Modeling and Simulation of Wide-range Current Transformer and Optimization of Core Size

Abstract

Abstract When the current transformer for traditional measurement is too large or too small, the measurement error will fluctuate greatly, resulting in a sharp deterioration of the measurement accuracy. In response to this paper establishes a simulation model of the corresponding current transformer based on SIMULINK and analyzed the error source factors of the current transformer; then, according to theoretical derivation, the simulation established the core size, ratio difference, and angle difference of the current transformer. Finally, a genetic algorithm based on nonlinear programming is used to iteratively optimize the core size of the current transformer, and finally the error of the current transformer after the core is optimized and when the core is not optimized is compared through simulation. The results show that current transformer’s ratio difference and angle difference of the current transformer are significantly reduced. Among them, the ratio difference is reduced to about 50% of the original, and the angle difference of the transformer is reduced to about 60% of the original, which greatly broadens the range of the current transformer.