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Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework

Author

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  • Yizhi Cheng

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Peichao Zhang

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Xuezhi Liu

    (Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

Motivated by the benefits of multi-energy integration, this paper establishes a bi-level two-stage framework based on transactive control, to achieve the optimal energy provision among interconnected multi-energy systems (MESs). At the lower level, each MES autonomously determines the optimal setpoints of its controllable assets by solving a cost minimization problem, in which rolling horizon optimization is adopted to deal with the load and renewable energies’ stochastic features. A technique is further implemented for optimization model convexification by relaxing storages’ complementarity constraints, and its mathematical proof verifies the exactness of the relaxation. At the upper level, a coordinator is responsible for minimizing total costs of interconnected MESs while preventing transformer overloading. This collaborative problem is solved iteratively in a proposed two-stage transactive control framework that is compatible with operational time requirement while retaining scalability, information privacy and operation authority of each MES. The effectiveness of the proposed framework is verified by simulation cases that conduct a detailed analysis of the collaborative autonomous optimization mechanism.

Suggested Citation

  • Yizhi Cheng & Peichao Zhang & Xuezhi Liu, 2019. "Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework," Energies, MDPI, vol. 13(1), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2019:i:1:p:171-:d:303399
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    References listed on IDEAS

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    Cited by:

    1. Jingjing Zhai & Xiaobei Wu & Zihao Li & Shaojie Zhu & Bo Yang & Haoming Liu, 2021. "Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations," Energies, MDPI, vol. 14(4), pages 1-33, February.
    2. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

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