Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks

Athanasios Lazaropoulos

doi:10.17737/tre.2018.4.2.0077

Abstract

This second paper assesses the performance of piecewise monotonic data approximations, such as L1PMA, L2WPMA and L2CXCV, against the measurement differences during the spectral efficiency (SE) calculations in overhead medium-voltage broadband over power lines (OV MV BPL) networks. In this case study paper, the performance of the aforementioned three already known piecewise monotonic data approximations, which are considered as countermeasure techniques against measurement differences, is here extended during the SE computations. The indicative BPL topologies of the first paper are again considered while the 3-30 MHz frequency band of the BPL operation is assumed. Citation: Lazaropoulos, A. G. (2018). Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 2: L1PMA, L2WPMA and L2CXCV for SE against Measurement Differences in Overhead Medium-Voltage BPL Networks. Trends in Renewable Energy, 4, 185-212. DOI: 10.17737/tre.2018.4.2.0077

Highlights

Smart energy is a sustainable and worthwhile energy system where energy production, transmission and delivery are integrated and coordinated with the energy consumption, smart grid applications, energy services, active producers / consumers, renewable / storage solutions and enabling communications technologies
In order to cope with the measurement differences, various monotonic data approximation methods, which treated as countermeasure techniques against measurement differences, have been proposed by Demetriou, such as L1PMA, L2WPMA
Various topologies of OV MV Broadband over Power Lines (BPL) networks, which have been presented in Sec.2.2 of [4] and are common in [36], [37], are here simulated with the purpose of comparatively benchmarking the spectral efficiency (SE) mitigation efficiency of L1PMA, L2WPMA and L2CXCV against measurement differences added during the transfer function determination

Summary

Introduction

Smart energy is a sustainable and worthwhile energy system where energy production, transmission and delivery are integrated and coordinated with the energy consumption, smart grid applications, energy services, active producers / consumers, renewable / storage solutions and enabling communications technologies. To mitigate the aforementioned measurement differences that further affect the statistical performance metrics, three well-known piecewise monotonic data approximations (i.e., L1PMA, L2WPMA and L2CXCV) are going to be applied [23]-[32]. Useful results, which are going to be adopted in this paper, concerning the application properties of piecewise monotonic data approximations against the measurement differences during the channel attenuation computations have been deduced in [36], [37]. The countermeasure efficiency of the L1PMA, L2WPMA and L2CXCV against the measurement differences during the SE computation is assessed for comparison reasons on the basis of: (i) the main performance metric of the piecewise monotonic data approximation method [33], [36], that is the percent error sum (PES); and (ii) the statistical performance metrics of set A and B that already been applied in [4].

Measurement Differences and Piecewise Monotonic Data Approximation Methods

Performance Metrics

Numerical Results and Discussion

Conclusions