超分辨率谱估计理论在电力系统谐波间谐波分析中的应用

Application of the Super-Resolution Spectral Estimation Theory to the Harmonics and Interharmonics Analysis in the Electric Power System

将基于“子空间方法”的超分辨率谱估计理论引入电力系统谐波、间谐波分析领域,讨论了基于子空间分解的MU-SIC算法原理.该类算法对同步采样没有要求,无需考虑频谱泄漏问题,理论上具有任意的分辨率非常适合用于电力系统谐波、间谐波分析.本文对算法的性能进行了仿真,得到了准确的谐波、间谐波分析结果.并与DFT方法进行了比较,表明该类算法具有经典Fourier分析无可比拟的优越性.

The subspace-method-based super-resolution spectral estimation theory is introduced to harmonics and inter-harmonics analysis in the electric power system. The subspace-based MUSIC algorithm is introduced. For subspace method, synchronous sampling is not necessary, spectrum leakage doesn＇t exist and the resolution is infinite in theory, so it＇s advantageous to be used in harmonics and inter-harmonics analysis in the electric power system. In the simulation, precise harmonics and inter-harmonics analysis results were obtained, showing its superiority to the classic Fourier method.