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A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system

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  • Ma, Huan
  • Chen, Qun
  • Hu, Bo
  • Sun, Qinhan
  • Li, Tie
  • Wang, Shunjiang

Abstract

The conflict between inflexible operation of high-efficient cogeneration system and demand for flexibility in power grid has engendered severe renewable energy curtailment, which raises a requirement of multi-energy management. Nowadays, researchers have focused on flexibility improvement, but rarely considered energy conversion efficiency of cogeneration systems based on the 2nd law of thermodynamics. This paper establishes a compact model of cogeneration systems by taking nonlinear energy conversion and heat transfer constraints of combined heat and power units into account, and further proposes a two-stage heat and power dispatch procedure. The lower stage conducts plant-level operation optimization to obtain the compact model, i.e., quantitation of the best trade-off relations between energy supply flexibility and conversion efficiency as well as the power generation feasible region in each cogeneration system. The upper stage formulates a convex optimal power flow problem based on the compact model to achieve the global coordination between energy supply flexibility and conversion efficiency in integrated energy system. To apply the model, we introduce a multi-energy management system consisting of a central power-grid dispatch system and multiple distributed plant-level energy management systems. Optimization results reveal that the proposed method saves 11.65% heat consumption comparing with traditional method.

Suggested Citation

  • Ma, Huan & Chen, Qun & Hu, Bo & Sun, Qinhan & Li, Tie & Wang, Shunjiang, 2021. "A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system," Applied Energy, Elsevier, vol. 285(C).
  • Handle: RePEc:eee:appene:v:285:y:2021:i:c:s0306261921000398
    DOI: 10.1016/j.apenergy.2021.116474
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    Cited by:

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    3. Yin, Linfei & Qiu, Yao, 2022. "Long-term price guidance mechanism of flexible energy service providers based on stochastic differential methods," Energy, Elsevier, vol. 238(PB).
    4. Wu, Min & Xu, Jiazhu & Shi, Zhenglu, 2023. "Low carbon economic dispatch of integrated energy system considering extended electric heating demand response," Energy, Elsevier, vol. 278(PA).
    5. Jieyun Zheng & Linyao Zhang & Jinpeng Chen & Guilian Wu & Shiyuan Ni & Zhijian Hu & Changhong Weng & Zhi Chen, 2021. "Multiple-Load Forecasting for Integrated Energy System Based on Copula-DBiLSTM," Energies, MDPI, vol. 14(8), pages 1-14, April.
    6. Gharibpour, Hassan & Aminifar, Farrokh & Rahmati, Iman & Keshavarz, Arezou, 2021. "Dual variable decomposition to discriminate the cost imposed by inflexible units in electricity markets," Applied Energy, Elsevier, vol. 287(C).
    7. Wei Shao & Shuo Wang & Wenpu Wang & Kun Shao & Qi Xiao & Zheng Cui, 2023. "Experiment and Simulation on a Refrigeration Ventilation System for Deep Metal Mines," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    8. Wang, Yongli & Liu, Zhen & Cai, Chengcong & Xue, Lu & Ma, Yang & Shen, Hekun & Chen, Xin & Liu, Lin, 2022. "Research on the optimization method of integrated energy system operation with multi-subject game," Energy, Elsevier, vol. 245(C).

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