PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
January 6, 2026Energies0 citationsOpen Access

Fast Fault Identification Scheme for MMC-HVDC Grids Based on a Novel Current-Limiting DC Circuit Breaker

View Full Paper
QCQiuyu CaoZLZhiyan LiXZXinsong Zhang

Key Points

  • This research aims to improve fault detection in Modular Multilevel Converter-based HVDC grids using a novel circuit breaker.
  • Introduces a current-limiting DC circuit breaker (DCCB) for MMC-HVDC grids.
  • Develops a fast fault detection scheme with primary and backup protection.
  • Validates the approach using a four-terminal MMC-HVDC simulation model in PSCAD/EMTDC.
  • The proposed DCCB significantly reduces fault current effects on MMC.
  • Demonstrates excellent fault detection performance in simulations.
  • Analyzes voltage and current behavior during DCCB interruption processes.

Abstract

The development of high-performance DC circuit breakers (DCCBs) and rapid fault detection schemes is a crucial and challenging part of advancing Modular Multilevel Converter (MMC) HVDC grids. This paper introduces a new current-limiting DCCB that uses the differential discharge times of shunt capacitors to generate artificial current zero-crossings, thus facilitating arc quenching. This mechanism significantly reduces the effect of fault currents on the MMC. The shunt capacitors and arresters in the proposed breaker also offer voltage support during faults, effectively stopping transient traveling waves from spreading to nearby non-fault lines. This feature creates an effective line protection boundary in multi-terminal HVDC systems. Additionally, a fast fault detection scheme with primary and backup protection is proposed. A four-terminal MMC-HVDC (±500 kV) simulation model is built in PSCAD/EMTDC to validate the scheme. The results demonstrate the excellent fault detection performance of the proposed method. The voltage and current behavior during the interruption process of the new DCCB is also analyzed and compared with that of a hybrid DCCB.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/695d85543483e917927a4910https://doi.org/10.3390/en19010272
Ask AI
Helpful
Bookmark
Share
View Full Paper