Next Article in Journal
Screening of Available Tools for Dynamic Mooring Analysis of Wave Energy Converters
Next Article in Special Issue
Bandwidth and Accuracy-Aware State Estimation for Smart Grids Using Software Defined Networks
Previous Article in Journal
Characterization and Production of Fuel Briquettes Made from Biomass and Plastic Wastes
Previous Article in Special Issue
Prototyping a Software Defined Utility
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Energies 2017, 10(7), 857; https://doi.org/10.3390/en10070857

Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies

1
Romanian Energy Center, 011838 Bucharest, Romania
2
Rheinisch-Westfälische Technische Hochschule Aachen—RWTH, 52062 Aachen, Germany
3
Synelixis, GR-34100 Chalkida, Greece
4
R&D Department, Teamware, 20128 Milan, Italy
5
Engineering Ingegneria Informatica S.p.A, Engineering, 00148 Rome, Italy
6
Department of Electrical Power Systems, University Politehnica of Bucharest, 060042 Bucharest, Romania
7
Department of Strategy, Electrica, 010621 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Received: 25 May 2017 / Revised: 19 June 2017 / Accepted: 19 June 2017 / Published: 27 June 2017
(This article belongs to the Special Issue ICT for Energy)
Full-Text   |   PDF [4826 KB, uploaded 27 June 2017]   |  

Abstract

The latest technological developments are challenging for finding new solutions to mitigate the massive integration of renewable-based electricity generation in the electrical networks and to support new and dynamic energy and ancillary services markets. Smart meters have become ubiquitous equipment in the low voltage grid, enabled by the decision made in many countries to support massive deployments. The smart meter is the only equipment mandatory to be mounted when supplying a grid connected user, as it primarily has the function to measure delivered and/or produced energy on its common coupling point with the network, as technical and legal support for billing. Active distribution networks need new functionalities, to cope with the bidirectional energy flow behaviour of the grid, and many smart grid requirements need to be implemented in the near future. However there is no real coupling between smart metering systems and smart grids, as there is not yet a synergy using the opportunity of the high deployment level in smart metering. The paper presents a new approach for managing the smart metering and smart grid orchestration by presenting a new general design based on an unbundled smart meter (USM) concept, labelled as next generation open real-time smart meters (NORM), for integrating the smart meter, phasor measurement unit (PMU) and cyber-security through an enhanced smart metering gateway (SMG). NORM is intended to be deployed everywhere at the prosumer’s interface to the grid, as it is usually now done with the standard meter. Furthermore, rich data acquired from NORM is used to demonstrate the potential of assessing grid data inconsistencies at a higher level, as function to be deployed in distribution security monitoring centers, to address the higher level cyber-security threats, such as false data injections and to allow secure grid operations and complex market activities at the same time. The measures are considering only non-sensitive data from a privacy perspective, and is therefore able to be applied everywhere in the grid, down to the end-customer level, where a citizen’s personal data protection is an important aspect. View Full-Text
Keywords: prosumer; smart meter; PMU; cyber-security; USM; smart grid; NORM prosumer; smart meter; PMU; cyber-security; USM; smart grid; NORM
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Sanduleac, M.; Lipari, G.; Monti, A.; Voulkidis, A.; Zanetto, G.; Corsi, A.; Toma, L.; Fiorentino, G.; Federenciuc, D. Next Generation Real-Time Smart Meters for ICT Based Assessment of Grid Data Inconsistencies. Energies 2017, 10, 857.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top