摘要
由于传统傅里叶算法在实际工程应用中都是非同步采样,存在栏栅效应和频谱泄露,导致谐波检测精度偏低。基于此问题,提出一种组合优化算法。通过分析混合卷积窗特性,提出基于混合卷积窗的四谱线插值算法,利用该算法准确检测谐波幅值和频率参数。从实际情况出发,提出基于混合卷积窗的改进全相位傅里叶算法,利用该算法对谐波相位进行检测,进而检测谐波3大参数。最后,在白噪声和频率波动影响下与传统加窗插值算法做对比分析。仿真结果表明,该组合优化算法可以有效地提高谐波检测参数精确度,抗白噪声和频率波动的能力较强。
Due to the non-synchronous sampling adopted by the traditional Fourier algorithm in practical engineering applications,there exists a problem of low harmonic detection accuracy,which results from the barrier effect and spectrum leakage.To solve this problem,a combined optimization algorithm is proposed.By analyzing the characteristics of mixed convolution window,a four-line interpolation algorithm based on mixed convolution window is presented,which is applied to accurately detect the harmonic amplitude and frequency parameters.By taking into account the actual situation,an improved all-phase Fourier algorithm based on mixed convolution window is formulated.This algorithm is used to detect the harmonic phase and the three parameters of harmonics.Finally,the proposed algorithm is compared with the traditional windowed interpolation algorithm under the influences of white noise and frequency fluctuations.Simulation results show that the combined optimization algorithm can effectively improve the accuracy of harmonic detection parameters,and it has strong capability to resist white noise and frequency fluctuations.
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 and Grid Technology of Ministry of Education,Xinjiang University,Urumqi 830047,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2020年第8期1-6,共6页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(51667020)
教育部创新团队资助项目(IRT_16R63)
“天山雪松”人才培养计划资助项目(2017XS02)
教育厅重大专项资助项目(XJEDU2017I002)。
关键词
谐波检测
快速傅里叶算法
混合卷积窗
插值
全相位傅里叶变换
组合优化算法
harmonic detection
fast Fourier algorithm
mixed convolution window
interpolation
all-phase Fourier transform
combined optimization algorithm
