Low voltage smart meter for monitoring of power quality disturbances applied in smart grid

被引：41

作者：

Rodrigues Junior, Wilson L. ^{[1
]}

Borges, Fabbio A. S. ^{[2
]}

Veloso, Artur F. da S. ^{[1
]}

Rabelo, Ricardo de A. L. ^{[1
]}

Rodrigues, Joel J. P. C. ^{[1
,3
]}

机构：

[1] Univ Fed Piaui, Teresina, PI, Brazil

[2] Univ Estadual Piaui, Teresina, PI, Brazil

[3] Inst Telecomunicacoes, Lisbon, Portugal

来源：

MEASUREMENT | 2019年 / 147卷

关键词：

Edge computing; Fog computing; Power quality disturbances; Smart meter; Smart grid; FEATURE-EXTRACTION; DEMAND RESPONSE; BIG DATA; CLASSIFICATION; SYSTEM; TRANSFORM; SELECTION; FOG;

D O I：

10.1016/j.measurement.2019.106890

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The large amounts of data collected by smart meters (SM), such as electric energy, water gas consumption and power quality (PQ) metrics, can create a massive flow of data transmitted between consumers and utilities. In this context, an edge-fog-cloud architecture based on a low-cost SM is proposed. The employed SM acquires voltage and current signals to obtain their frequency and amplitude, allowing PQ to be monitored through methods of detection and classification of disturbances in order to send only information about the detected disturbances to the utility, thus reducing network traffic associated with PQ disturbances in Smart Grids. The proposed methodology was embedded at a low-cost SM to enable data exchange with the utility, offering an enormous potential for real scenarios. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：15

共 60 条

[1] Optimized WiMAX Profile Configuration for Smart Grid Communications [J].