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Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Author

Listed:
  • Gangjun Gong

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

  • Zhening Zhang

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

  • Xinyu Zhang

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

  • Nawaraj Kumar Mahato

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

  • Lin Liu

    (State Grid Dalian Electric Power Supply Company, Dalian 116001, China)

  • Chang Su

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

  • Haixia Yang

    (Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China)

Abstract

With the integration of highly permeable renewable energy to the grid at different levels (transmission, distribution and grid-connected), the volatility on both sides (source side and load side) leading to bidirectional power flow in the power grid complicates the control mechanism. In order to ensure the real-time power balance, energy exchange, higher energy utilization efficiency and stability maintenance in the electric power system, this paper proposes an integrated application of blockchain technology on energy routers at transmission and distribution networks with increased renewable energy penetration. This paper focuses on the safe and stable operation of a highly penetrated renewable energy grid-connected power system and its operation. It also demonstrates a blockchain-based negotiation model with weakly centralized scenarios for “source-network-load” collaborative scheduling operations; secondly, the QoS (quality of service) index of energy flow control and energy router node doubly-fed stability control model were designed. Further, it also introduces the MOPSO (multi-objective particle swarm optimization) algorithm for power output optimization of multienergy power generation; Thirdly, based on the blockchain underlying architecture and load prediction value constraints, this paper puts forward the optimization mechanism and control flow of autonomous energy coordination of b2u (bottom-up) between router nodes of transmission and distribution network based on blockchain.

Suggested Citation

  • Gangjun Gong & Zhening Zhang & Xinyu Zhang & Nawaraj Kumar Mahato & Lin Liu & Chang Su & Haixia Yang, 2020. "Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture," Energies, MDPI, vol. 13(2), pages 1-22, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:418-:d:308899
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    References listed on IDEAS

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    Cited by:

    1. Xiuli Wang & Fang Yao & Fushuan Wen, 2022. "Applications of Blockchain Technology in Modern Power Systems: A Brief Survey," Energies, MDPI, vol. 15(13), pages 1-22, June.
    2. Jing Yu & Jicheng Liu & Yajing Wen & Xue Yu, 2023. "Economic Optimal Coordinated Dispatch of Power for Community Users Considering Shared Energy Storage and Demand Response under Blockchain," Sustainability, MDPI, vol. 15(8), pages 1-26, April.
    3. Tobias Rösch & Peter Treffinger & Barbara Koch, 2021. "Regional Flexibility Markets—Solutions to the European Energy Distribution Grid—A Systematic Review and Research Agenda," Energies, MDPI, vol. 14(9), pages 1-32, April.
    4. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.

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