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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
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    References listed on IDEAS

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    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. Raphael Amit & Christoph Zott, 2001. "Value creation in E‐business," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 493-520, June.
    3. 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.
    4. 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.
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    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.

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