Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) – Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case

Athanasios G. Lazaropoulos

Abstract


The performance of two useful piecewise monotonic data approximation (PMA) applications that are Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) is investigated in this paper for the overhead medium-voltage broadband over power lines (OV MV BPL) networks. TIM and FIIM are applied to OV MV BPL networks when measurement differences, faults and instabilities occur. By exploiting the L1PMA optimal number of monotonic sections, advanced TIM and FIIM are also proposed and applied to OV MV BPL networks. The results of the four PMA applications are compared and it is found that advanced TIM and FIIM achieve higher computational speeds and almost equivalent identification performance in comparison with the respective original TIM and FIIM. Exploiting the better performance metrics of advanced TIM and FIIM, PMA applications provide a stable step towards the real time surveillance and monitoring of transmission and distribution power grid.

Citation: Lazaropoulos, A. G. (2017). Improvement of Power Systems Stability by Applying Topology Identification Methodology (TIM) and Fault and Instability Identification Methodology (FIIM) – Study of the Overhead Medium-Voltage Broadband over Power Lines (OV MV BPL) Networks Case. Trends in Renewable Energy, 3, 102-128. DOI: 10.17737/tre.2017.3.2.0034


Keywords


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

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DOI: http://dx.doi.org/10.17737/tre.2017.3.2.0034

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