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Implementation of Resilient Self-Healing Microgrids with IEC 61850-Based Communications

Author

Listed:
  • Junho Hong

    (Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48375, USA)

  • Dmitry Ishchenko

    (Hitachi ABB Power Grids, Raleigh, NC 27606, USA)

  • Anil Kondabathini

    (Hitachi ABB Power Grids, Raleigh, NC 27606, USA)

Abstract

Due to the high penetration of distributed energy resources (DER) and emerging DER interconnection and interoperability requirements, fast and standardized information exchange is essential for stable, resilient, and reliable operations in microgrids. This paper proposes fast fault detection, isolation, and restoration (F-FDIR) for microgrid application with the IEC 61850 Generic Object Oriented Substation Event (GOOSE) communication considering the communication/system failure. GOOSE provides a mechanism for lightweight low latency peer-to-peer data exchange between devices, which reduces the restoration time compared to conventional client-server communication paradigm. The proposed mitigation method for the communication/system failure can find an available restoration scenario and reduce the overall process time. Hardware-in-the-loop (HIL) testbed is designed and implemented with real time digital simulator, microgrid control system, and protection and control intelligent electric devices (IEDs) for the validation. The experimental results show that the proposed F-FDIR and IEC 61850 models can enhance the reliability and interoperability of the microgrid operation and enable self-healing microgrids.

Suggested Citation

  • Junho Hong & Dmitry Ishchenko & Anil Kondabathini, 2021. "Implementation of Resilient Self-Healing Microgrids with IEC 61850-Based Communications," Energies, MDPI, vol. 14(3), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:547-:d:484752
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    References listed on IDEAS

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    1. Shahriar Rahman Fahim & Subrata K. Sarker & S. M. Muyeen & Md. Rafiqul Islam Sheikh & Sajal K. Das, 2020. "Microgrid Fault Detection and Classification: Machine Learning Based Approach, Comparison, and Reviews," Energies, MDPI, vol. 13(13), pages 1-22, July.
    2. Wei Deng & Wei Pei & Ziqi Shen & Zhenxing Zhao & Hui Qu, 2015. "Adaptive Micro-Grid Operation Based on IEC 61850," Energies, MDPI, vol. 8(5), pages 1-21, May.
    3. Ebrahim Rokrok & Miadreza Shafie-khah & Pierluigi Siano & João P. S. Catalão, 2017. "A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration," Energies, MDPI, vol. 10(10), pages 1-20, September.
    4. Chun-Hung Liu & Jyh-Cherng Gu, 2019. "Modeling and Integrating PV Stations into IEC 61850 XMPP Intelligent Edge Computing Gateway," Energies, MDPI, vol. 12(8), pages 1-23, April.
    5. Waqas Javed & Dong Chen & Mohamed Emad Farrag & Yan Xu, 2019. "System Configuration, Fault Detection, Location, Isolation and Restoration: A Review on LVDC Microgrid Protections," Energies, MDPI, vol. 12(6), pages 1-30, March.
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    Cited by:

    1. Haotian Ge & Bingyin Xu & Xinhui Zhang & Yongjian Bi & Zida Zhao, 2021. "Feeder Topology Configuration and Application Based on IEC 61850," Energies, MDPI, vol. 14(14), pages 1-13, July.
    2. Ângelo Felipe Sartori & Adriano Peres de Morais & Ulisses Chemin Netto & Diomar Adonis Copetti Lima & Daniel Pinheiro Bernardon & Wagner Seizo Hokama, 2023. "Performance Analysis of Overcurrent Protection under Corrupted Sampled Value Frames: A Hardware-in-the-Loop Approach," Energies, MDPI, vol. 16(8), pages 1-14, April.

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