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Optimal coordination of flexible resources in the gas-heat-electricity integrated energy system

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  • Xi, Yufei
  • Fang, Jiakun
  • Chen, Zhe
  • Zeng, Qing
  • Lund, Henrik

Abstract

To deal with the high penetration of renewable energy, modern energy systems strive to introduce flexible resources to provide more flexible and higher quality services. This paper focuses on the coordination of flexible resources across different energy carriers under the market environment to accommodate different levels of wind power. The integration of gas, heat and electricity systems providing customers with multiple options for satisfying their energy demands is described. Considering that energy system operators are independent or have limited communication based on the existing market mechanism, an equilibrium problem is first formulated for the optimal scheduling strategy, where each subsystem operator pursues its own benefit. Since there is energy conversion between different energy subsystems, each subsystem operator has to consider the actions of other operators and coordinate with each other until an equilibrium. An illustrative case study is then analyzed to show that the proposed model allows each subsystem operator to make an optimal action for maximizing its profit, and reflects prices and volumes of the energy transaction among energy subsystems. Furthermore, the simulation results indicate that the coordination of flexible resources has significant benefits in the integrated energy system to reduce wind curtailment and improve total social welfare.

Suggested Citation

  • Xi, Yufei & Fang, Jiakun & Chen, Zhe & Zeng, Qing & Lund, Henrik, 2021. "Optimal coordination of flexible resources in the gas-heat-electricity integrated energy system," Energy, Elsevier, vol. 223(C).
  • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s036054422032836x
    DOI: 10.1016/j.energy.2020.119729
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    4. Fambri, Gabriele & Diaz-Londono, Cesar & Mazza, Andrea & Badami, Marco & Sihvonen, Teemu & Weiss, Robert, 2022. "Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration," Applied Energy, Elsevier, vol. 312(C).
    5. Chen, Zhang & Yiliang, Xie & Hongxia, Zhang & Yujie, Gu & Xiongwen, Zhang, 2023. "Optimal design and performance assessment for a solar powered electricity, heating and hydrogen integrated energy system," Energy, Elsevier, vol. 262(PA).
    6. Razmjoo, Armin & Mirjalili, Seyedali & Aliehyaei, Mehdi & Østergaard, Poul Alberg & Ahmadi, Abolfazl & Majidi Nezhad, Meysam, 2022. "Development of smart energy systems for communities: technologies, policies and applications," Energy, Elsevier, vol. 248(C).
    7. Yang, Chao & Zhu, Yucai & Zhou, Jinming & Zhao, Jun & Bu, Ren & Feng, Guo, 2023. "Dynamic flexibility optimization of integrated energy system based on two-timescale model predictive control," Energy, Elsevier, vol. 276(C).
    8. Wang, Jian & Xin, Hao & Xie, Ning & Wang, Yong, 2022. "Equilibrium models of coordinated electricity and natural gas markets with different coupling information exchanging channels," Energy, Elsevier, vol. 239(PA).
    9. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    10. Sun, Weijia & Wang, Qi & Ye, Yujian & Tang, Yi, 2022. "Unified modelling of gas and thermal inertia for integrated energy system and its application to multitype reserve procurement," Applied Energy, Elsevier, vol. 305(C).
    11. Jiandong Duan & Fan Liu & Yao Yang & Zhuanting Jin, 2021. "Flexible Dispatch for Integrated Power and Gas Systems Considering Power-to-Gas and Demand Response," Energies, MDPI, vol. 14(17), pages 1-26, September.
    12. Zhou, Yanting & Ma, Zhongjing & Zhang, Jinhui & Zou, Suli, 2022. "Data-driven stochastic energy management of multi energy system using deep reinforcement learning," Energy, Elsevier, vol. 261(PA).

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