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Projection method for blockchain-enabled non-iterative decentralized management in integrated natural gas-electric systems and its application in digital twin modelling

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  • Yan, Mingyu
  • Gan, Wei
  • Zhou, Yue
  • Wen, Jianfeng
  • Yao, Wei

Abstract

Integrating natural gas and electricity systems increases system flexibility for the accommodation of the large penetration level of renewable energy and thus achieves decarbonization in the energy system. This paper aims at providing non-iterative and scalable decentralized energy management for multi-integrated natural gas-electricity systems with uncertain wind power. An operation space projection transformation method is proposed to reformulate the electricity and natural gas system operation problems for constructing equivalent feasible operation space with the optimality information contained. Accordingly, the proposed decentralized management is privacy-preserving, low-complex, and globally optimal. Moreover, the mathematical proof of the optimality of the reformulated problem is provided. In addition to privacy protection, trust issues are taken into account. Blockchain is applied to safeguard the proposed decentralized management against potential malicious behaviours. We introduce how the proposed decentralized management is embedded in the consensus process of the blockchain. The potential of the projection transformation method in the digital twin application is analyzed. Numerical results are presented to validate the effectiveness of the proposed decentralized energy management method. The synergistic effect and robustness of the proposed operation model are embodied, while the computational accuracy and performance of the non-iterative solution technique are validated.

Suggested Citation

  • Yan, Mingyu & Gan, Wei & Zhou, Yue & Wen, Jianfeng & Yao, Wei, 2022. "Projection method for blockchain-enabled non-iterative decentralized management in integrated natural gas-electric systems and its application in digital twin modelling," Applied Energy, Elsevier, vol. 311(C).
    • Handle: RePEc:eee:appene:v:311:y:2022:i:c:s0306261922001131
    DOI: 10.1016/j.apenergy.2022.118645
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    References listed on IDEAS

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    2. Yao, Shuai & Gu, Wei & Wu, Jianzhong & Lu, Hai & Zhang, Suhan & Zhou, Yue & Lu, Shuai, 2022. "Dynamic energy flow analysis of the heat-electricity integrated energy systems with a novel decomposition-iteration algorithm," Applied Energy, Elsevier, vol. 322(C).
    3. Xiong, Houbo & Zhou, Yue & Guo, Chuangxin & Ding, Yi & Luo, Fengji, 2023. "Multi-stage risk-based assessment for wind energy accommodation capability: A robust and non-anticipative method," Applied Energy, Elsevier, vol. 350(C).
    4. Chenhao Sun & Xiwei Jiang & Zhiwei Jia & Kun Yu & Sheng Xiang & Jianhong Su, 2023. "An Optimization Ensemble for Integrated Energy System Configuration Strategy Incorporating Demand–Supply Coordination," Sustainability, MDPI, vol. 15(21), pages 1-17, October.
    5. Peng, Hongyi & Yan, Mingyu & Zhou, Yijia, 2024. "Privacy-preserving non-iterative decentralized optimal energy flow for integrated hydrogen-electricity-heat system based on projection method," Applied Energy, Elsevier, vol. 368(C).
    6. Ma, Huan & Sun, Qinghan & Chen, Qun & Zhao, Tian & He, Kelun, 2023. "Exergy-based flexibility cost indicator and spatio-temporal coordination principle of distributed multi-energy systems," Energy, Elsevier, vol. 267(C).
    7. 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).
    8. Sri Nikhil Gupta Gourisetti & Sraddhanjoli Bhadra & David Jonathan Sebastian-Cardenas & Md Touhiduzzaman & Osman Ahmed, 2023. "A Theoretical Open Architecture Framework and Technology Stack for Digital Twins in Energy Sector Applications," Energies, MDPI, vol. 16(13), pages 1-58, June.
    9. Aleksandra Leschinskaya & Oksana Kirillova & Maksim Palyanov, 2023. "Assessment of the Formation of the Economic Effect of Cross-Subsidization in the Electric Power Industry," Energies, MDPI, vol. 16(16), pages 1-13, August.
    10. Zhao, Wei & Liao, Qi & Qiu, Rui & Liu, Chunying & Xu, Ning & Yu, Xiao & Liang, Yongtu, 2024. "Pipe sharing: A bilevel optimization model for the optimal capacity allocation of natural gas network," Applied Energy, Elsevier, vol. 359(C).
    11. Xiong, Houbo & Luo, Fengji & Yan, Mingyu & Yan, Lei & Guo, Chuangxin & Ranzi, Gianluca, 2024. "Distributionally robust and transactive energy management scheme for integrated wind-concentrated solar virtual power plants," Applied Energy, Elsevier, vol. 368(C).
    12. Machado, Diogo Ortiz & Chicaiza, William D. & Escaño, Juan M. & Gallego, Antonio J. & de Andrade, Gustavo A. & Normey-Rico, Julio E. & Bordons, Carlos & Camacho, Eduardo F., 2023. "Digital twin of an absorption chiller for solar cooling," Renewable Energy, Elsevier, vol. 208(C), pages 36-51.
    13. Cemal Zehir & Melike Zehir & Alex Borodin & Zahid Farrukh Mamedov & Sadiq Qurbanov, 2022. "Tailored Blockchain Applications for the Natural Gas Industry: The Case Study of SOCAR," Energies, MDPI, vol. 15(16), pages 1-19, August.

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