A Coordinated Current Limiting Method for Flexible DC Grids Based on Source-Grid Limiting Contribution

Fault current limiting plays a crucial role in maintaining the safe operation of flexible DC grids. Nevertheless, existing fault current limiting techniques often focus on individual limiting devices, with few strategies tailored to coordinate with specific fault conditions. To maximize the effectiveness of current limiting devices, prevent converter station lockout, and reduce the fault interruption capacity of DC circuit breakers (DCCBs), this paper proposes an adaptive source-grid coordinated current limiting method based on limiting contribution in flexible DC grids. This method integrates the current limiting principles and objectives of modular multilevel converters (MMC) and introduces a control logic between quantitative indicators and MMC modulation coefficients to develop a source-side adaptive current suppression control method for flexible DC grids. For the coordinated method between source-side MMC and grid-side fault current limiters (FCL), the principle of “grid-side priority, source-side supplementation” is introduced to enhance the performance of the coordinated current limiting approach. Finally, a four-terminal flexible DC grid simulation was established using the PSCAD/EMTDC platform to validate its validity across a range of fault conditions.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922293
Primary Topic
HVDC Systems and Fault Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Coordinated Current Limiting Method for Flexible DC Grids Based on Source-Grid Limiting Contribution

Chunsheng Guo, Jianquan Liao, Yuhong Wang, Ting Du
27 links
HVDC Systems and Fault Protection
article

A Coordinated Current Limiting Method for Flexible DC Grids Based on Source-Grid Limiting Contribution

Chunsheng Guo, Jianquan Liao, Yuhong Wang, Ting Du
article en

Abstract

Fault current limiting plays a crucial role in maintaining the safe operation of flexible DC grids. Nevertheless, existing fault current limiting techniques often focus on individual limiting devices, with few strategies tailored to coordinate with specific fault conditions. To maximize the effectiveness of current limiting devices, prevent converter station lockout, and reduce the fault interruption capacity of DC circuit breakers (DCCBs), this paper proposes an adaptive source-grid coordinated current limiting method based on limiting contribution in flexible DC grids. This method integrates the current limiting principles and objectives of modular multilevel converters (MMC) and introduces a control logic between quantitative indicators and MMC modulation coefficients to develop a source-side adaptive current suppression control method for flexible DC grids. For the coordinated method between source-side MMC and grid-side fault current limiters (FCL), the principle of “grid-side priority, source-side supplementation” is introduced to enhance the performance of the coordinated current limiting approach. Finally, a four-terminal flexible DC grid simulation was established using the PSCAD/EMTDC platform to validate its validity across a range of fault conditions.

Sichuan University (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 74%
HVDC Systems and Fault Protection
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.

A Coordinated Current Limiting Method for Flexible DC Grids Based on Source-Grid Limiting Contribution — Chunsheng Guo, Jianquan Liao, et al. · (2024) | TGRS Research Map | TGRS