王晓东, 王永浩, 刘颖明, 高兴. 海上风电场集电多分支线路故障区段定位方法[J]. 太阳能学报, 2023, 44(1): 163-170. DOI: 10.19912/j.0254-0096.tynxb.2021-0568
引用本文: 王晓东, 王永浩, 刘颖明, 高兴. 海上风电场集电多分支线路故障区段定位方法[J]. 太阳能学报, 2023, 44(1): 163-170. DOI: 10.19912/j.0254-0096.tynxb.2021-0568
Wang Xiaodong, Wang Yonghao, Liu Yingming, Gao Xing. FAULT BRANCH LOCATION FOR MULTI-BRANCH COLLECTION LINES OF OFFSHORE WIND FARM[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 163-170. DOI: 10.19912/j.0254-0096.tynxb.2021-0568
Citation: Wang Xiaodong, Wang Yonghao, Liu Yingming, Gao Xing. FAULT BRANCH LOCATION FOR MULTI-BRANCH COLLECTION LINES OF OFFSHORE WIND FARM[J]. Acta Energiae Solaris Sinica, 2023, 44(1): 163-170. DOI: 10.19912/j.0254-0096.tynxb.2021-0568

海上风电场集电多分支线路故障区段定位方法

FAULT BRANCH LOCATION FOR MULTI-BRANCH COLLECTION LINES OF OFFSHORE WIND FARM

  • 摘要: 针对海上风电场集电多分支线路导致的故障定位精度不高的问题,提出一种基于行波原理与故障分支判定矩阵的故障区段定位方法。分析风电场拓扑结构和行波波头传输路径,建立固有距离差值矩阵。利用变分模态分解(VMD)和Teager能量算子(TEO)标定各端故障初始行波波头,并根据双端行波法得出故障距离差值矩阵。通过计算故障距离差值矩阵与固有距离差值矩阵的差值,构建故障分支判据判定矩阵,并根据不同故障点判定矩阵之间的差别,提出相应的故障区段判定依据。仿真结果表明:所提故障区段定位方法精确率高,且不受过渡电阻、故障类型等因素的影响。

     

    Abstract: To solve the problem of poor accuracy of fault location caused by multi-branch collector line of offshore wind farms,a fault section location method based on traveling wave principle and fault branch criterion matrix is proposed. Inherent distance difference matrix(IDDM)is established through analyzing wind farm topology and the transmission path of traveling wave. Variational Mode Decomposition(VMD)and Teager Energy Operation(TEO)are used to determine the arriving time of initial traveling wave to each terminal. Then,fault distance different matrix(FDDM)is obtained by the two-terminal traveling wave method,and calculating the difference between IDDM and FDDM to establish the fault branch criterion matrix(FBCM). The corresponding fault section criterion is proposed according to the difference of FBCM at different fault sections. The simulation result show that the proposed method can accurately determine fault section and it is robust to transition resistances,fault types and other factors,which has high accuracy rate.

     

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