform
