IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i15p3818-d389573.html
   My bibliography  Save this article

A Novel Methodology for the Scalability Analysis of ICT Systems for Smart Grids Based on SGAM: The InteGrid Project Approach

Author

Listed:
  • Sergio Potenciano Menci

    (AIT Austrian Institute of Technology, 1210 Vienna, Austria
    These authors contributed equally to this work.)

  • Julien Le Baut

    (AIT Austrian Institute of Technology, 1210 Vienna, Austria)

  • Javier Matanza Domingo

    (Institute for Research in Technology (IIT), Universidad Pontificia Comillas, 28015 Madrid, Spain
    These authors contributed equally to this work.)

  • Gregorio López López

    (Institute for Research in Technology (IIT), Universidad Pontificia Comillas, 28015 Madrid, Spain
    These authors contributed equally to this work.)

  • Rafael Cossent Arín

    (Institute for Research in Technology (IIT), Universidad Pontificia Comillas, 28015 Madrid, Spain)

  • Manuel Pio Silva

    (EDP CNET, 2685-039 Lisbon, Portugal)

Abstract

Information and Communication Technology (ICT) infrastructures are at the heart of emerging Smart Grid scenarios with high penetration of Distributed Energy Resources (DER). The scalability of such ICT infrastructures is a key factor for the large scale deployment of the aforementioned Smart Grid solutions, which could not be ensured by small-scale pilot demonstrations. This paper presents a novel methodology that has been developed in the scope of the H2020 project InteGrid, which enables the scalability analysis of ICT infrastructures for Smart Grids. It is based on the Smart Grid Architecture Model (SGAM) framework, which enables a standardized and replicable approach. This approach consists of two consecutive steps: a qualitative analysis that aims at identifying potential bottlenecks in an ICT infrastructure; and a quantitative analysis of the identified critical links under stress conditions by means of simulations with the aim of evaluating their operational limits. In this work the proposed methodology is applied to a cluster of solutions demonstrated in the InteGrid Slovenian pilot. This pilot consists of a Large Customer Commercial Virtual Power Plant (VPP) that provides flexibility in medium voltage for tertiary reserve and a Traffic Light System (TLS) to validate such flexibility offers. This approach creates an indirect Transmission System Operator (TSO)—Distribution System Operator (DSO) coordination scheme.

Suggested Citation

  • Sergio Potenciano Menci & Julien Le Baut & Javier Matanza Domingo & Gregorio López López & Rafael Cossent Arín & Manuel Pio Silva, 2020. "A Novel Methodology for the Scalability Analysis of ICT Systems for Smart Grids Based on SGAM: The InteGrid Project Approach," Energies, MDPI, vol. 13(15), pages 1-24, July.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3818-:d:389573
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/15/3818/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/15/3818/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lukas Sigrist & Kristof May & Andrei Morch & Peter Verboven & Pieter Vingerhoets & Luis Rouco, 2016. "On Scalability and Replicability of Smart Grid Projects—A Case Study," Energies, MDPI, vol. 9(3), pages 1-19, March.
    2. Mathias Uslar & Sebastian Rohjans & Christian Neureiter & Filip Pröstl Andrén & Jorge Velasquez & Cornelius Steinbrink & Venizelos Efthymiou & Gianluigi Migliavacca & Seppo Horsmanheimo & Helfried Bru, 2019. "Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective," Energies, MDPI, vol. 12(2), pages 1-40, January.
    3. Gregorio López & Pedro Moura & José Ignacio Moreno & José Manuel Camacho, 2014. "Multi-Faceted Assessment of a Wireless Communications Infrastructure for the Green Neighborhoods of the Smart Grid," Energies, MDPI, vol. 7(5), pages 1-31, May.
    4. Noelia Uribe-Pérez & Itziar Angulo & David De la Vega & Txetxu Arzuaga & Igor Fernández & Amaia Arrinda, 2017. "Smart Grid Applications for a Practical Implementation of IP over Narrowband Power Line Communications," Energies, MDPI, vol. 10(11), pages 1-16, November.
    5. Gregorio López & José Ignacio Moreno & Eutimio Sánchez & Cristina Martínez & Fernando Martín, 2017. "Noise Sources, Effects and Countermeasures in Narrowband Power-Line Communications Networks: A Practical Approach," Energies, MDPI, vol. 10(8), pages 1-42, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Loup-Noé Lévy & Jérémie Bosom & Guillaume Guerard & Soufian Ben Amor & Marc Bui & Hai Tran, 2022. "DevOps Model Appproach for Monitoring Smart Energy Systems," Energies, MDPI, vol. 15(15), pages 1-27, July.
    2. Sergio Potenciano Menci & Ricardo J. Bessa & Barbara Herndler & Clemens Korner & Bharath-Varsh Rao & Fabian Leimgruber & André A. Madureira & David Rua & Fábio Coelho & João V. Silva & José R. Andrade, 2021. "Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach," Energies, MDPI, vol. 14(18), pages 1-39, September.
    3. Konrad Henryk Bachanek & Blanka Tundys & Tomasz Wiśniewski & Ewa Puzio & Anna Maroušková, 2021. "Intelligent Street Lighting in a Smart City Concepts—A Direction to Energy Saving in Cities: An Overview and Case Study," Energies, MDPI, vol. 14(11), pages 1-19, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sergio Potenciano Menci & Ricardo J. Bessa & Barbara Herndler & Clemens Korner & Bharath-Varsh Rao & Fabian Leimgruber & André A. Madureira & David Rua & Fábio Coelho & João V. Silva & José R. Andrade, 2021. "Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach," Energies, MDPI, vol. 14(18), pages 1-39, September.
    2. Ricardo Vazquez & Hortensia Amaris & Monica Alonso & Gregorio Lopez & Jose Ignacio Moreno & Daniel Olmeda & Javier Coca, 2017. "Assessment of an Adaptive Load Forecasting Methodology in a Smart Grid Demonstration Project," Energies, MDPI, vol. 10(2), pages 1-23, February.
    3. Giovanni Artale & Antonio Cataliotti & Valentina Cosentino & Dario Di Cara & Riccardo Fiorelli & Salvatore Guaiana & Nicola Panzavecchia & Giovanni Tinè, 2019. "A New Coupling Solution for G3-PLC Employment in MV Smart Grids," Energies, MDPI, vol. 12(13), pages 1-23, June.
    4. Shuo Chen & Falko Ebe & Jeromie Morris & Heiko Lorenz & Christoph Kondzialka & Gerd Heilscher, 2022. "Implementation and Test of an IEC 61850-Based Automation Framework for the Automated Data Model Integration of DES (ADMID) into DSO SCADA," Energies, MDPI, vol. 15(4), pages 1-30, February.
    5. Sheeraz Kirmani & Abdul Mazid & Irfan Ahmad Khan & Manaullah Abid, 2022. "A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    6. Isaías González & Antonio José Calderón & José María Portalo, 2021. "Innovative Multi-Layered Architecture for Heterogeneous Automation and Monitoring Systems: Application Case of a Photovoltaic Smart Microgrid," Sustainability, MDPI, vol. 13(4), pages 1-24, February.
    7. Hyun Baek & Sun-Kyoung Park, 2015. "Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data," Sustainability, MDPI, vol. 7(2), pages 1-21, January.
    8. Filipe Bandeiras & Álvaro Gomes & Mário Gomes & Paulo Coelho, 2023. "Exploring Energy Trading Markets in Smart Grid and Microgrid Systems and Their Implications for Sustainability in Smart Cities," Energies, MDPI, vol. 16(2), pages 1-41, January.
    9. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
    10. Rodriguez-Calvo, Andrea & Cossent, Rafael & Frías, Pablo, 2018. "Scalability and replicability analysis of large-scale smart grid implementations: Approaches and proposals in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 1-15.
    11. Cui, Jia & Yu, Renzhe & Zhao, Dongbo & Yang, Junyou & Ge, Weichun & Zhou, Xiaoming, 2019. "Intelligent load pattern modeling and denoising using improved variational mode decomposition for various calendar periods," Applied Energy, Elsevier, vol. 247(C), pages 480-491.
    12. Yueqiang Xu & Petri Ahokangas & Jean-Nicolas Louis & Eva Pongrácz, 2019. "Electricity Market Empowered by Artificial Intelligence: A Platform Approach," Energies, MDPI, vol. 12(21), pages 1-21, October.
    13. Zeljko Martinovic & Martin Dadic & Branimir Ivsic & Roman Malaric, 2019. "An Adiabatic Coaxial Line for Microcalorimeter Power Measurements in Wireless Communication for Smart Grid," Energies, MDPI, vol. 12(21), pages 1-18, November.
    14. Reif, Valerie & Meeus, Leonardo, 2022. "Smart metering interoperability issues and solutions: Taking inspiration from other ecosystems and sectors," Utilities Policy, Elsevier, vol. 76(C).
    15. Kanakadhurga, Dharmaraj & Prabaharan, Natarajan, 2022. "Demand side management in microgrid: A critical review of key issues and recent trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    16. Thomas I. Strasser & Sebastian Rohjans & Graeme M. Burt, 2019. "Methods and Concepts for Designing and Validating Smart Grid Systems," Energies, MDPI, vol. 12(10), pages 1-5, May.
    17. Bullich-Massagué, Eduard & Díaz-González, Francisco & Aragüés-Peñalba, Mònica & Girbau-Llistuella, Francesc & Olivella-Rosell, Pol & Sumper, Andreas, 2018. "Microgrid clustering architectures," Applied Energy, Elsevier, vol. 212(C), pages 340-361.
    18. Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie, 2016. "Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture," Energies, MDPI, vol. 9(7), pages 1-19, July.
    19. Virginia M. Romero & Eduardo B. Fernandez, 2023. "Towards a Reference Architecture for Cargo Ports," Future Internet, MDPI, vol. 15(4), pages 1-32, April.
    20. Ali Hadi Abdulwahid & Shaorong Wang, 2018. "A Novel Method of Protection to Prevent Reverse Power Flow Based on Neuro-Fuzzy Networks for Smart Grid," Sustainability, MDPI, vol. 10(4), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:3818-:d:389573. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.