Email this article Management Information Systems and Data Science in the Smart Grid - Inner Class Area Capacity Distribution of the iSHM Class Maps of Overhead Low-Voltage Broadband over Power Lines Topologies
Abstract
On the basis of the initial Statistical Hybrid Model (iSHM), the iSHM class maps, which are 2D contour plots and may graphically classify the real and virtual OV LV BPL topologies into five class areas, are upgraded in this paper by exploiting the third dimension of the capacity so that the upgraded class maps can provide additional information concerning the inner class area capacity distribution. The comprehension of the behavior of the inner class area capacity distribution is critical in order to deeper understand the extent and the position of iSHM class map footprints when various operation conditions of OV LV BPL topologies occur. Two inner class area capacity distribution rule of thumbs that deal with the OV LV BPL topology classification and capacity estimation are proposed thus supporting the management information system of OV LV BPL networks.
Citation: Lazaropoulos, A. (2020). Management Information Systems and Data Science in the Smart Grid - Inner Class Area Capacity Distribution of the iSHM Class Maps of Overhead Low-Voltage Broadband over Power Lines Topologies. Trends in Renewable Energy, 6(3), 245-265. doi:http://dx.doi.org/10.17737/tre.2020.6.3.00122
Keywords
Full Text:
FULL TEXT (PDF)References
Y. J. A. Zhang, H. P. Schwefel, H. Mohsenian-Rad, C. Wietfeld, C. Chen, and H. Gharavi, Guest Editorial Special Issue on Communications and Data Analytics in Smart Grid, IEEE Journal on Selected Areas in Communications, vol. 38, no. 1, pp. 1-4, 2020.
A. G. Lazaropoulos, Wireless Sensor Network Design for Transmission Line Monitoring, Metering and Controlling Introducing Broadband over PowerLines-enhanced Network Model (BPLeNM), ISRN Power Engineering, vol. 2014, Article ID 894628, 22 pages, 2014. doi:10.1155/2014/894628. [Online]. Available: http://www.hindawi.com/journals/isrn.power.engineering/2014/894628/
A. M. Tonello and T. Zheng, Bottom-up transfer function generator for broadband PLC statistical channel modeling, In Proc. IEEE International Symposium on Power Line Communications and Its Applications 2009, ISPLC 2009, pp. 7-12, Mar. 2009.
A. M. Tonello and F. Versolatto, Bottom-up statistical PLC channel modeling-Part I: Random topology model and efficient transfer function computation, IEEE Transactions on Power Delivery, vol. 26, no. 2, pp. 891-898, 2011.
A. Pittolo and A. M. Tonello, A synthetic statistical mimo plc channel model applied to an in-home scenario, IEEE Trans. on Commun., vol. 65, no. 6, pp. 2543-2553, 2017.
A. M. Tonello and F. Versolatto, Bottom-up statistical PLC channel modeling-Part II: Inferring the statistics, IEEE Trans. on Power Del., vol. 25, no. 4, pp. 2356-2363, 2010.
A. G. Lazaropoulos, Statistical Broadband over Power Lines Channel Modeling -Part 1: The Theory of the Statistical Hybrid Model, Progress in Electromagnetics Research C, vol. 92, pp. 1-16, 2019. [Online]. Available: http://www.jpier.org/PIERC/pierc92/01.19012902.pdf
A. G. Lazaropoulos, Statistical Broadband over Power Lines (BPL) Channel Modeling -Part 2: The Numerical Results of the Statistical Hybrid Model, Progress in Electromagnetics Research C, vol. 92, pp. 17-30, 2019. [Online]. Available: http://www.jpier.org/PIERC/pierc92/02.19012903.pdf
A. G. Lazaropoulos, Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution, Trends in Renewable Energy, vol. 5, no. 2, pp. 181-217, 2019. [Online]. Available: http://futureenergysp.com/index.php/tre/article/view/96/pdf
T. Oliveira, A. Picorone, C. Zeller, S. Netto, and M. Ribeiro, Statistical Modeling of Brazilian In-Home PLC Channel Features, Journal of Communication and Information Systems, vol. 34, no. 1, pp. 154-168, 2019.
T. R. Oliveira, C. B. Zeller, S. L. Netto, and M. V. Ribeiro, Statistical modeling of the average channel gain and delay spread in in-home PLC channels, in Proc. in IEEE International Symposium on Power Line Communications and Its Applications, pp. 184-188, Austin, TX, USA Mar. 2015.
J. A. Cortes, F. J. Canete, L. Dıez, and J. L. G. Moreno, On the statistical properties of indoor power line channels: Measurements and models, in Proc. IEEE International Symposium on Power Line Communications and Its Applications, pp. 271-276, Apr. 2011.
A. M. Tonello, F. Versolatto, and A. Pittolo, In-home power line communication channel: Statistical characterization, IEEE Trans. on Commun., vol. 62, no. 6, pp. 2096-2106, Jun. 2014.
S. Galli, A novel approach to the statistical modeling of wireline channels, IEEE Trans. on Commun., vol. 59, no. 5, pp. 1332-1345, May 2011.
A. G. Lazaropoulos and P. G. Cottis, Transmission characteristics of overhead medium voltage power line communication channels, IEEE Trans. Power Del., vol. 24, no. 3, pp. 1164-1173, Jul. 2009.
A. G. Lazaropoulos and P. G. Cottis, Broadband transmission via underground medium-voltage power lines-Part I: transmission characteristics, IEEE Trans. Power Del., vol. 25, no. 4, pp. 2414-2424, Oct. 2010.
A. G. Lazaropoulos, Towards Modal Integration of Overhead and Underground Low-Voltage and Medium-Voltage Power Line Communication Channels in the Smart Grid Landscape: Model Expansion, Broadband Signal Transmission Characteristics, and Statistical Performance Metrics (Invited Paper), ISRN Signal Processing, vol. 2012, Article ID 121628, pp. 1-17, 2012. [Online]. Available: http://www.hindawi.com/isrn/sp/2012/121628/
A. G. Lazaropoulos, Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models -Part 2: Numerical Results for the Overhead and Underground Medium-Voltage Power Grids, Trends in Renewable Energy, vol. 5, no. 3, pp. 258-281, Aug. 2019. [Online]. Available: http://futureenergysp.com/index.php/tre/article/view/100/pdf
A. G. Lazaropoulos, Business Analytics and IT in Smart Grid -Part 2: The Qualitative Mitigation Impact of Piecewise Monotonic Data Approximations on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies Contaminated by Measurement Differences, Trends in Renewable Energy, vol. 6, no. 2, pp. 187-213, 2020. [Online]. Available: http://futureenergysp.com/index.php/tre/article/download/118/94
A. G. Lazaropoulos, Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks -Part 2: The Numerical Results of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook Style Energy Thefts, Trends in Renewable Energy, vol. 6, no. 1, pp. 88-109, Mar. 2020. [Online]. Available: http://futureenergysp.com/index.php/tre/article/download/113/pdf
I. C. Demetriou and M. J. D. Powell, Least squares smoothing of univariate data to achieve piecewise monotonicity, IMA Journal of Numerical Analysis, vol. 11, no. 3, pp. 411-432, 1991.
A. G. Lazaropoulos, Business Analytics and IT in Smart Grid -Part 1: The Impact of Measurement Differences on the iSHM Class Map Footprints of Overhead Low-Voltage Broadband over Power Lines Topologies, Trends in Renewable Energy, vol. 6, no. 2, pp. 156-186, 2020. [Online]. Available: http://futureenergysp.com/index.php/tre/article/download/117/93
A. G. Lazaropoulos, Statistical Channel Modeling of Overhead Low Voltage Broadband over Power Lines (OV LV BPL) Networks -Part 1: The Theory of Class Map Footprints of Real OV LV BPL Topologies, Branch Line Faults and Hook-Style Energy Thefts, Trends in Renewable Energy, vol. 6, no. 1, pp. 61-87, Mar. 2020. [Online]. Available: http://futureenergysp.com/index.php/tre/article/download/112/pdf
A. G. Lazaropoulos, Virtual Indicative Broadband over Power Lines Topologies for Respective Subclasses by Adjusting Channel Attenuation Statistical Distribution Parameters of Statistical Hybrid Models -Part 1: Theory, Trends in Renewable Energy, vol. 5, no. 3, pp. 237-257, Aug. 2019. [Online]. Available: http://futureenergysp.com/index.php/tre/article/view/99/pdf
A. G. Lazaropoulos, 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, vol. 3, no. 2, pp. 102-128, Apr. 2017. [Online]. Available: http://futureenergysp.com/index.php/tre/article/view/34
A. G. Lazaropoulos, Detection of Energy Theft in Overhead Low-Voltage Power Grids -The Hook Style Energy Theft in the Smart Grid Era, Trends in Renewable Energy, vol. 5, no. 1, pp. 12-46, Oct. 2018. [Online]. Available: http://futureenergysp.com/index.php/tre/article/view/81/pdf
DOI: http://dx.doi.org/10.17737/tre.2020.6.3.00122
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 Athanasios G. Lazaropoulos
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 License.Copyright @2014-2025 Trends in Renewable Energy (ISSN: 2376-2136, online ISSN: 2376-2144)