Interruption strategy of fault current fed by high-capacity generator based on phase selection and current-zero prediction

• Low-arc-energy interruption strategy for generator circuit breakers. • Optimal first-pole-to-clear selection is the phase with medium asymmetrical degree. • Contacts are controlled to separate near predicted current zeros at the end of small half-waves. • Combining optimal pole selection and current-zero prediction ensures low arc energy and high reliability. The high asymmetrical degree (AD, >100 %) of the fault current fed by high-capacity turbine generator (HTG) results in high arc energy ( E arc ), hindering reliable interruptions of generator circuit breakers (GCBs). Traditional GCBs with simultaneous three-phase separation at random moments suffer from uncontrollable arcing time and high E arc , severely undermining the interruption reliability of GCB. To limit E arc , GCBs with phase-separated operation mechanism should be applied, along with the first pole to clear (FPTC) selection and ideal current-zero prediction. Contributions of the paper are: first, it is revealed the phase with medium AD should be selected as the FPTC, and contacts should be controlled to separate near the current zero at the end of a small half-wave. Second, combined with FPTC selection and ideal current-zero prediction, an interruption strategy is proposed, which can limit E arc to <50 kJ in random faults, improving the GCB interrupting reliability for highly asymmetrical currents. Simulation results verified its effectiveness.

Institutions

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-09-24
DOI
https://doi.org/10.1016/j.ijepes.2025.111162
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interruption strategy of fault current fed by high-capacity generator based on phase selection and current-zero prediction

International Journal of Electrical Power & Energy Systems
Water Systems and Optimization
article

Interruption strategy of fault current fed by high-capacity generator based on phase selection and current-zero prediction

article en

Abstract

• Low-arc-energy interruption strategy for generator circuit breakers. • Optimal first-pole-to-clear selection is the phase with medium asymmetrical degree. • Contacts are controlled to separate near predicted current zeros at the end of small half-waves. • Combining optimal pole selection and current-zero prediction ensures low arc energy and high reliability. The high asymmetrical degree (AD, >100 %) of the fault current fed by high-capacity turbine generator (HTG) results in high arc energy ( E arc ), hindering reliable interruptions of generator circuit breakers (GCBs). Traditional GCBs with simultaneous three-phase separation at random moments suffer from uncontrollable arcing time and high E arc , severely undermining the interruption reliability of GCB. To limit E arc , GCBs with phase-separated operation mechanism should be applied, along with the first pole to clear (FPTC) selection and ideal current-zero prediction. Contributions of the paper are: first, it is revealed the phase with medium AD should be selected as the FPTC, and contacts should be controlled to separate near the current zero at the end of a small half-wave. Second, combined with FPTC selection and ideal current-zero prediction, an interruption strategy is proposed, which can limit E arc to <50 kJ in random faults, improving the GCB interrupting reliability for highly asymmetrical currents. Simulation results verified its effectiveness.

International Journal of Electrical Power & Energy SystemsVol. 172
Tianjin University (CN), Highlands and Islands Enterprise (GB)
Affordable and clean energy
Openalex Percentile: Top 51%
Water Systems and Optimization
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.