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Coordinating and valuing the flexibility resources in a rural integrated energy system by considering correlated source-load uncertainty

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  • Li, Shuxu
  • Li, Zhiyi

Abstract

This paper proposes a two-stage model for flexible resource coordination and value analysis in rural areas, which considers the specific biomass energy conversion supply and the correlated uncertainties on both sides of the integrated energy system. Firstly, it describes the impacts of correlated uncertainty on the actual output of the source and load based on factor analysis and affine variables, and constructs an affine optimization model for cooperative scheduling of system-wide flexible resources. Secondly, according to the energy supply envelope area of flexible resources within the scheduling cycle, it proposes the value measurement indices of system flexibility adjustment ability and economic benefit to evaluate the sensitivity of flexible resources. Finally, the simulation results show that the proposed method can effectively reduce the conservatism of the scheduling scheme, and analyzing the influence of capacities and time-of-use tariff on flexibility value provides a reference for the construction of integrated energy systems in rural areas.

Suggested Citation

  • Li, Shuxu & Li, Zhiyi, 2024. "Coordinating and valuing the flexibility resources in a rural integrated energy system by considering correlated source-load uncertainty," Renewable Energy, Elsevier, vol. 237(PA).
    • Handle: RePEc:eee:renene:v:237:y:2024:i:pa:s0960148124016446
    DOI: 10.1016/j.renene.2024.121576
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    References listed on IDEAS

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    1. Tan, Mao & Li, Zibin & Su, Yongxin & Ren, Yuling & Wang, Ling & Wang, Rui, 2024. "Dual time-scale robust optimization for energy management of distributed energy community considering source-load uncertainty," Renewable Energy, Elsevier, vol. 226(C).
    2. Chen, Yuxin & Jiang, Yuewen, 2023. "Interval energy flow calculation method for electricity-heat-hydrogen integrated energy system considering the correlation between variables," Energy, Elsevier, vol. 263(PB).
    3. Zhao, Anjun & Jiao, Yang & Quan, Wei & Chen, Yiren, 2024. "Net zero carbon rural integrated energy system design optimization based on the energy demand in temporal and spatial dimensions," Renewable Energy, Elsevier, vol. 222(C).
    4. Ma, Yixiang & Yu, Lean & Zhang, Guoxing & Lu, Zhiming & Wu, Jiaqian, 2023. "Source-load uncertainty-based multi-objective multi-energy complementary optimal scheduling," Renewable Energy, Elsevier, vol. 219(P1).
    5. Ju, Liwei & Lu, Xiaolong & Yang, Shenbo & Li, Gen & Fan, Wei & Pan, Yushu & Qiao, Huiting, 2022. "A multi-time scale dispatching optimal model for rural biomass waste energy conversion system-based micro-energy grid considering multi-energy demand response," Applied Energy, Elsevier, vol. 327(C).
    6. Wang, Yuwei & Song, Minghao & Jia, Mengyao & Li, Bingkang & Fei, Haoran & Zhang, Yiyue & Wang, Xuejie, 2023. "Multi-objective distributionally robust optimization for hydrogen-involved total renewable energy CCHP planning under source-load uncertainties," Applied Energy, Elsevier, vol. 342(C).
    7. Tang, Hong & Wang, Shengwei, 2022. "Multi-level optimal dispatch strategy and profit-sharing mechanism for unlocking energy flexibilities of non-residential building clusters in electricity markets of multiple flexibility services," Renewable Energy, Elsevier, vol. 201(P1), pages 35-45.
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