In view of the shortcomings of the traditional harmonic responsibility division methods, which require the use of dedicated synchronous equi
In view of the shortcomings of the traditional harmonic responsibility division methods, which require the use of dedicated synchronous equipment monitoring data and the division of harmonic responsibility based on equivalent circuit model, and are complex in engineering application, based on the asynchronous measurement data of the existing harmonic monitoring devices, a harmonic responsibility division method is proposed, which takes into account the asynchronous nature of the data, the division of the scenarios, and the correlation of the data. Firstly, the original asynchronous monitoring data set is preprocessed using piecewise aggregation approximation (PAA) algorithm for noise reduction, and then the ShapeDTW algorithm is used to realize the data matching and alignment. Secondly, the OPTICS algorithm is used to divide the scenarios for dealing with the harmonic responsibility changes in power system caused by switching of the power load and the reactive power compensation devices. Finally, the harmonic responsibility of the scenarios and the total harmonic responsibility indexes are constructed based on correlation analysis, and the factor of scenario duration percentage is introduced in the process of indexes construction to .get a more scientific and reasonable total harmonic responsibility value. The simulation verification and grid example verification show that the proposed method can realize the dynamic harmonic responsibility division of each user in a reasonable time scale based on the existing asynchronous monitoring data, which can provide new ideas and methods for fast harmonic responsibility division in engineering.
