Fast computation of electro-thermal coupling field of ± 400 kV converter transformer valve side bushing based on proper orthogonal decomposition method

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-04 DOI:10.1016/j.ijepes.2025.110617

Zhilin Chu , Qingyu Wang , Huidong Tian , Siyuan Liu , Zhijie Gao , Songbo Tian , Peng Liu , Zongren Peng

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Abstract

The digital twin technology plays a crucial role in enabling the intelligent operation and maintenance of power equipment, as well as facilitating the digital transformation of the power industry. High voltage (HV) converter transformer valve side bushing is a critical equipment in high voltage direct current (HVDC) transmission projects and the coupling effect of its multi-physical fields determine the operation state of the equipment. Therefore, there is an immediate necessity to develop key digital twin technology for HV bushings, allowing for real-time monitoring of multiple physical field to support their reliable operation. The paper adopts the finite element method to construct a model for electro-thermal coupling field of the converter transformer valve side bushing. By solving electro-thermal coupling finite element equations, snapshots are obtained and electro-thermal coupling field of the bushing is efficiently computed using singular value decomposition and proper orthogonal decomposition (POD). The results demonstrate that electro-thermal coupling field distribution obtained through the reduced-order model closely matches that computed by commercial software, significantly reducing the required computation time. This research validates the effectiveness of utilizing POD for fast computation and real-time simulation of electro-thermal coupling field of HV converter transformer valve side bushings.

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.