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Applied Sciences
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State-of-the-Art of Smart Metering in Electricity Grids
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State-of-the-Art of Smart Metering in Electricity Grids

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (15 February 2019) | Viewed by 15482

Special Issue Editor

Dr. Noelia Uribe Pérez

E-Mail Website
Guest Editor
Digital Lab_Services Area, Tecnalia Research & Innovation, 48160 Derio-Bizkaia, Spain
Interests: energy; communications; distributed energy resources; e-mobility
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Beyond the advantages of digital meters, in terms of quality and accuracy of measurements, smart metering is expected to enable a more resilient and efficient grid, as well as improving the integration of distributed generation and renewable energies. These features rely on the monitoring and management capabilities developed by the communication technologies inherent to the smart metering systems. In addition, since smart metering can be considered as a cornerstone of the smart grid paradigm, a wide range of new applications and services emerge. In this sense, this Special Issue will reflect the most recent developments of smart metering in electricity grids regarding experiences of roll-outs, technologies, services and potential applications at European level.

Dr. Noelia Uribe Pérez
Guest Editor

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Keywords

  • Smart metering
  • Smart grids
  • Grid monitoring, management and control
  • Distributed energy resources
  • Demand side management
  • Energy management and efficiency
  • Communication technologies

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Published Papers (3 papers)

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19 pages, 403 KiB  
Article
Smart Meter Gateways: Options for a BSI-Compliant Integration of Energy Management Systems
by Kevin Förderer, Manuel Lösch, Ralf Növer, Marilen Ronczka and Hartmut Schmeck
Appl. Sci. 2019, 9(8), 1634; https://doi.org/10.3390/app9081634 - 19 Apr 2019
Cited by 17 | Viewed by 7112
Abstract
The introduction of Smart Meter Gateways (SMGWs) to buildings and households creates new opportunities and challenges for energy management systems. While SMGWs provide interfaces for accessing recorded information and enable communication to external parties, they also restrict data access to protect the privacy [...] Read more.
The introduction of Smart Meter Gateways (SMGWs) to buildings and households creates new opportunities and challenges for energy management systems. While SMGWs provide interfaces for accessing recorded information and enable communication to external parties, they also restrict data access to protect the privacy of inhabitants and facility owners. This paper presents an analysis of options for integrating automated (Building) Energy Management Systems (EMSs) into the smart meter architecture based on the technical guidelines for SMGWs by the German Federal Office for Information Security (“Bundesamt für Sicherheit in der Informationstechnik”, BSI). It shows that there are multiple ways for integrating automated EMSs into the German smart metering architecture, although each option comes with its own advantages and restrictions. By providing a detailed discussion of trade-offs, this paper supports EMS designers that will be confronted with differing freedoms and limitations depending on the integration option. Full article
(This article belongs to the Special Issue State-of-the-Art of Smart Metering in Electricity Grids)
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22 pages, 3551 KiB  
Article
Simulation of Achievable Data Rates of Broadband Power Line Communication for Smart Metering
by Petr Mlynek, Jiri Misurec, Pavel Silhavy, Radek Fujdiak, Jan Slacik and Zeynep Hasirci
Appl. Sci. 2019, 9(8), 1527; https://doi.org/10.3390/app9081527 - 12 Apr 2019
Cited by 20 | Viewed by 4133
Abstract
Building real Smart Metering and Smart Grid networks is very expensive and time-consuming and also it is impossible to install different technologies in the same environment only for comparison. Therefore, simulation and experimental pilot measurements are an easy, economical, and time-affordable solution for [...] Read more.
Building real Smart Metering and Smart Grid networks is very expensive and time-consuming and also it is impossible to install different technologies in the same environment only for comparison. Therefore, simulation and experimental pilot measurements are an easy, economical, and time-affordable solution for a first comparison and evaluation of different technologies and solutions. The local area networks (LAN) are the core of Smart Metering and Smart Grid networks. The two predominant technologies are mostly sufficient for LAN networks, Power Line Communication (PLC), and radio frequency (RF) solutions. For PLC it is hard to allow prediction of the behaviour. Performance assessment for point-to-point connection is easy, but for complex PLC networks with repeaters it is quite expensive. Therefore, a simulation is an easy, fast, and cheap solution for understanding the grid configuration, influence of particular topological components, and performance possibilities. Simulation results can, thus, provide material for the design of a telecommunication infrastructure for Smart Metering. This paper presents results of such a simulation study. It is based on realistic PLC channel model implementation in Network Simulator 3, our modification and extension of this implementation for our use case scenario. It uses Shannon’s formula to calculate theoretical maximum channel capacity. In particular, it provides channel capacity and achievable distances of broadband PLC (BB-PLC). In this article we also exploit our novel idea of simple performance assessment of broadband PLC communication via simulation. It is supposed to be used to understand, evaluate, and test the grid configuration before deployment. Full article
(This article belongs to the Special Issue State-of-the-Art of Smart Metering in Electricity Grids)
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19 pages, 3200 KiB  
Article
Design of Experiments in the Methodology for Interoperability Testing: Evaluating AMI Message Exchange
by Nikoleta Andreadou, Alexandre Lucas, Stefano Tarantola and Ioannis Poursanidis
Appl. Sci. 2019, 9(6), 1221; https://doi.org/10.3390/app9061221 - 22 Mar 2019
Cited by 8 | Viewed by 3566
Abstract
Interoperability is a challenge for the realisation of smart grids. In this work, we apply the methodology for interoperability testing and the design of experiments developed at the Smart Grids Interoperability Laboratory of the Joint Research Centre of the European Commission on a [...] Read more.
Interoperability is a challenge for the realisation of smart grids. In this work, we apply the methodology for interoperability testing and the design of experiments developed at the Smart Grids Interoperability Laboratory of the Joint Research Centre of the European Commission on a simple use case. The methodology is based on the Smart Grid Architecture Model (SGAM) of CEN/CENELEC/ETSI and includes the concept of Basic Application Profiles (BAP) and Basic Application Interoperability Profiles (BAIOP). The relevant elements of the methodology are the design of experiments and the sensitivity/uncertainty analysis, which can reveal the limits of a system under test and give valuable feedback about the critical conditions which do not guarantee interoperability. The design and analysis of experiments employed in the Joint Research Centre (JRC) methodology supply information about the crucial parameters that either lead to an acceptable system performance or to a failure of interoperability. The use case on which the methodology is applied describes the interaction between a data concentrator and one or more smart meters. Experimental results are presented that show the applicability of the methodology and the design of experiments in practice. The system is tested under different conditions by varying two parameters: the rate at which meter data are requested by the data concentrator and the number of smart meters connected to the data concentrator. With this use case example the JRC methodology is illustrated at work, and its effectiveness for testing interoperability of a system under stress conditions is highlighted. Full article
(This article belongs to the Special Issue State-of-the-Art of Smart Metering in Electricity Grids)
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