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 Pub Date : 2020-05-01 DOI:10.17737/tre.2020.6.2.00117

A. Lazaropoulos

{"title":"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","authors":"A. Lazaropoulos","doi":"10.17737/tre.2020.6.2.00117","DOIUrl":null,"url":null,"abstract":"Due to the smart grid (SG) operation, the power utilities are dealing with a cataclysm of big data that demands advanced information technology (IT) infrastructure and business analytics while one cause of this growth is the nature of the power grid operation that demands real-time measurements. In [1], [2], the theoretical framework and the numerical results for the interoperability of Deterministic Hybrid Model (DHM), initial Statistical Hybrid Model (iSHM), the definition procedure and the class maps have been presented for the overhead low-voltage broadband over power lines (OV LV BPL) networks as well as the iSHM footprints. On the basis of the five real indicative OV LV BPL topologies of [1], [2], the impact of measurement differences that follow either continuous uniform distributions (CUDs) or normal distributions (NDs) of different intensities is first highlighted on iSHM footprints. Citation: Lazaropoulos, A. G. (2020). 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, 6, 146-176. DOI: 10.17737/tre.2020.6.2.00117","PeriodicalId":23305,"journal":{"name":"Trends in Renewable Energy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Renewable Energy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17737/tre.2020.6.2.00117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

Due to the smart grid (SG) operation, the power utilities are dealing with a cataclysm of big data that demands advanced information technology (IT) infrastructure and business analytics while one cause of this growth is the nature of the power grid operation that demands real-time measurements. In [1], [2], the theoretical framework and the numerical results for the interoperability of Deterministic Hybrid Model (DHM), initial Statistical Hybrid Model (iSHM), the definition procedure and the class maps have been presented for the overhead low-voltage broadband over power lines (OV LV BPL) networks as well as the iSHM footprints. On the basis of the five real indicative OV LV BPL topologies of [1], [2], the impact of measurement differences that follow either continuous uniform distributions (CUDs) or normal distributions (NDs) of different intensities is first highlighted on iSHM footprints. Citation: Lazaropoulos, A. G. (2020). 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, 6, 146-176. DOI: 10.17737/tre.2020.6.2.00117

查看原文本刊更多论文

智能电网中的业务分析和IT -第1部分:测量差异对架空低压宽带在电力线拓扑上的iSHM类地图足迹的影响

由于智能电网(SG)的运行，电力公司正在处理大数据的灾难，这需要先进的信息技术(IT)基础设施和业务分析，而这种增长的一个原因是电网运行的性质，需要实时测量。在[1]和[2]中，给出了确定性混合模型(DHM)、初始统计混合模型(iSHM)互操作性的理论框架和数值结果，并给出了架空低压宽带电路线(OV - LV BPL)网络的定义过程和类图，以及iSHM足迹。在[1]、[2]这5个实际指示性OV LV BPL拓扑的基础上，首先在iSHM足迹上强调了遵循不同强度的连续均匀分布(CUDs)或正态分布(NDs)的测量差异的影响。引用本文:Lazaropoulos, a.g.(2020)。智能电网中的业务分析和IT -第1部分:测量差异对架空低压宽带在电力线拓扑上的iSHM类地图足迹的影响可再生能源趋势，6,146-176。DOI: 10.17737 / tre.2020.6.2.00117

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Trends in Renewable Energy

自引率

0.00%

发文量