电力系统保护与控制2026，Vol.54Issue(5)：88-96,9.DOI:10.19783/j.cnki.pspc.250691
基于混合卷积窗和粒子群谱线插值的谐波与间谐波检测方法
Harmonic and interharmonic detection method based on hybrid convolution windows and particle swarm optimization-based spectral line interpolation
摘要
Abstract
Windowed interpolation fast Fourier transform(FFT)methods are widely used in embedded harmonic detection for power systems due to their high accuracy and low complexity,effectively mitigating spectral leakage and the picket-fence effect caused by asynchronous sampling and non-integer-period truncation.To address the limitations of existing window functions and spectral line interpolation methods,this paper proposes an improved harmonic and interharmonic detection approach based on hybrid convolution windows and particle swarm optimization(PSO)-based spectral line interpolation.First,a time-domain convolution hybrid window is constructed by combining the advantageous characteristics of the Blackman-Harris window and the five-term maximum sidelobe decay(MSD)window,thereby enhancing spectral leakage suppression capability.Second,a spectral line interpolation model is established,where the PSO algorithm is employed to perform offline searches for the optimal weight combination,overcoming the limitations of traditional methods that rely on empirical parameter settings and further improving amplitude detection accuracy.Simulation results show that,compared with the original algorithm,the proposed method achieves superior performance in terms of harmonic and interharmonic detection accuracy and anti-interference capability.关键词
快速傅里叶变换/非同步采样/混合卷积窗/粒子群优化/谱线插值优化Key words
FFT/asynchronous sampling/hybrid convolution window/particle swarm optimization/spectral line interpolation optimization引用本文复制引用
袁文涛,李开成,罗溢,尹晨,徐奥傲,陆梓浩,贺嘉明..基于混合卷积窗和粒子群谱线插值的谐波与间谐波检测方法[J].电力系统保护与控制,2026,54(5):88-96,9.基金项目
This work is supported by the National Natural Science Foundation of China(No.52077089). 国家自然科学基金项目资助(52077089) （No.52077089）
