Analysis and Optimization for Current Overload Capability of Hybrid Transformers Under Grid Voltage Sag

The integration of extensive power electronic equipment rises a demand for flexible and rapid voltage regulation in future grids. Hybrid transformers (HTs) are considered highly competitive solutions, combining electromagnetic transformers with partially rated capacity converters. However, the tight electromagnetic coupling of HTs results in current overloads when compensating for voltage sags, limiting the full utilization of their rated compensation capacity. Furthermore, this overload increases as voltage sag deepens. These unique current overload aspects are crucial for HTs to fully utilize their voltage regulation capability in practical applications. In this article, the current overload characteristics and influencing factors of HTs are discussed. Based on this, a coordinated optimization of hardware and software components is proposed in light of their electromagnetic coupling feature. The performances of optimized topology selection and operation mode are verified by simulation cases separately and evaluated by a current overload index quantitatively, decreased by 59% and 66%, respectively. The enhanced current overload method is verified with an 800-ms three-times-module-rated-current overcurrent ride-through experiment. These improvement help meet the HT current overload requirements including those in the LVRT process.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2024-08-13
DOI
https://doi.org/10.1109/tie.2024.3433416
Citations
3
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis and Optimization for Current Overload Capability of Hybrid Transformers Under Grid Voltage Sag

Yan Shi, Lei Qi, Lvyang Chen, Wei Li et al.
3 citations
IEEE Transactions on Industrial Electronics
Power Systems and Technologies
0.63
article

Analysis and Optimization for Current Overload Capability of Hybrid Transformers Under Grid Voltage Sag

Yan Shi, Lei Qi, Lvyang Chen, Wei Li, Xiangyu Zhang
article en
3 citations

Abstract

The integration of extensive power electronic equipment rises a demand for flexible and rapid voltage regulation in future grids. Hybrid transformers (HTs) are considered highly competitive solutions, combining electromagnetic transformers with partially rated capacity converters. However, the tight electromagnetic coupling of HTs results in current overloads when compensating for voltage sags, limiting the full utilization of their rated compensation capacity. Furthermore, this overload increases as voltage sag deepens. These unique current overload aspects are crucial for HTs to fully utilize their voltage regulation capability in practical applications. In this article, the current overload characteristics and influencing factors of HTs are discussed. Based on this, a coordinated optimization of hardware and software components is proposed in light of their electromagnetic coupling feature. The performances of optimized topology selection and operation mode are verified by simulation cases separately and evaluated by a current overload index quantitatively, decreased by 59% and 66%, respectively. The enhanced current overload method is verified with an 800-ms three-times-module-rated-current overcurrent ride-through experiment. These improvement help meet the HT current overload requirements including those in the LVRT process.

IEEE Transactions on Industrial ElectronicsVol. 72(3)
North China Electric Power University (CN)
Affordable and clean energy
Openalex Percentile: Top 32%
Power Systems and Technologies
0.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis and Optimization for Current Overload Capability of Hybrid Transformers Under Grid Voltage Sag — Yan Shi, Lei Qi, et al. · IEEE Transactions on Industrial Electronics (2024) | TGRS Research Map | TGRS