IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i8p1417-d222347.html
   My bibliography  Save this article

A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration

Author

Listed:
  • Abouzar Estebsari

    (Department of Energy, Politecnico di Torino, 10129 Torino, Italy
    Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy)

  • Luca Barbierato

    (Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy
    Department of Control and Computer Engineering, Politecnico di Torino, 10129 Torino, Italy)

  • Alireza Bahmanyar

    (Department of Electrical Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran)

  • Lorenzo Bottaccioli

    (Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy
    Department of Control and Computer Engineering, Politecnico di Torino, 10129 Torino, Italy)

  • Enrico Macii

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10129 Torino, Italy)

  • Edoardo Patti

    (Energy Center Lab, Politecnico di Torino, 10129 Torino, Italy
    Department of Control and Computer Engineering, Politecnico di Torino, 10129 Torino, Italy)

Abstract

In order to systematically shift existing control and management paradigms in distribution systems to new interoperable communication supported schemes in smart grids, we need to map newly developed use cases to standard reference models like Smart Grid Architecture Model (SGAM). From the other side, any new use cases should be tested and validated ex-ante before being deployed in the real-world system. Considering various types of actors in smart grids, use cases are usually tested using co-simulation platforms. Currently, there is no efficient co-simulation platform which supports interoperability analysis based on SGAM. In this paper, we present our developed test platform which offers a support to design new use cases based on SGAM. We used this platform to develop a new scheme for wide area monitoring of existing distribution systems under growing penetration of Photovoltaic production. Off-the-shelf solutions of state estimation for wide area monitoring are either used for passive distribution grids or applied to the active networks with wide measurement of distributed generators. Our proposed distribution state estimation algorithm does not require wide area measurements and relies on the data provided by a PV simulator we developed. This practical scheme is tested experimentally on a realistic urban distribution grid. The monitoring results shows a very low error rate of about 1 % by using our PV simulator under high penetration of PV with about 30 % error of load forecast. Using our SGAM-based platform, we could propose and examine an Internet-of-Things-based infrastructure to deploy the use case.

Suggested Citation

  • Abouzar Estebsari & Luca Barbierato & Alireza Bahmanyar & Lorenzo Bottaccioli & Enrico Macii & Edoardo Patti, 2019. "A SGAM-Based Test Platform to Develop a Scheme for Wide Area Measurement-Free Monitoring of Smart Grids under High PV Penetration," Energies, MDPI, vol. 12(8), pages 1-27, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:8:p:1417-:d:222347
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/8/1417/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/8/1417/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmad, Fiaz & Rasool, Akhtar & Ozsoy, Emre & Sekar, Raja & Sabanovic, Asif & Elitaş, Meltem, 2018. "Distribution system state estimation-A step towards smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2659-2671.
    2. Jianchao Zhang & Boon-Chong Seet & Tek Tjing Lie, 2016. "An Event-Based Resource Management Framework for Distributed Decision-Making in Decentralized Virtual Power Plants," Energies, MDPI, vol. 9(8), pages 1-19, July.
    3. Benoît Bletterie & Serdar Kadam & Herwig Renner, 2018. "On the Classification of Low Voltage Feeders for Network Planning and Hosting Capacity Studies," Energies, MDPI, vol. 11(3), pages 1-23, March.
    4. Raphael Amit & Christoph Zott, 2001. "Value creation in E‐business," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 493-520, 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. 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).
    2. José Luis Picard & Irene Aguado & Noemi G. Cobos & Vicente Fuster-Roig & Alfredo Quijano-López, 2021. "Electric Distribution System Planning Methodology Considering Distributed Energy Resources: A Contribution towards Real Smart Grid Deployment," Energies, MDPI, vol. 14(7), pages 1-18, March.
    3. Jorge De La Cruz & Eduardo Gómez-Luna & Majid Ali & Juan C. Vasquez & Josep M. Guerrero, 2023. "Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends," Energies, MDPI, vol. 16(5), pages 1-37, February.

    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. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    2. Mingfeng Tang & Grace Sheila Walsh & Cuiwen Li & Angathevar Baskaran, 2021. "Exploring technology business incubators and their business incubation models: case studies from China," The Journal of Technology Transfer, Springer, vol. 46(1), pages 90-116, February.
    3. Shaheer, Noman Ahmed & Li, Sali, 2020. "The CAGE around cyberspace? How digital innovations internationalize in a virtual world," Journal of Business Venturing, Elsevier, vol. 35(1).
    4. Jonathan H. Reed, 2022. "Operational and strategic change during temporary turbulence: evidence from the COVID-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 589-608, June.
    5. Sander Claeys & Marta Vanin & Frederik Geth & Geert Deconinck, 2021. "Applications of optimization models for electricity distribution networks," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(5), September.
    6. KhalifAbdi Maalim & Peterson Obara Magutu & James Mauti Mose, 2019. "E-Procurement Strategies And Supply Chain Performance Of Private Hospitals In Nairobi, Kenya," Noble International Journal of Social Sciences Research, Noble Academic Publsiher, vol. 4(11), pages 145-156, November.
    7. Mara Del Baldo & Maria-Gabriella Baldarelli, 2017. "Renewing and improving the business model toward sustainability in theory and practice," International Journal of Corporate Social Responsibility, Springer, vol. 2(1), pages 1-13, December.
    8. Best, Bernadette & Miller, Kristel & McAdam, Rodney & Maalaoui, Adnane, 2022. "Business model innovation within SPOs: Exploring the antecedents and mechanisms facilitating multi-level value co-creation within a value-network," Journal of Business Research, Elsevier, vol. 141(C), pages 475-494.
    9. Baoliang Hu & Wei Huang & Shuai Yan & Guang Liu & Tao Zhang, 2020. "Business Model Design and Customer Loyalty: The Mediating Role of Customer Citizenship Behavior," Sustainability, MDPI, vol. 12(17), pages 1-14, August.
    10. Karthikeyan Nainar & Florin Iov, 2020. "Smart Meter Measurement-Based State Estimation for Monitoring of Low-Voltage Distribution Grids," Energies, MDPI, vol. 13(20), pages 1-18, October.
    11. Cinzia Battistella & Gianluca Murgia & Fabio Nonino, 2021. "Free-driven web-based business models," Electronic Commerce Research, Springer, vol. 21(2), pages 445-486, June.
    12. Meena Madhavan & Mohammed Ali Sharafuddin & Thanapong Chaichana, 2022. "Impact of Business Model Innovation on Sustainable Performance of Processed Marine Food Product SMEs in Thailand—A PLS-SEM Approach," Sustainability, MDPI, vol. 14(15), pages 1-33, August.
    13. Sebastian Schroedel, 2023. "The Sustainable Business Model Database: 92 Patterns That Enable Sustainability in Business Model Innovation," Sustainability, MDPI, vol. 15(10), pages 1-27, May.
    14. Sheth, Ananya & Sinfield, Joseph V., 2022. "An analytical framework to compare innovation strategies and identify simple rules," Technovation, Elsevier, vol. 115(C).
    15. Coskun-Setirek, Abide & Tanrikulu, Zuhal, 2021. "Digital innovations-driven business model regeneration: A process model," Technology in Society, Elsevier, vol. 64(C).
    16. Jianyu Zhao & Yining Huang & Xi Xi & Shanshan Wang, 2021. "How knowledge heterogeneity influences business model design: mediating effects of strategic learning and bricolage," International Entrepreneurship and Management Journal, Springer, vol. 17(2), pages 889-919, June.
    17. Eleonora Annunziata & Francesco Rizzi & Tiberio Daddi & Marco Frey, 2019. "Business models for interfirm energy cooperation in industrial parks: A possible taxonomy," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(2), pages 133-148.
    18. Palo, Teea & Åkesson, Maria & Löfberg, Nina, 2019. "Servitization as business model contestation: A practice approach," Journal of Business Research, Elsevier, vol. 104(C), pages 486-496.
    19. In Hyeock (Ian) Lee, 2022. "Startups, relocation, and firm performance: a transaction cost economics perspective," Small Business Economics, Springer, vol. 58(1), pages 205-224, January.
    20. Wenyao Zhang & Tugrul Daim & Qingpu Zhang, 2019. "Exploring the Multi-Phase Driven Process for Disruptive Business Model Innovation of E-Business Microcredit: a Multiple Case Study from China," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 590-617, 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:12:y:2019:i:8:p:1417-:d:222347. 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.