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A PLC communication characteristics-based fault location method in MV meshed distribution networks
  • +2
  • Mingang Tan,
  • Yi Tang,
  • Chaohai Zhang,
  • Bin Chen,
  • Junliang Qian
Mingang Tan
Nanjing University of Aeronautics and Astronautics

Corresponding Author:[email protected]

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Yi Tang
Southeast University
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Chaohai Zhang
Nanjing University of Aeronautics and Astronautics
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Bin Chen
Nanjing University of Aeronautics and Astronautics
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Junliang Qian
Nanjing University of Aeronautics and Astronautics
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Abstract

A power line carrier (PLC) communication characteristics-based method is proposed for single-phase-to-ground fault location in neutral isolated medium voltage (MV) meshed distribution networks in this paper. The carrier signals with a time-varying frequency and constant amplitude are processed by a set of PLC transmitters and receivers, whose placement is optimized by regarding the power network as an undirected graph. Two signal encoding and decoding algorithms for the PLC terminals are proposed to avoid using expensive timing systems between the terminals. The fault location technique is implemented by comparing the cosine similarity of amplitude attenuation (AA) and phase offset (PO) between the fault and a library. The node corresponding to the maximum cosine similarity of the characteristics between the present fault and the library is selected as the location of the current fault. Only one set of low-cost PLC communication terminals and the widely available power lines are needed in the fault location system, making this approach highly practical. Numerical simulations using MATLAB/Simulink have been performed to verify the technique’s feasibility. The results show that the method can accurately locate faults in neutral isolated MV meshed distribution networks. Besides, the presented approach achieves high accuracy in estimating transition resistance values.
30 Mar 2023Submitted to IET Generation, Transmission & Distribution
03 Apr 2023Submission Checks Completed
03 Apr 2023Assigned to Editor
01 May 2023Reviewer(s) Assigned
31 Jul 2023Review(s) Completed, Editorial Evaluation Pending
01 Aug 2023Editorial Decision: Revise Minor
08 Aug 20231st Revision Received
24 Aug 2023Submission Checks Completed
24 Aug 2023Assigned to Editor
24 Aug 2023Review(s) Completed, Editorial Evaluation Pending
25 Aug 2023Reviewer(s) Assigned
01 Sep 2023Editorial Decision: Accept