کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

Gray Box High-Frequency Modeling of Transformer using Particle Swarm Optimization

نویسندگان :

Mehdi Shamsodini Lori¹ Mohammad Hamed Samimi² Jawad Faiz³

1- University of Tehran 2- دانشگاه تهران 3- University of Tehran

کلمات کلیدی :

frequency response analysis،high-frequency model،optimization algorithm،transformer،transformer diagnosis،transformer modeling

چکیده :

The gray box model of transformer provides the terminals voltages and currents as well as the internal distribution of internal voltages and currents. This is the reason that it is one of the most suitable high frequency models for transformers. The model can be used in examining and interpreting the results of the frequency response analysis (FRA) test. This paper presents a gray box model using the particle swarm optimization method. Generally, the most existing models are applicable for a single winding, but the presented model here is built for a single-phase transformer with two windings. The predicted results using the model are compared with the experimental results. The ultimate goal was to achieve closer agreement between the transfer function of the model and the experimental results. The optimization algorithm is implemented separately for three different connections of the FRA test including end-to-end open-circuit, capacitive inter-winding, and inductive inter-winding. The results of the three tests are modeled and analyzed. Moreover, the possibility of creating a model based on one of the test connections and then using it to produce the frequency response of other tests is investigated.