电力系统保护与控制2025，Vol.53Issue(11)：14-29,16.DOI:10.19783/j.cnki.pspc.240654
基于LCC注入信号归一化面积差的混合多端直流输电系统永久性故障识别方案
Permanent fault identification scheme for hybrid MTDC systems based on normalized area difference of LCC injected signals
摘要
Abstract
To prevent secondary damage caused by reclosing onto permanent faults in hybrid multi-terminal DC(MTDC)systems,a permanent fault identification scheme based on line commutation converter(LCC)signal injection is proposed.First,leveraging the fault control ability of LCC,an additional control strategy is applied to the LCC firing angle to realize signal injection.The frequency,duration and amplitude of the injected signal are analyzed and determined,and an LCC signal injection strategy is formulated.Secondly,the voltage difference after signal injection under different fault properties is analyzed using a distributed parameter model.It is found that due to differences in line models,there is a significant amplitude difference between the measured voltage at the local end and the calculated voltage at the remote end under different fault properties.Finally,a normalized area difference is constructed based on the above amplitude difference to realize permanent fault identification.PSCAD/EMTDC simulation results show that the proposed scheme utilizes single end data,is immune to data communication issues,requires no simulation-based parameter tuning,and can reliably identify permanent faults.It is capable of withstanding 400 Ω fault resistance and 40 dB noise interference,and is suitable for lines up to 1500 km in length.关键词
混合多端直流输电系统/永久性故障识别/注入信号/幅值差异/归一化面积差Key words
hybrid MTDC power system/permanent fault identification/signal injection/amplitude difference/normalized area difference引用本文复制引用
高超,侯俊杰,樊艳芳,宋国兵,吴小芳,李鹏霄..基于LCC注入信号归一化面积差的混合多端直流输电系统永久性故障识别方案[J].电力系统保护与控制,2025,53(11):14-29,16.基金项目
This work is supported by the National Key Research and Development Program of China(No.2021YFB1507000). 国家重点研发计划项目资助(2021YFB1507000) （No.2021YFB1507000）
新疆维吾尔自治区自然科学基金项目资助(2022D01C662) （2022D01C662）
"天池英才"引进计划项目资助 （）
"天山英才培养"计划项目资助(2022TSYCLJ0019) （2022TSYCLJ0019）
