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Integrated modelling and optimal operation analysis of multienergy systems based on Stackelberg game theory

Author

Listed:
  • Guo, Tianyu
  • Li, Peng
  • Wang, Zixuan
  • Shi, Ruyu
  • Han, Zhonghe
  • Xia, Hui
  • Li, Jianyi

Abstract

An integrated modelling and operation method for a multienergy system (MES) is proposed in this paper. First, a coupling matrix equation containing the energy flow in the process of energy production, transmission, conversion, storage and consumption is established. Second, the whole MES is selected as the game subject, and each energy subsystem is selected as the game follower. Then, an integrated model of an MES is modelled to quantify the complementary cold-heat-power-gas multi-energy and source-network-load-storage coordinated interactions based on Stackelberg game theory. Third, the day-ahead MES operation scheme is optimized based on the established model and the equilibrium solution is used to realize a reasonable balance of benefits between the whole MES and its energy subsystems. Numerical studies demonstrate that the proposed method increases the operation cost of the whole MES by ¥68.23 (0.917% increase) but reduces the operation cost of the heat and gas subsystems by ¥254.82 (3.29% decrease) and ¥289.4 (3.72%), respectively, with the objective of minimizing operation cost, and improves the whole system exergy efficiency of the power, heat and gas subsystems by 0.572%, 0.548% and 2.076%, respectively, with the objective of maximizing the exergy efficiency. Thus, one can take into account the different benefits among the whole MES and its energy subsystems and provide a multidimensional dispatch scheme for dispatchers, highlighting the potential for MES development.

Suggested Citation

  • Guo, Tianyu & Li, Peng & Wang, Zixuan & Shi, Ruyu & Han, Zhonghe & Xia, Hui & Li, Jianyi, 2021. "Integrated modelling and optimal operation analysis of multienergy systems based on Stackelberg game theory," Energy, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017205
    DOI: 10.1016/j.energy.2021.121472
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    2. Dan, Zhaohui & Song, Aoye & Yu, Xiaojun & Zhou, Yuekuan, 2024. "Electrification-driven circular economy with machine learning-based multi-scale and cross-scale modelling approach," Energy, Elsevier, vol. 299(C).
    3. Jafari, Hamed & Safarzadeh, Soroush & Azad-Farsani, Ehsan, 2022. "Effects of governmental policies on energy-efficiency improvement of hydrogen fuel cell cars: A game-theoretic approach," Energy, Elsevier, vol. 254(PC).
    4. Yan, Haoran & Hou, Hongjuan & Deng, Min & Si, Lengge & Wang, Xi & Hu, Eric & Zhou, Rhonin, 2024. "Stackelberg game theory based model to guide users’ energy use behavior, with the consideration of flexible resources and consumer psychology, for an integrated energy system," Energy, Elsevier, vol. 288(C).

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