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Scheduling coordination of back pressure CHP coupled electricity-heat energy system with adaptive constraint strategy to accommodate uncertain wind power

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  • Bao, Zhejing
  • Ye, Yangli
  • Liu, Ruijie
  • Cheng, Weidong
  • Zhao, Qiang
  • Wu, Ting

Abstract

A scheduling coordination approach with adaptive constraint strategy is proposed for electricity-heat integrated energy system (IES). The approach takes full advantage of heat network flexibility to smooth uncertain wind power and its natural storage capability to improve operational economics. Transmission dynamics of heating network is modeled by describing the heat dissipation in radial direction toward the insulation layer and the heat propagation in axial direction through water flow. Dynamical heating flow and steady power flow with different timescales are integrated to constitute the coordinated scheduling optimization by energy coupling component, i.e. CHP (combined heat and power) unit. In order to mitigate the discrepancy between the predicted and real values of wind power by utilizing the allowed upper limit of water temperature constraint violation, a PID idea based closed-loop adaptive adjustment strategy is implemented on the water temperature constraint at the beginning of supply pipeline. Simulations are conducted to show that in the proposed coordinated scheduling approach, heat network can serve as a natural energy storage to achieve the economic operation of IES, and simultaneously wind power uncertainties can be smoothed by the flexible temperature constraint of water flowing in heat network, with no any probability distribution information of uncertainties needed.

Suggested Citation

  • Bao, Zhejing & Ye, Yangli & Liu, Ruijie & Cheng, Weidong & Zhao, Qiang & Wu, Ting, 2022. "Scheduling coordination of back pressure CHP coupled electricity-heat energy system with adaptive constraint strategy to accommodate uncertain wind power," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221030401
    DOI: 10.1016/j.energy.2021.122791
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    References listed on IDEAS

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    1. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2016. "Interactions of district electricity and heating systems considering time-scale characteristics based on quasi-steady multi-energy flow," Applied Energy, Elsevier, vol. 167(C), pages 230-243.
    2. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    3. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    4. Gu, Wei & Wang, Jun & Lu, Shuai & Luo, Zhao & Wu, Chenyu, 2017. "Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings," Applied Energy, Elsevier, vol. 199(C), pages 234-246.
    5. Xiaogang Guo & Zhejing Bao & Zhijie Li & Wenjun Yan, 2018. "Adaptively Constrained Stochastic Model Predictive Control for the Optimal Dispatch of Microgrid," Energies, MDPI, vol. 11(1), pages 1-17, January.
    6. Xu, Xiandong & Jin, Xiaolong & Jia, Hongjie & Yu, Xiaodan & Li, Kang, 2015. "Hierarchical management for integrated community energy systems," Applied Energy, Elsevier, vol. 160(C), pages 231-243.
    7. Pan, Zhaoguang & Guo, Qinglai & Sun, Hongbin, 2017. "Feasible region method based integrated heat and electricity dispatch considering building thermal inertia," Applied Energy, Elsevier, vol. 192(C), pages 395-407.
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    Cited by:

    1. Tailu Li & Xuelong Li & Haiyang Gao & Xiang Gao & Nan Meng, 2022. "Thermodynamic Performance of Geothermal Energy Cascade Utilization for Combined Heating and Power Based on Organic Rankine Cycle and Vapor Compression Cycle," Energies, MDPI, vol. 15(19), pages 1-24, October.
    2. Xie, Yingchun & Nie, Yutai & Li, Tailu & Zhang, Yao & Wang, Jingyi, 2023. "Flash evaporation strategy of organic Rankine cycle for geothermal power performance enhancement: A case study," Renewable Energy, Elsevier, vol. 212(C), pages 57-69.

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