电力工程技术2026，Vol.45Issue(1)：39-50,12.DOI:10.12158/j.2096-3203.2026.01.004
基于限流电感的MMC-HVDC电网故障检测与保护方案
Fault detection and protection scheme of MMC-HVDC power grid based on current limiting inductance
摘要
Abstract
Fault detection and protection of modular multilevel converter high voltage direct current(MMC-HVDC)power grids constitute a critical technology within the domain of electric power systems.When the DC power grid fails,equipment damage is caused and grid stability is jeopardized by the rapid escalation of fault currents.Consequently,extremely high requirements are placed on the rapidity and reliability of the fault protection system.By comparing the changes in the voltage value of the current limiting inductor on the line before and after the fault,a method for identifying line faults using the voltage ratio of the current limiting inductor is proposed.The proposed method is validated using a four-terminal MMC-HVDC power grid model constructed on the PSCAD/EMTDC simulation platform.The validation encompasses fault initiation,type identification,and pole selection.Through accurate fault identification,the appropriate DC circuit breaker(DCCB)is activated to isolate the fault effectively.Additionally,feasibility analysis is conducted on system performance metrics along with four critical factors:fault transition resistance values,post-fault noise interference,fault location variations,and communication error impacts.The final research outcomes demonstrate that the proposed fault protection scheme can accurately detect and rapidly isolate faults,thereby safeguarding the stable operation of the power grid.关键词
模块化多电平换流器型柔性直流输电(MMC-HVDC)/限流电感/故障检测/直流断路器(DCCB)/直流线路保护/母线保护Key words
modular multilevel converter high voltage direct current(MMC-HVDC)/current limiting inductance/fault detection/DC circuit breaker(DCCB)/DC line protection/busbar protection分类
信息技术与安全科学引用本文复制引用
韩雪,梁慧琳..基于限流电感的MMC-HVDC电网故障检测与保护方案[J].电力工程技术,2026,45(1):39-50,12.基金项目
重庆市自然科学基金资助项目(CSTB2022NSCQ-MSX2183)本文得到重庆市教育委员会科学技术研究项目(KJQN202300752)资助,谨此致谢! （CSTB2022NSCQ-MSX2183）
