Abstract
This first paper considers the identification of the structure of overhead high-voltage broadband over power lines (OV HV BPL) network topologies by applying the best L1 Piecewise Monotonic data Approximation (best L1PMA) to measured OV HV BPL transfer functions. Even if measurement differences occur during the determination of an OV HV BPL transfer function, the corresponding OV HV BPL network topology may be revealed through the curve similarity of the best L1PMA result compared with the available records of the proposed OV HV BPL transfer function database. The contribution of this paper is triple. First, based on the inherent piecewise monotonicity of OV HV BPL transfer functions, best L1PMA is first applied during the determination of theoretical and measured OV HV BPL transfer functions. Second, the creation procedure of the OV HV BPL network topology database is demonstrated as well as the curve similarity performance metric (CSPM). Third, the accuracy of the proposed Topology Identification Methodology (TIM) is examined in comparison with the traditional TIM with respect to the nature of the measurement differences during the determination of OV HV BPL transfer functions. Citation: Lazaropoulos, A. G. (2016). Measurement Differences, Faults and Instabilities in Intelligent Energy Systems – Part 1: Identification of Overhead High-Voltage Broadband over Power Lines Network Topologies by Applying Topology Identification Methodology (TIM). Trends in Renewable Energy, 2(3), 85-112. DOI: 10.17737/tre.2016.2.3.0026
Highlights
The deployment of broadband over power lines (BPL) networks across the traditional overhead high-voltage (OV HV) power grid provides a plethora of advantages that render these networks both a useful power grid complement and a strong telecommunications competitor to wireless networking solutions [1]-[4]
Tested in various transmission and distribution BPL networks [8], [24], [28], the hybrid method is based on: (i) a bottom-up approach that consists of the multiconductor transmission line (MTL) theory, eigenvalue decomposition (EVD) and singular value decomposition (SVD) [7], [14], [18], [22], [25], [27], [29], [30]; and (ii) a top-down approach that is denoted as TM2 method and is based on the concatenation of multidimensional chain scattering matrices [5]-[7], [14]-[17], [20]-[22], [26], [29]
When the OV HV BPL network topology, OV HV MTL configuration and the applied coupling scheme are given as inputs, the hybrid method gives as an output the corresponding transfer function
Summary
The deployment of broadband over power lines (BPL) networks across the traditional overhead high-voltage (OV HV) power grid provides a plethora of advantages that render these networks both a useful power grid complement and a strong telecommunications competitor to wireless networking solutions [1]-[4]. When the OV HV BPL network topology, OV HV MTL configuration and the applied coupling scheme are given as inputs, the hybrid method gives as an output the corresponding transfer function. Despite the fact that a plethora of experimental results and theoretical analyses validate the theoretical accuracy of the hybrid method [16], [17], [31], [32], a number of practical reasons and “real-life” conditions may create measurement differences between experimental and theoretical results during the transfer function determination of OV HVBPL network topologies. In accordance with [1], to mitigate the aforementioned measurement differences and restore the underlaid theoretical transfer function, best L1PMA has been successfully applied in distribution BPL networks. Due to its remarkable efficiency to cope with the measurement differences of distribution BPL networks [1], best L1PMA is first applied during the revelation of theoretical OV HV BPL transfer functions.
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