Modeling Of Magnetizatioon Characteristics And Its Application In Magnetically Controlled Reactors

Electromagnetic equipment such as transformers and reactors are widely used in power systems,and their stable operation will directly affect the stability of power systems.These electromagnetic devices all contain iron cores composed of ferromagnetic materials.The magnetic properties of ferromagnetic materials will affect the electromagnetic devices.The magnetic properties of ferromagnetic materials are represented by the magnetization model.In the theoretical design and characteristic analysis of electromagnetic devices,The magnetization characteristic model,that is,the magnetization characteristic curve,is used for related calculations.Therefore,the establishment,selection of the magnetization characteristic model and the accurate characterization of the magnetic characteristics will have an important impact on the working performance of the electromagnetic equipment.Accurately characterizing the magnetization process of the iron core and establishing a reasonable magnetization model are of great significance to the study of ferromagnetic materials.Firstly,based on the ferromagnetic material property measuring equipment,the magnetic properties of the ferromagnetic material 30Q130 silicon steel sheet under two states of DC magnetization and AC magnetization were measured respectively,and a series of magnetic property parameters were obtained to characterize its magnetic properties,including the saturation magnetic induction intensity,residual magnetic induction,coercivity,relative permeability,etc.Based on the AC magnetization measurement system,the properties of ferromagnetic materials were measured at different frequencies,and the corresponding magnetization curves,hysteresis loops and losses were obtained,which provided the data basis for the establishment of the hysteresis loop model.Secondly,three commonly used single-valued magnetization models are introduced,and the characteristics of the models are summarized.The commonly used hysteresis loop model is introduced,and the neural network model and Jiles-Atherton(J-A)hysteresis model are selected for modeling.Based on the hysteresis loop data obtained by magnetic measurement,a neural network hysteresis model of ferromagnetic materials considering the hysteresis effect was established;the corresponding expression was obtained by deriving the J-A hysteresis model.Based on the measured static hysteresis loop data,the static J-A hysteresis model is established by using particle swarm optimization algorithm for parameter identification;Based on the static model and the loss separation theory,the dynamic loss parameters are obtained,and the dynamic J-A hysteresis model is established.Thirdly,the factors affecting the magnetization characteristics of ferromagnetic materials are summarized.Based on the neural network hysteresis model and the J-A model,the magnetization characteristics models of ferromagnetic materials considering the influence of frequency are established respectively,and the influence of frequency on the magnetic characteristics of ferromagnetic materials is analyzed.The results are compared with the experimental measurement results,and the modeling accuracy of the two models is proven.Finally,taking the magnetron reactor as the carrier,an equivalent analysis model is established.Based on the ideal small slope curve,piecewise function curve,magnetization curve and JA hysteresis loop model,the reactor is modeled and analyzed,and the different saturation levels of the reactor are compared.The current characteristics,magnetization characteristics and control characteristics calculated by different magnetization models are studied,and the influence of magnetization model selection on the reactor modeling analysis is studied.The different curve models are compared from the perspectives of current calculation accuracy,difficulty in establishing magnetization model,and calculation time,etc.,to provide certain theoretical support for the selection of magnetization model of magnetron reactor.