Main Line Fault Localization Methodology in Smart Grid - Part 3: Main Line Fault Localization Methodology (MLFLM)

Athanasios G. Lazaropoulos

Abstract


Since the main distribution line faults can be securely identified as outlined in the first and second paper, this third paper presents the methodology of localizing the main distribution line fault when broadband over power lines (BPL) networks have already been deployed across the distribution power grids. The main issue of this paper is the detailed presentation of the main line localization methodology (MLFLM) as well as well as its performance assessment when measurement differences occur.

The contribution of this paper, which is focused on the application of MLFLM, is double. First, the procedure, which is followed in order to create the database of faults and is used by MLFLM, is here analytically presented. This database is based on the application of the main distribution line fault identification percentage metric (MDLFI) to coupling reflection coefficients of all possible fault OV MV BPL topologies (modified OV MV BPL topologies). Second, the performance assessment of MLFLM is investigated with respect to the nature of the measurement differences and the location of main distribution line faults across the distribution power grid.

Citation: Lazaropoulos, A. (2017). Main Line Fault Localization Methodology in Smart Grid – Part 3: Main Line Fault Localization Methodology (MLFLM). Trends in Renewable Energy, 3(3), 62-81. doi:http://dx.doi.org/10.17737/tre.2017.3.3.0038


Keywords


Smart Grid; Intelligent Energy Systems; Broadband over Power Lines (BPL) Networks; Power Line Communications (PLC); Faults; Fault Analysis; Fault Localization; Distribution Power Grids

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DOI: http://dx.doi.org/10.17737/tre.2017.3.3.0038

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