Key Parameter Tuning of Induction Motor Based on Short-Circuit Current Fault Record Data

The parameters of induction motors are critical factors that influence the accuracy of online short-circuit current analysis. By integrating state estimation data from the EMS system with grid model data, a real-time grid operation mode based on multi-source data fusion is generated. Through a short-circuit current analysis system, online short-circuit current evaluation is achieved. Key parameters of the induction motor are adjusted based on the differences between the fault recorder's measured data and the online analysis results, improving the precision of online short-circuit current analysis from a data perspective. This method enables the practical application of fault recording measurements, online short-circuit current analysis, and induction motor parameter tuning in real grids. The effectiveness and practicality of the method are validated through case studies of grid operation mode generation and induction motor parameter tuning.