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A blockchain consensus mechanism that uses Proof of Solution to optimize energy dispatch and trading

Author

Listed:
  • Sijie Chen

    (Shanghai Jiao Tong University)

  • Hanning Mi

    (Shanghai Jiao Tong University)

  • Jian Ping

    (Shanghai Jiao Tong University)

  • Zheng Yan

    (Shanghai Jiao Tong University)

  • Zeyu Shen

    (Shanghai Jiao Tong University)

  • Xuezhi Liu

    (Shanghai Jiao Tong University)

  • Ning Zhang

    (Tsinghua University)

  • Qing Xia

    (Tsinghua University)

  • Chongqing Kang

    (Tsinghua University)

Abstract

Traditional centralized optimization and management schemes may be incompatible with a changing energy system whose structure is becoming increasingly distributed. This challenge can hopefully be addressed by blockchain. However, existing blockchains have not been well prepared to integrate mathematical optimization, which plays a key role in many energy system applications. Here we propose a blockchain consensus mechanism tailored to support mathematical optimization problems, called Proof of Solution (PoSo). PoSo mimics Proof of Work (PoW) by replacing the meaningless mathematical puzzle in PoW with a meaningful optimization problem. This is inspired by the fact that both the solutions to the puzzle and to an optimization problem are hard to find but easy to verify. We show the security and necessity of PoSo by using PoSo to enable energy dispatch and trading for two integrated energy systems. The results show that compared with existing optimization schemes, PoSo ensures that only the optimal solution is accepted and executed by participants. Further, compared with existing blockchains, PoSo can seamlessly incorporate mathematical optimization and minimize the workload associated with searching and verifying the optimum.

Suggested Citation

  • Sijie Chen & Hanning Mi & Jian Ping & Zheng Yan & Zeyu Shen & Xuezhi Liu & Ning Zhang & Qing Xia & Chongqing Kang, 2022. "A blockchain consensus mechanism that uses Proof of Solution to optimize energy dispatch and trading," Nature Energy, Nature, vol. 7(6), pages 495-502, June.
    • Handle: RePEc:nat:natene:v:7:y:2022:i:6:d:10.1038_s41560-022-01027-4
    DOI: 10.1038/s41560-022-01027-4
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    Citations

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    Cited by:

    1. Yan, Mingyu & Teng, Fei & Gan, Wei & Yao, Wei & Wen, Jinyu, 2023. "Blockchain for secure decentralized energy management of multi-energy system using state machine replication," Applied Energy, Elsevier, vol. 337(C).
    2. Riya Kakkar & Rajesh Gupta & Smita Agrawal & Pronaya Bhattacharya & Sudeep Tanwar & Maria Simona Raboaca & Fayez Alqahtani & Amr Tolba, 2022. "Blockchain and Double Auction-Based Trustful EVs Energy Trading Scheme for Optimum Pricing," Mathematics, MDPI, vol. 10(15), pages 1-24, August.
    3. Marco Galici & Mario Mureddu & Emilio Ghiani & Fabrizio Pilo, 2022. "Blockchain-Based Hardware-in-the-Loop Simulation of a Decentralized Controller for Local Energy Communities," Energies, MDPI, vol. 15(20), pages 1-25, October.
    4. Nishant Sapra & Imlak Shaikh & Ashutosh Dash, 2023. "Impact of Proof of Work (PoW)-Based Blockchain Applications on the Environment: A Systematic Review and Research Agenda," JRFM, MDPI, vol. 16(4), pages 1-29, March.
    5. Zhao, Leilei & Xue, Yixun & Sun, Hongbin & Du, Yuan & Chang, Xinyue & Su, Jia & Li, Zening, 2023. "Benefit allocation for combined heat and power dispatch considering mutual trust," Applied Energy, Elsevier, vol. 345(C).
    6. Lu Meng & Bin Sun, 2022. "Research on Decentralized Storage Based on a Blockchain," Sustainability, MDPI, vol. 14(20), pages 1-17, October.

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