Multi-section frequency dependent line model enabled underground cable fault location in MMC-HVDC grids using dynamic state estimation
2023-11
发表期刊INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS (IF:5.0[JCR-2023],4.6[5-Year])
ISSN0142-0615
EISSN1879-3517
卷号153
发表状态已发表
DOI10.1016/j.ijepes.2023.109322
摘要

Line parameters of underground cables (UGCs) in MMC-HVDC grids experience severe frequency dependent characteristics. For fault location of UGCs in MMC-HVDC grids, existing methods usually neglect the frequency dependent line parameters, which limits the fault location accuracy. To overcome this issue, a dynamic state estimation based fault location (DSEFL) method for UGCs in the MMC-HVDC grid is proposed in this paper. Firstly, the dynamic line model of the UGC based on the multi-section multi-layer model is formulated to consider both frequency dependent and distributed characteristics of the line parameters. Next, the DSE algorithm is used to solve the dynamic line model and the consistency indicator with respect to the determined fault location and resistance. Due to the complexity of the multi-layer model, a multi-step algorithm is designed to efficiently obtain the fault location result. Numerical experiments on MMC-HVDC grids verify that the proposed DSEFL method presents higher fault location accuracy for different fault types, locations, and resistances. compared to the existing methods. In addition, the computation burden, effects of measurement noises, parameter errors, and sampling rates are also discussed. © 2023

关键词Frequency estimation HVDC power transmission Numerical methods State estimation Underground cables Dynamic state estimation Frequency dependent characteristics Frequency dependent line model Line parameters Location accuracy Location method MMC-HVDC grid Multi-section Multilayer models
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收录类别SCI ; EI
语种英语
资助项目National Natural Science Foundation of China[51807119] ; Key Laboratory of Control of Power Transmission and Conversion (SJTU) , Ministry of Education[2022AB01]
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:001038474800001
出版者Elsevier Ltd
EI入藏号20232614321502
EI主题词Location
EI分类号706.1.1 Electric Power Transmission ; 706.2 Electric Power Lines and Equipment ; 731.1 Control Systems ; 921.6 Numerical Methods
原始文献类型Journal article (JA)
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文献类型期刊论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/316856
专题信息科学与技术学院
信息科学与技术学院_PI研究组_刘宇组
信息科学与技术学院_博士生
通讯作者Liu, Yu
作者单位
1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China
2.Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Minist Educ, Key Lab Control Power Transmiss & Convers SJTU, Shanghai 200240, Peoples R China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
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GB/T 7714
Wang, Binglin,Liu, Yu,Lu, Dayou,et al. Multi-section frequency dependent line model enabled underground cable fault location in MMC-HVDC grids using dynamic state estimation[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS,2023,153.
APA Wang, Binglin,Liu, Yu,Lu, Dayou,Pan, Ruiyu,&Yue, Kang.(2023).Multi-section frequency dependent line model enabled underground cable fault location in MMC-HVDC grids using dynamic state estimation.INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS,153.
MLA Wang, Binglin,et al."Multi-section frequency dependent line model enabled underground cable fault location in MMC-HVDC grids using dynamic state estimation".INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS 153(2023).
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