Gray Box Modeling of Power Transformer Windings Based on Design Geometry and Particle Swarm Optimization Algorithm

被引：28

作者：

Aghmasheh, Reza ^{[1
]}

Rashtchi, Vahid ^{[1
]}

Rahimpour, Ebrahim ^{[2
]}

机构：

[1] Univ Zanjan, Dept Elect Engn, Zanjan 4537138791, Iran

[2] ABB AG, Transformers, Power Grids Div, D-53604 Bad Honnef, Germany

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2018年 / 33卷 / 05期

关键词：

Geometric dimension; gray box model; optimization; transformer winding; transient study; FAST TRANSIENTS; PARAMETER-IDENTIFICATION; GENETIC ALGORITHM; DETAILED MODEL; INSULATION; REDUCTION;

D O I：

10.1109/TPWRD.2018.2808518

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Reliable models to predict the fast transient response of transformer windings are categorized into three groups: 1) white box; 2) black box; and 3) gray box models. Each group is applicable to solve a certain problem and includes its own advantages, hardly replacable by another group. The gray box methodology is a compromise between black and white box approaches which is investigated profoundly in this paper. A newmethod based on design geometry estimation is applied to accomplish transient simulation. The introduced procedure is probed on a noninterleaved double disk winding. Simulation and experimental results confirm that the gray box approach is applicable to both terminal and internal response estimation of a transformer when there is no knowledge of the transformer's internal specifications. The parameter identification of the model is performed by the particle swarm optimization algorithm.

引用

页码：2384 / 2393

页数：10