IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i9p2196-d353219.html
   My bibliography  Save this article

Virtualization Management Concept for Flexible and Fault-Tolerant Smart Grid Service Provision

Author

Listed:
  • Shadi Attarha

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Anand Narayan

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Batoul Hage Hassan

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Carsten Krüger

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Felipe Castro

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Davood Babazadeh

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

  • Sebastian Lehnhoff

    (OFFIS—Institute for Information Technology, 26121 Oldenburg, Germany)

Abstract

In modern power systems, reliable provision of grid services (e.g., primary and ancillary services) are highly dependent on automation systems in order to have monitoring, processing, decision making and communication capabilities. The operational flexibility of automation systems is essential for the reliable operation of power systems during and after disruptive events. However, this is restricted by integrated hardware-software platforms. Therefore, it will be difficult to reconfigure control strategies during run time. This paper presents the concept of Grid Function Virtualization (GFV) as a potential approach to improve the operational flexibility of grid automation systems. GFV has been proposed to offer a new way to deploy and manage grid services by leveraging virtualization technology. The main idea of GFV is to run grid services (i.e., software implementation of services) independently from underlying hardware. To realize the important design considerations, the GFV architecture and its building blocks is elaborated in details. To this end, an exhaustive review of applications of virtualization in several domains is provided to show the importance of virtualization in improving flexibility and resource utilization. Finally, the advantages of the proposed concept to deal with disruptions in power systems is demonstrated in a proof of concept based on a CIGRE MV benchmark grid.

Suggested Citation

  • Shadi Attarha & Anand Narayan & Batoul Hage Hassan & Carsten Krüger & Felipe Castro & Davood Babazadeh & Sebastian Lehnhoff, 2020. "Virtualization Management Concept for Flexible and Fault-Tolerant Smart Grid Service Provision," Energies, MDPI, vol. 13(9), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2196-:d:353219
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/9/2196/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/9/2196/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Juhar Abdella & Khaled Shuaib, 2018. "Peer to Peer Distributed Energy Trading in Smart Grids: A Survey," Energies, MDPI, vol. 11(6), pages 1-22, June.
    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. Nadine Kabbara & Mohand Ouamer Nait Belaid & Madeleine Gibescu & Luis Ramirez Camargo & Jerome Cantenot & Thierry Coste & Vincent Audebert & Hugo Morais, 2022. "Towards Software-Defined Protection, Automation, and Control in Power Systems: Concepts, State of the Art, and Future Challenges," Energies, MDPI, vol. 15(24), pages 1-27, December.
    2. Ammar Albayati & Nor Fadzilah Abdullah & Asma Abu-Samah & Ammar Hussein Mutlag & Rosdiadee Nordin, 2020. "A Serverless Advanced Metering Infrastructure Based on Fog-Edge Computing for a Smart Grid: A Comparison Study for Energy Sector in Iraq," Energies, MDPI, vol. 13(20), pages 1-22, October.

    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. Ricardo Moreno & Cristian Hoyos & Sergio Cantillo, 2021. "A Framework from Peer-to-Peer Electricity Trading Based on Communities Transactions," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 537-545.
    2. Temitayo O. Olowu & Aditya Sundararajan & Masood Moghaddami & Arif I. Sarwat, 2018. "Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey," Energies, MDPI, vol. 11(7), pages 1-32, July.
    3. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    4. Pablo Baez-Gonzalez & Felix Garcia-Torres & Miguel A. Ridao & Carlos Bordons, 2020. "A Stochastic MPC Based Energy Management System for Simultaneous Participation in Continuous and Discrete Prosumer-to-Prosumer Energy Markets," Energies, MDPI, vol. 13(14), pages 1-23, July.
    5. Arun S. Loganathan & Vijayapriya Ramachandran & Angalaeswari Sendraya Perumal & Seshathiri Dhanasekaran & Natrayan Lakshmaiya & Prabhu Paramasivam, 2022. "Framework of Transactive Energy Market Strategies for Lucrative Peer-to-Peer Energy Transactions," Energies, MDPI, vol. 16(1), pages 1-16, December.
    6. Alexandros-Georgios Chronis & Foivos Palaiogiannis & Iasonas Kouveliotis-Lysikatos & Panos Kotsampopoulos & Nikos Hatziargyriou, 2021. "Photovoltaics Enabling Sustainable Energy Communities: Technological Drivers and Emerging Markets," Energies, MDPI, vol. 14(7), pages 1-21, March.
    7. Tseng, Fang-Mei & Palma Gil, Eunice Ina N. & Lu, Louis Y.Y., 2021. "Developmental trajectories of blockchain research and its major subfields," Technology in Society, Elsevier, vol. 66(C).
    8. Uyikumhe Damisa & Peter Olabisi Oluseyi & Nnamdi Ikechi Nwulu, 2022. "Blockchain-Based Gas Auctioning Coupled with a Novel Economic Dispatch Formulation for Gas-Deficient Thermal Plants," Energies, MDPI, vol. 15(14), pages 1-13, July.
    9. Samende, Cephas & Cao, Jun & Fan, Zhong, 2022. "Multi-agent deep deterministic policy gradient algorithm for peer-to-peer energy trading considering distribution network constraints," Applied Energy, Elsevier, vol. 317(C).
    10. Alessandra Chiarini & Lorenzo Compagnucci, 2022. "Blockchain, Data Protection and P2P Energy Trading: A Review on Legal and Economic Challenges," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    11. Daishi Sagawa & Kenji Tanaka & Fumiaki Ishida & Hideya Saito & Naoya Takenaga & Seigo Nakamura & Nobuaki Aoki & Misuzu Nameki & Kosuke Saegusa, 2021. "Bidding Agents for PV and Electric Vehicle-Owning Users in the Electricity P2P Trading Market," Energies, MDPI, vol. 14(24), pages 1-17, December.
    12. Uyikumhe Damisa & Nnamdi I. Nwulu & Pierluigi Siano, 2022. "Towards Blockchain-Based Energy Trading: A Smart Contract Implementation of Energy Double Auction and Spinning Reserve Trading," Energies, MDPI, vol. 15(11), pages 1-16, June.
    13. Gangjun Gong & Zhening Zhang & Xinyu Zhang & Nawaraj Kumar Mahato & Lin Liu & Chang Su & Haixia Yang, 2020. "Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture," Energies, MDPI, vol. 13(2), pages 1-22, January.
    14. Sara Hebal & Djamila Mechta & Saad Harous & Mohammed Dhriyyef, 2021. "Hybrid Energy Routing Approach for Energy Internet," Energies, MDPI, vol. 14(9), pages 1-34, April.
    15. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    16. Oskar Juszczyk & Khuram Shahzad, 2022. "Blockchain Technology for Renewable Energy: Principles, Applications and Prospects," Energies, MDPI, vol. 15(13), pages 1-24, June.
    17. Álvaro Gutiérrez, 2022. "Optimization Trends in Demand-Side Management," Energies, MDPI, vol. 15(16), pages 1-3, August.
    18. Yingpei Liu & Yan Li & Haiping Liang & Jia He & Hanyang Cui, 2019. "Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles," Energies, MDPI, vol. 12(2), pages 1-16, January.
    19. Bandeiras, F. & Pinheiro, E. & Gomes, M. & Coelho, P. & Fernandes, J., 2020. "Review of the cooperation and operation of microgrid clusters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    20. Kimia Honari & Sara Rouhani & Nida E. Falak & Yuan Liu & Yunwei Li & Hao Liang & Scott Dick & James Miller, 2023. "Smart Contract Design in Distributed Energy Systems: A Systematic Review," Energies, MDPI, vol. 16(12), pages 1-28, June.

    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:9:p:2196-:d:353219. 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.