29 research outputs found

    SMART GRIDS LABORATORIES INVENTORY 2016

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    The smart grid implies that a vast amount of information needs to be handled and requires an effective energy management. Assessing the new technological solutions that would best accommodate the needs of a smart grid is of vital importance. This report aims at collecting information about the smart grid topics of research, the technologies and the standards used by top organizations that hold smart grid activities at a laboratory level. For this purpose an online questionnaire has been used. The report presents aggregated results that give an insight into the state-of-the-art regarding the smart grid field.JRC.C.3-Energy Security, Distribution and Market

    Distribution System Operators Observatory 2018

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    The distribution system is a key part of the electricity chain. It links bulk production with end consumers. Recently, radical changes have taken place in every segment of the power industry. These are calling for a changing role of the Distribution System Operators (DSOs) in Europe. This report provides a clear picture of the features of distribution grids in Europe, on the way they are operated and how far DSOs are from the paved provisions proposed in the recent Electricity Directive of the European Commission.JRC.C.3-Energy Security, Distribution and Market

    SMART GRIDS LABORATORIES INVENTORY 2015

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    A smart electricity grid opens the door to a myriad of new applications aimed at enhancing security of supply, sustainability and market competitiveness. Gathering detailed information about smart grid laboratories activities represents a primary need. In order to obtain a better picture of the ongoing Smart Grid developments, after the successful smart grid project survey initiated in 2011, we recently launched a focused on-line survey addressed to organisations owning or running Smart Grid laboratory facilities. The main objective is to publish aggregated information on a regular basis in order to provide an overview of the current facilities, to highlight trends in research and investments and to identify existing gaps.JRC.F.3-Energy Security, Systems and Marke

    Smart Grid Interoperability Laboratory

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    The Smart Grid Interoperability Laboratory in Petten was inaugurated on 29/11/2018. The Smart Grid Interoperability Laboratory is designed to foster a common European approach to interoperable digital energy, focussing on the smart home, community and city levels. The facility in Petten is part of a larger activity of the Joint Research Centre, as the science and knowledge service of the European Commission, encompassing electric vehicles, smart grids and batteries. The activities in 2019 are highlighted in this report.JRC.C.3-Energy Security, Distribution and Market

    Telecommunication Technologies for Smart Grid Projects with Focus on Smart Metering Applications

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    This paper provides a study of the smart grid projects realised in Europe and presents their technological solutions with a focus on smart metering Low Voltage (LV) applications. Special attention is given to the telecommunications technologies used. For this purpose, we present the telecommunication technologies chosen by several European utilities for the accomplishment of their smart meter national roll-outs. Further on, a study is performed based on the European Smart Grid Projects, highlighting their technological options. The range of the projects analysed covers the ones including smart metering implementation as well as those in which smart metering applications play a significant role in the overall project success. The survey reveals that various topics are directly or indirectly linked to smart metering applications, like smart home/building, energy management, grid monitoring and integration of Renewable Energy Sources (RES). Therefore, the technological options that lie behind such projects are pointed out. For reasons of completeness, we also present the main characteristics of the telecommunication technologies that are found to be used in practice for the LV grid

    Smart Meter Traffic in a Real LV Distribution Network

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    The modernization of the distribution grid requires a huge amount of data to be transmitted and handled by the network. The deployment of Advanced Metering Infrastructure systems results in an increased traffic generated by smart meters. In this work, we examine the smart meter traffic that needs to be accommodated by a real distribution system. Parameters such as the message size and the message transmission frequency are examined and their effect on traffic is showed. Limitations of the system are presented, such as the buffer capacity needs and the maximum message size that can be communicated. For this scope, we have used the parameters of a real distribution network, based on a survey at which the European Distribution System Operators (DSOs) have participated. For the smart meter traffic, we have used two popular specifications, namely the G3-PLC–“G3 Power Line communication” and PRIME–acronym for “PoweRline Intelligent Metering Evolution”, to simulate the characteristics of a system that is widely used in practice. The results can be an insight for further development of the Information and Communication Technology (ICT) systems that control and monitor the Low Voltage (LV) distribution grid. The paper presents an analysis towards identifying the needs of distribution networks with respect to telecommunication data as well as the main parameters that can affect the Inverse Fast Fourier Transform (IFFT) system performance. Identifying such parameters is consequently beneficial to designing more efficient ICT systems for Advanced Metering Infrastructure.JRC.C.3-Energy Security, Distribution and Market

    Interoperability Testing Methodology for Smart Grids and its Application on a DSM Use Case – A Tutorial

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    Interoperability is a challenge for the realization of the smart grids. In this work, we first present an interoperability testing methodology, which is substantial to perform interoperability tests for the smart grid. To show its applicability and facilitate its comprehension, we present an example by applying it on a Demand Side Management (DSM) use case. The DSM use case is chosen because it is a hot topic for modern grids and it involves the participation of many actors. The tutorial exemplifies the interactions among those actors. The SGAM framework is used, where the mapping of the use case is presented along with the Message Sequence Chart (MSC). Then we describe the Profiling of the equipment, relevant technical information and standards, which is the basis for the design and execution of the interoperability tests. We focus on the technical part of the interoperability testing; therefore attention is focused on the information and communication layer. We present how the interoperability tests should take place and we analytically show the respective test cases. The verdict of the test should be either PASS or FAIL. The paper shows how to successfully use the methodology for interoperability testing on a specific use case, whereas its applicability can be extended to any smart grid interoperability use case.JRC.C.3-Energy Security, Distribution and Market

    Interoperability Testing of a Smart Home Automation System under Explicit Demand Response Schemes

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    Interoperability becomes a key issue for smart grid systems, as the interaction between diverse components needs to lead to a normal system operation. In this paper, we test interoperability issues with respect to home automation. In particular, interaction of a home energy management system (HEMS) is examined with an external actor for home/building remote control. We show the importance and the feasibility of remotely controlling domestic loads from outside the house premises, which can be crucial for energy saving operations, such as demand response. The Smart Grid Architecture Model (SGAM) is used, where the different actors are depicted. The interoperability testing methodology for smart grids, developed by our unit, is followed in order to design the necessary tests and execute them. For the experimental part, we develop an HEMS in our lab along with a Home Automation End Device (HAED), used to transform two normal plugs, and consequently, normal loads into smart ones, thus creating a system for home automation and control. The described configuration is only one possible configuration out of the available ones existing in the market for home automation. LabVIEW programming is used in order to realize the actual explicit demand response program through remote load control and scheduling. The results show that explicit demand response can be achieved by an external actor with success and interoperability is preserved

    Interoperability Testing of a Smart Home Automation System under Explicit Demand Response Schemes

    No full text
    Interoperability becomes a key issue for smart grid systems, as the interaction between diverse components needs to lead to a normal system operation. In this paper, we test interoperability issues with respect to home automation. In particular, interaction of a home energy management system (HEMS) is examined with an external actor for home/building remote control. We show the importance and the feasibility of remotely controlling domestic loads from outside the house premises, which can be crucial for energy saving operations, such as demand response. The Smart Grid Architecture Model (SGAM) is used, where the different actors are depicted. The interoperability testing methodology for smart grids, developed by our unit, is followed in order to design the necessary tests and execute them. For the experimental part, we develop an HEMS in our lab along with a Home Automation End Device (HAED), used to transform two normal plugs, and consequently, normal loads into smart ones, thus creating a system for home automation and control. The described configuration is only one possible configuration out of the available ones existing in the market for home automation. LabVIEW programming is used in order to realize the actual explicit demand response program through remote load control and scheduling. The results show that explicit demand response can be achieved by an external actor with success and interoperability is preserved
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