Scientific topics of the paper: Computational intelligence in modelling and control of power systems study on harmonic detection in power system based on the combination algorithm of S transform and SVR model

With the increase of the nonlinear loads in power system, the harmonic problem of power system has become more and more complex, and has brought great harm to the operation of power system equipments. So, it has great significance for the secure and economic operation of power grids to master the integer and non-integer harmonic components of power system. A new harmonic detection method based on the combination of S transform and SVR model is firstly proposed in this paper. The method develop the complementation of the advantages of the S transform and SVR model, because the S transform has the advantage of high degree of accuracy of harmonic frequency in harmonic detection and the SVR model has the advantage of high precision of harmonic amplitude and phase in harmonic detection. Through S transform, the accurate harmonic frequency information can be get, and the computing complexity of spatial dimension of SVR model is reduced. So, not only the accuracy of harmonic detection but also the calculation speed is improved. Consequently, the problem of bottleneck of harmonic detection with SVR model is resolved. The simulation results, compared with ADALINE, show that the method presented in the paper has higher accuracy and faster computing speed in the detection of integer and non-integer harmonics at the condition of static state and dynamic state.