电力系统保护与控制2026，Vol.54Issue(1)：105-116,12.DOI:10.19783/j.cnki.pspc.250316
基于多端口断路器的柔直配电系统故障性质辨识与恢复方案
Fault nature identification and recovery scheme for flexible DC distribution systems based on multi-port circuit breakers
摘要
Abstract
To address the issues of secondary overcurrent impacts caused by blind reclosing after faults in flexible DC distribution systems,as well as slow recovery due to current fluctuations during the fault recovery process,this paper proposes a fault nature identification and recovery scheme for flexible DC distribution systems based on multi-port circuit breakers.First,the topology of a multi-port circuit breaker integrating a multifunctional power flow control module is analyzed.By merging redundant units with identical functions and similar structures,the integration level and economic performance of the device are improved.Subsequently,by actively injecting current signals into the faulty line through the control of this module,the fault nature is identified,and a dynamically adjustable weighted combination criterion is constructed to enhance identification reliability.During the fault recovery stage,the intrinsic power flow control capability of the module is utilized to suppress the transient current impacts arising from the voltage difference between the converter stations at both ends of the line,while enhancing the system's dynamic response to power flow changes after recovery.Finally,a ring-type flexible DC distribution network model is established in PSCAD/EMTDC for simulation analysis,verifying that the proposed scheme features high reliability in fault identification,a high level of functional integration and wide applicability.关键词
故障性质辨识/故障恢复/多功能潮流控制模块/多端口直流断路器/柔直配电系统Key words
fault nature identification/fault recovery/multifunctional power flow control module/multi-port DC circuit breaker/flexible DC distribution system引用本文复制引用
戴志辉,石浚阳,李毅然,李涵伟,张轩毅,杨淳皓..基于多端口断路器的柔直配电系统故障性质辨识与恢复方案[J].电力系统保护与控制,2026,54(1):105-116,12.基金项目
This work is supported by the Natural Science Foundation of Hebei Province(No.E2024502043). 河北省自然科学基金项目资助(E2024502043) （No.E2024502043）
