Research Of Performance Analysis And Compensation Method For Intelligent Electric Embedded Current Transformer

In order to reduce measurement error of the embedded current transformer and enhance stability of electric power system,this thesis focus on performance analysis and compensation method of intelligent appliance embedded current transformer.Taking the embedded electromagnetic current transformer as an example,the temperature effect of secondary winding and iron core,and the leakage magnetic flux effect of three-phase cores are taken into account.The main researches of this paper are summarized as following parts.(1)Firstly,the research status of transfer characteristics of current transformer influenced by external magnetic field and temperature are compared through reviewing domestic and abroad literatures.The error correction approaches are discussed in detail.(2)Secondly,based on analysis of structure,operation principle,and mathematical model of electromagnetic current transformer,the relationship among voltage,current and phase of primary winding and secondary winding are derived.The error of electromagnetic current transformer is analyzed,which lays foundation for further research.(3)Thirdly,considering the effect of temperature and harmonics on measurement accuracy,the magnetic properties of silicon steel sheet are measured under different temperature and different harmonics by using the single sheet measurement system.The B-H curve,B-P curve,and magnetic permeability are obtained and discussed.(4)Fourthly,the measured data of magnetic property under different temperatures is combined with the finite element analysis through COMSOL commercial software.For different structures,the performance analysis under different temperatures are simulated.The corresponding distributions of main magnetic field,leakage magnetic field,and secondary current are acquired.(5)Furthermore,the mathematical model of temperature compensation is derived based on the Lagrangian method.The physical experiment system is set up for carrying out temperature compensation experiments.The proposed strategy is validated.(6)Finally,the full paper is summarized.