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Performance of the XMPP and the MQTT Protocols on IEC 61850-Based Micro Grid Communication Architecture

Author

Listed:
  • Hyun-Ji Jun

    (GridWiz, Seongnam-si 13460, Korea)

  • Hyo-Sik Yang

    (Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea)

Abstract

As micro grids are gradually being deployed in many areas, communication technology is becoming important for collecting data and controlling devices in micro grids. In a micro grid, various devices are distributed and perform their respective functions. These devices exchange information with each other and transmit information to the micro grid management system. This micro grid environment is similar to the IoT environment in which information is exchanged in the presence of a large number of devices. Recent studies have tried to apply various IoT protocols as a communication protocol in the micro grid. However, the data model used in current research is limited in proprietary data mapping. Recently, IEC TC 57 published another IEC 61850 series which maps the IEC 61850 services to XMPP (eXtensible Messaging Presence Protocol), which was the first IoT protocol mapping of IEC 61850. Few research has shown that the mapping of the IEC 61850 data model to the IoT protocol and communication boundary is limited in a lab environment. We developed a micro grid test-bed with an IEC 61850 data and service model, and mapped to two IoT protocols, that is, XMPP and the MQTT (Message Queuing Telemetry Transport). By combining IoT protocol with the IEC 61850 data and service model, the proposed micro grid architecture can provide interoperability with any DMS or other power utility system. Performance analysis was conducted on the test-bed by measuring various metrics, such as the response time, packet size, and packet loss, over a public network.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5024-:d:615369
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    Citations

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    Cited by:

    1. 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.
    2. Tanushree Bhattacharjee & Majid Jamil & Majed A. Alotaibi & Hasmat Malik & Mohammed E. Nassar, 2022. "Hardware Development and Interoperability Testing of a Multivendor-IEC-61850-Based Digital Substation," Energies, MDPI, vol. 15(5), pages 1-19, February.
    3. Dapai Shi & Jingyuan Zhao & Chika Eze & Zhenghong Wang & Junbin Wang & Yubo Lian & Andrew F. Burke, 2023. "Cloud-Based Artificial Intelligence Framework for Battery Management System," Energies, MDPI, vol. 16(11), pages 1-21, May.

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