Equal Interval Double-Cycle Sampling Method for Supra-Harmonic Detection

With the rapid development of new energy and the application of a large number of power electronic devices, higher harmonics related to the switching frequency of power electronic devices have emerged in the power grid. In order to improve the rapidity and accuracy of supra-harmonic detection, various data sampling methods for supra-harmonic detection have been proposed. Based on the analysis of existing typical data sampling methods for supra-harmonic detection, this paper proposes an equal interval double-cycle data sampling method, and performs frequency spectrum analysis after data merging and data reorganization. The analysis and calculation results show that this new data sampling method effectively reduces the data sampling volume and data storage capacity, and significantly improves the accuracy of supra-harmonic detection for the new method having the same information coverage ability as the equal interval data sampling method.