基于J-A磁滞理论的变压器剩磁预测OA

Using circuit breaker to achieve phase-controlled switching of transformer is an effective measure to re-duce inrush current.The core of phase-controlled closing is to obtain the appropriate closing angle based on the re-manent flux after opening.In the context of remanence prediction,the voltage integration method has the problem that the upper integration limit is difficult to determine,while the Jiles-Atherton(J-A)model has the advantages of clear physical meaning of parameters and accurate calculation.First,to address the problems of slow covergence and a tendency to fall into local optimal solutions in the particle swarm optimization(PSO)algorithm currently used for extracting J-A model parameters,an improved particle swarm-optimization algorith is proposed.By optimizing the velocity and position update formulas of the particles,the issue of slow convergence and susceptibility to local optima in the traditional PSO algorithm are resolved.This new algorithm not only accelerates the convergence speed but also balances the global and local search capabilities.Then,the remanence prediction of the transformers is car-ried out based on J-A model.A transformer no-load closing exprimental platform is established,and a simulation model combining the J-A model and the classifical transformer model is built using PSCAD/EMTDC to predict the remanence flux under difefrent closing angles.Finally,the accuracy of remanence prediction is verified by compar-ing the peak value of inrush current by way of combining simulation with experimental recorded data.