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A Bi-level gaming programming for regional integrated energy system considering the users’ reliability incentive

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  • Chen, Biyun
  • Chen, Yanni
  • Zhou, Hengwang
  • Bai, Xiaoqing
  • Li, Bin
  • Guo, Xiaoxuan

Abstract

In the context of the regional integrated energy system, as renewable energy increases and energy coupling gets higher, the operator has more resilience and flexibility to support reliability auxiliary service. To address energy reliability resource allocation, a novel method that user reliability incentive mechanism considering user reliability demand is proposed to help optimal decision making in a market vision. Thus, users’ demand for reliability differentiation in time and space dimensions will become prominent. Accordingly, we propose a master-followers bi-level gaming model with a reliability incentive mechanism. The reliability model is also innovated in the reliability constraint; the reliability reserve margin is adjusted in real-time considering the building thermal inertia and user's status. Considering user's reliability incentive, operator dispatches economically in the upper level and obtain the reliability index. With reliability improvement delivered by the upper level, users chase their maximum energy benefits by adjusting load responds on HVAC. This is considered by building thermal inertia and formulate reliability incentives based on improvement. A case study verifies the superiority of the proposed model on the participant's economy, users’ reliability, the renewable energy accommodation capacity, and differential reliability pricing. The sensitivity for external energy price and renewable energy permeability are also analyzed.

Suggested Citation

  • Chen, Biyun & Chen, Yanni & Zhou, Hengwang & Bai, Xiaoqing & Li, Bin & Guo, Xiaoxuan, 2023. "A Bi-level gaming programming for regional integrated energy system considering the users’ reliability incentive," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    • Handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004562
    DOI: 10.1016/j.ress.2022.108839
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    References listed on IDEAS

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    1. Rokhforoz, Pegah & Gjorgiev, Blazhe & Sansavini, Giovanni & Fink, Olga, 2021. "Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    2. Cheng, Lin & Wan, Yuxiang & Tian, Liting & Zhang, Fang, 2019. "Evaluating energy supply service reliability for commercial air conditioning loads from the distribution network aspect," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Liu, Zifa & Chen, Yixiao & Zhuo, Ranqun & Jia, Hongjie, 2018. "Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling," Applied Energy, Elsevier, vol. 210(C), pages 1113-1125.
    4. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
    5. Sadeghian, Omid & Mohammadpour Shotorbani, Amin & Mohammadi-Ivatloo, Behnam & Sadiq, Rehan & Hewage, Kasun, 2021. "Risk-averse maintenance scheduling of generation units in combined heat and power systems with demand response," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Ma, Ye & Chi, Yuanying & Wu, Di & Peng, Rui & Wu, Shaomin, 2021. "Reliability of integrated electricity and gas supply system with performance substitution and sharing mechanisms," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    7. Wang, Can & Xie, Haipeng & Bie, Zhaohong & Li, Gengfeng & Yan, Chao, 2021. "Fast supply reliability evaluation of integrated power-gas system based on stochastic capacity network model and importance sampling," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    8. Jia, Heping & Peng, Rui & Yang, Li & Wu, Tianyi & Liu, Dunnan & Li, Yanbin, 2022. "Reliability evaluation of demand-based warm standby systems with capacity storage," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
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    Cited by:

    1. Ren, Hongbo & Jiang, Zipei & Wu, Qiong & Li, Qifen & Lv, Hang, 2023. "Optimal planning of an economic and resilient district integrated energy system considering renewable energy uncertainty and demand response under natural disasters," Energy, Elsevier, vol. 277(C).

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