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Operation Optimization of Multi-District Integrated Energy System Considering Flexible Demand Response of Electric and Thermal Loads

Author

Listed:
  • Cheng Zhou

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Jianyong Zheng

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Sai Liu

    (State Grid Jiangsu Electric Power Co., Ltd., Maintenance Branch Company, Nanjing 211102, Jiangsu, China)

  • Yu Liu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Fei Mei

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Yi Pan

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Tian Shi

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

  • Jianzhang Wu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China)

Abstract

Multi-district integrated energy system (IES) can make full use of the complementary characteristics of district power and thermal system, and loads in different districts. It can improve the flexibility and economy of system operation, which has a good development prospect. Firstly, based on the general energy transfer model of the district heating network (DHN), the DHN system is described by the basic equations of the heating network and nodes considering the characteristics of the transmission time delay and heat loss in pipelines. A coupling model of DHN and multi-district IES is established. Secondly, the flexible demand response (FDR) model of electric and thermal loads is established. The load characteristics of each district in IES are studied. A shiftable load model based on the electric quantity balance is constructed. Considering the flexibility of the heat demand, a thermal load adjustment model based on the comfort constraint is constructed to make the thermal load elastic and controllable in time and space. Finally, a mixed integer linear programming (MILP) model for operation optimization of multi-district IES with the DHN considering the FDR of electric and thermal loads is established based on the supply and demand sides. The result shows that the proposed model makes full use of the complementary characteristics of electric and thermal loads in different districts. It realizes the coordinated distribution of thermal energy among different districts and improves the efficiency of thermal energy utilization through the DHN. FDR effectively reduces the peak-valley difference of loads. It further reduces the total operating cost by the coordinated operation of the DHN and multi-district IES.

Suggested Citation

  • Cheng Zhou & Jianyong Zheng & Sai Liu & Yu Liu & Fei Mei & Yi Pan & Tian Shi & Jianzhang Wu, 2019. "Operation Optimization of Multi-District Integrated Energy System Considering Flexible Demand Response of Electric and Thermal Loads," Energies, MDPI, vol. 12(20), pages 1-26, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3831-:d:274985
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    References listed on IDEAS

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    1. Ren, Hongbo & Gao, Weijun, 2010. "A MILP model for integrated plan and evaluation of distributed energy systems," Applied Energy, Elsevier, vol. 87(3), pages 1001-1014, March.
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    Cited by:

    1. Morteza Vahid-Ghavidel & Mohammad Sadegh Javadi & Matthew Gough & Sérgio F. Santos & Miadreza Shafie-khah & João P.S. Catalão, 2020. "Demand Response Programs in Multi-Energy Systems: A Review," Energies, MDPI, vol. 13(17), pages 1-17, August.
    2. Zhao Luo & Jinghui Wang & Ni Xiao & Linyan Yang & Weijie Zhao & Jialu Geng & Tao Lu & Mengshun Luo & Chenming Dong, 2022. "Low Carbon Economic Dispatch Optimization of Regional Integrated Energy Systems Considering Heating Network and P2G," Energies, MDPI, vol. 15(15), pages 1-14, July.
    3. Vahid Arabzadeh & Peter D. Lund, 2020. "Effect of Heat Demand on Integration of Urban Large-Scale Renewable Schemes—Case of Helsinki City (60 °N)," Energies, MDPI, vol. 13(9), pages 1-17, May.

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