Optimal design of measurement-type current transformer using particle swarm optimization

In this paper a new approach based on particle swarm optimization (PSO) for measurement-type current transformer design has been proposed. This algorithm presents design parameters of current transformer in order to minimize ratio and phase displacement errors to 1.2 times of rated current and also construction cost. It has better performance in comparison with common methods of CT designing that are mainly based on trial and error. In this research, effects of burden change have been taken into consideration and finally, the rated burden of transformer to reach the expected measuring accuracy has been obtained. At the end, several current transformers with different rated values are designed using this method. Results show that the proposed approach can be used for optimal design of current transformer perfectly.