Operation Delay Prediction of Permanent Magnet Circuit Breaker Based on Neural Network

At present, permanent magnet circuit breakers are mostly used in the power grid to switch on and off parallel capacitors. Controlling the on-off of permanent magnet circuit breakers at a specific voltage phase can effectively reduce the inrush current and over-voltage that may be generated in the operation process. But the factors that affect the operation process of the permanent magnet circuit breaker are very complex, and it is difficult to use mathematical modeling method to calculate. In this paper, deep neural network is used to model and simulate the operation delay of PMCB, so as to improve the accuracy of compensation time and realize the smooth switching of shunt capacitor.