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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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    References listed on IDEAS

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    1. Li, Longxi & Mu, Hailin & Gao, Weijun & Li, Miao, 2014. "Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings," Applied Energy, Elsevier, vol. 136(C), pages 206-216.
    2. Yang, Hongming & Xiong, Tonglin & Qiu, Jing & Qiu, Duo & Dong, Zhao Yang, 2016. "Optimal operation of DES/CCHP based regional multi-energy prosumer with demand response," Applied Energy, Elsevier, vol. 167(C), pages 353-365.
    3. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Jiang, Tao & Yu, Xiaodan, 2017. "Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system," Applied Energy, Elsevier, vol. 194(C), pages 386-398.
    4. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    5. Tichi, S.G. & Ardehali, M.M. & Nazari, M.E., 2010. "Examination of energy price policies in Iran for optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm," Energy Policy, Elsevier, vol. 38(10), pages 6240-6250, October.
    6. Oskouei, Morteza Zare & Mohammadi-Ivatloo, Behnam & Abapour, Mehdi & Shafiee, Mahmood & Anvari-Moghaddam, Amjad, 2021. "Privacy-preserving mechanism for collaborative operation of high-renewable power systems and industrial energy hubs," Applied Energy, Elsevier, vol. 283(C).
    7. Zare Oskouei, Morteza & Mirzaei, Mohammad Amin & Mohammadi-Ivatloo, Behnam & Shafiee, Mahmood & Marzband, Mousa & Anvari-Moghaddam, Amjad, 2021. "A hybrid robust-stochastic approach to evaluate the profit of a multi-energy retailer in tri-layer energy markets," Energy, Elsevier, vol. 214(C).
    8. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
    9. Li, Peng & Guo, Tianyu & Abeysekera, Muditha & Wu, Jianzhong & Han, Zhonghe & Wang, Zixuan & Yin, Yunxing & Zhou, Fengquan, 2021. "Intraday multi-objective hierarchical coordinated operation of a multi-energy system," Energy, Elsevier, vol. 228(C).
    10. Chicco, Gianfranco & Mancarella, Pierluigi, 2009. "Matrix modelling of small-scale trigeneration systems and application to operational optimization," Energy, Elsevier, vol. 34(3), pages 261-273.
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    2. 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).
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