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Implementation and Test of an IEC 61850-Based Automation Framework for the Automated Data Model Integration of DES (ADMID) into DSO SCADA

Author

Listed:
  • Shuo Chen

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany)

  • Falko Ebe

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany
    Former researchers of the Smart Grid Research Group.)

  • Jeromie Morris

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany
    Former researchers of the Smart Grid Research Group.)

  • Heiko Lorenz

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany)

  • Christoph Kondzialka

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany)

  • Gerd Heilscher

    (Smart Grid Research Group, Ulm University of Applied Sciences, 89081 Ulm, Germany)

Abstract

As a result of the energy transition, an increasing number of Decentralized Energy Systems (DES) will be installed in the distribution grid in the future. Accordingly, new methods to systematically integrate the growing DES in distribution power systems must be developed utilizing the constantly evolving Information and Communication Technologies (ICT). This paper proposes the Automated Data Model Integration of DES (ADMID) approach for the integration of DES into the ICT environment of the Distribution System Operator (DSO). The proposed ADMID utilizes the data model structure defined by the standard-series IEC 61850 and has been implemented as a Python package. The presented two Use Cases focus on the Supervisory Control and Data Acquisition (SCADA) on the DSO operational level following a four-stage test procedure, while this approach has enormous potential for advanced DSO applications. The test results obtained during simulation or real-time communication to field devices indicate that the utilization of IEC 61850-compliant data models is eligible for the proposed automation approach, and the implemented framework can be a considerable solution for the system integration in future distribution grids with a high share of DES. As a proof-of-concept study, the proposed ADMID approach requires additional development with a focus on the harmonization with the Common Information Model (CIM), which could significantly improve its functional interoperability and help it reach a higher Technology Readiness Level (TRL).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1552-:d:753597
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    References listed on IDEAS

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    1. Hyun-Ji Jun & Hyo-Sik Yang, 2021. "Performance of the XMPP and the MQTT Protocols on IEC 61850-Based Micro Grid Communication Architecture," Energies, MDPI, vol. 14(16), pages 1-13, August.
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    3. Hartvigsson, Elias & Odenberger, Mikael & Chen, Peiyuan & Nyholm, Emil, 2021. "Estimating national and local low-voltage grid capacity for residential solar photovoltaic in Sweden, UK and Germany," Renewable Energy, Elsevier, vol. 171(C), pages 915-926.
    4. Lilia Tightiz & Hyosik Yang, 2020. "A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication," Energies, MDPI, vol. 13(11), pages 1-24, June.
    5. Hyun Joong Kim & Chang Min Jeong & Jin-Man Sohn & Jhi-Young Joo & Vaibhav Donde & Youngmi Ko & Yong Tae Yoon, 2020. "A Comprehensive Review of Practical Issues for Interoperability Using the Common Information Model in Smart Grids," Energies, MDPI, vol. 13(6), pages 1-20, March.
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    Cited by:

    1. Xi He & Heng Dong & Wanli Yang & Wei Li, 2023. "Multi-Source Information Fusion Technology and Its Application in Smart Distribution Power System," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
    2. Yap, Kah Yung & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2023. "Blockchain technology for distributed generation: A review of current development, challenges and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).

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