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Modeling of a District Heating System and Optimal Heat-Power Flow

Author

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  • Wentao Yang

    (School of Electrical Engineering, Zhejiang University, No. 38 Zheda Rd., Hangzhou 310027, China)

  • Fushuan Wen

    (Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam
    Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Ke Wang

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

  • Yuchun Huang

    (Guangzhou Power Supply Company Limited, Guangzhou 510620, China)

  • Md. Abdus Salam

    (Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei)

Abstract

With ever-growing interconnections of various kinds of energy sources, the coupling between a power distribution system (PDS) and a district heating system (DHS) has been progressively intensified. Thus, it is becoming more and more important to take the PDS and the DHS as a whole in energy flow analysis. Given this background, a steady state model of DHS is first presented with hydraulic and thermal sub-models included. Structurally, the presented DHS model is composed of three major parts, i.e., the straight pipe, four kinds of local pipes, and the radiator. The impacts of pipeline parameters and the environment temperature on heat losses and pressure losses are then examined. The term “heat-power flow” is next defined, and the optimal heat-power flow (OHPF) model formulated as a quadratic planning problem, in which the objective is to minimize energy losses, including the heat losses and active power losses, and both the operational constraints of PDS and DHS are respected. The developed OHPF model is solved by the well-established IPOPT (Interior Point OPTimizer) commercial solver, which is based on the YALMIP/MATLAB toolbox. Finally, two sample systems are served for demonstrating the characteristics of the proposed models.

Suggested Citation

  • Wentao Yang & Fushuan Wen & Ke Wang & Yuchun Huang & Md. Abdus Salam, 2018. "Modeling of a District Heating System and Optimal Heat-Power Flow," Energies, MDPI, vol. 11(4), pages 1-19, April.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:929-:d:141017
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    References listed on IDEAS

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    1. Li, Jinghua & Fang, Jiakun & Zeng, Qing & Chen, Zhe, 2016. "Optimal operation of the integrated electrical and heating systems to accommodate the intermittent renewable sources," Applied Energy, Elsevier, vol. 167(C), pages 244-254.
    2. M. Nazif Faqiry & Lawryn Edmonds & Haifeng Zhang & Amin Khodaei & Hongyu Wu, 2017. "Transactive-Market-Based Operation of Distributed Electrical Energy Storage with Grid Constraints," Energies, MDPI, vol. 10(11), pages 1-17, November.
    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. Jing, Z.X. & Jiang, X.S. & Wu, Q.H. & Tang, W.H. & Hua, B., 2014. "Modelling and optimal operation of a small-scale integrated energy based district heating and cooling system," Energy, Elsevier, vol. 73(C), pages 399-415.
    5. Daniela Cristina Momete, 2017. "Measuring Renewable Energy Development in the Eastern Bloc of the European Union," Energies, MDPI, vol. 10(12), pages 1-13, December.
    6. Haichao Wang & Lin Duanmu & Xiangli Li & Risto Lahdelma, 2017. "Optimizing the District Heating Primary Network from the Perspective of Economic-Specific Pressure Loss," Energies, MDPI, vol. 10(8), pages 1-12, July.
    7. Roberto Aringhieri & Federico Malucelli, 2003. "Optimal Operations Management and Network Planning of a District Heating System with a Combined Heat and Power Plant," Annals of Operations Research, Springer, vol. 120(1), pages 173-199, April.
    8. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    9. Mads Raunbak & Timo Zeyer & Kun Zhu & Martin Greiner, 2017. "Principal Mismatch Patterns Across a Simplified Highly Renewable European Electricity Network," Energies, MDPI, vol. 10(12), pages 1-13, November.
    10. Liu, Xuezhi & Mancarella, Pierluigi, 2016. "Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems," Applied Energy, Elsevier, vol. 167(C), pages 336-352.
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    Cited by:

    1. Cheng Yang & Yupeng Sun & Yujie Zou & Fei Zheng & Shuangyu Liu & Bochao Zhao & Ming Wu & Haoyang Cui, 2023. "Optimal Power Flow in Distribution Network: A Review on Problem Formulation and Optimization Methods," Energies, MDPI, vol. 16(16), pages 1-42, August.
    2. Steinegger, Josef & Wallner, Stefan & Greiml, Matthias & Kienberger, Thomas, 2023. "A new quasi-dynamic load flow calculation for district heating networks," Energy, Elsevier, vol. 266(C).
    3. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Optimization of Geometric Parameters of Thermal Insulation of Pre-Insulated Double Pipes," Energies, MDPI, vol. 12(6), pages 1-11, March.
    4. Ramon Abritta & Frederico Panoeiro & Leonardo Honório & Ivo Silva Junior & André Marcato & Anapaula Guimarães, 2020. "Hydroelectric Operation Optimization and Unexpected Spillage Indications," Energies, MDPI, vol. 13(20), pages 1-20, October.
    5. Tomasz Janusz Teleszewski & Dorota Anna Krawczyk & Antonio Rodero, 2019. "Reduction of Heat Losses Using Quadruple Heating Pre-Insulated Networks: A Case Study," Energies, MDPI, vol. 12(24), pages 1-12, December.
    6. Birol Kılkış & Malik Çağlar & Mert Şengül, 2021. "Energy Benefits of Heat Pipe Technology for Achieving 100% Renewable Heating and Cooling for Fifth-Generation, Low-Temperature District Heating Systems," Energies, MDPI, vol. 14(17), pages 1-54, August.
    7. Dorota Anna Krawczyk & Tomasz Janusz Teleszewski, 2019. "Reduction of Heat Losses in a Pre-Insulated Network Located in Central Poland by Lowering the Operating Temperature of the Water and the Use of Egg-shaped Thermal Insulation: A Case Study," Energies, MDPI, vol. 12(11), pages 1-12, June.
    8. Yu Huang & Kai Yang & Weiting Zhang & Kwang Y. Lee, 2018. "Hierarchical Energy Management for the MultiEnergy Carriers System with Different Interest Bodies," Energies, MDPI, vol. 11(10), pages 1-18, October.

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