Tehnički vjesnik, Vol. 29 No. 1, 2022.
Prethodno priopćenje
https://doi.org/10.17559/TV-20210812043603
Design of a Low-Voltage Distribution Transformer Based on Inductive Filtering
Delu Li*
; School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China; Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China
Xianming Deng
; School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Changyi Li
; School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xiao Zhang
; School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221116, China
En Fang
; School of Electrical and Control Engineering, Xuzhou University of Technology, Xuzhou 221116, China
Sažetak
Adopting the connection group structure of Dd0yn11, this paper designs a novel low-voltage (LV) distribution transformer (DT) based on inductive filtering (IF), and verifies the proposed transformer through a comprehensive innovation experiment. Firstly, the functional relationship between valve-side harmonic current and grid-side current was derived according to the winding model, and the filtering features were obtained to compute the impedance between the valve- and grid-side windings. Next, the design calculation was carried out by the engineering magnetic circuit (EMC) method. After that, a three-dimensional (3D) model was established for the proposed transformer on ANSYS Maxwell. The simulation results show that the proposed transformer meets the design requirements on the relevant parameters, and eliminates the harmonic pollution in the grid. Finally, the proposed transformer was proved correct and effective through experiments, and found to stimulate studentsꞌ interest in learning and innovation.
Ključne riječi
ANSYS maxwell; distribution transformer (DT); finite-element simulation; harmonic governance; inductive filtering (IF)
Hrčak ID:
269606
URI
Datum izdavanja:
15.2.2022.
Posjeta: 808 *