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Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration

Author

Listed:
  • Jiaqi Shi

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

  • Ling Wang

    (School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China)

  • Yingrui Wang

    (China Energy Engineering Group Tianjin Electric Power Design Institute Co., Ltd., Tianjin 300400, China)

  • Jianhua Zhang

    (State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China)

Abstract

To alleviate environmental pollution and improve the efficient use of energy, energy systems integration (ESI)—covering electric power systems, heat systems and natural gas systems—has become an important trend in energy utilization. The traditional power flow calculation method, with the object as the power system, will prove difficult in meeting the requirements of the coupled energy flow analysis. This paper proposes a generalized energy flow (GEF) analysis method which is suitable for an ESI containing electricity, heat and gas subsystems. First, the models of electricity, heat, and natural gas networks in the ESI are established. In view of the complexity of the conventional method to solve the gas network including the compressor, an improved practical equivalent method was adopted based on different control modes. On this basis, a hybrid method combining homotopy and the Newton-Raphson algorithm was executed to compute the nonlinear equations of GEF, and the Jacobi matrix reflecting the coupling relationship of multi-energy was derived considering the grid connected mode and island modes of the power system in the ESI. Finally, the validity of the proposed method in multi-energy flow calculation and the analysis of interacting characteristics was verified using practical cases.

Suggested Citation

  • Jiaqi Shi & Ling Wang & Yingrui Wang & Jianhua Zhang, 2017. "Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration," Energies, MDPI, vol. 10(4), pages 1-17, April.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:514-:d:95406
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    References listed on IDEAS

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    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Lund, Henrik & Andersen, Anders N. & Østergaard, Poul Alberg & Mathiesen, Brian Vad & Connolly, David, 2012. "From electricity smart grids to smart energy systems – A market operation based approach and understanding," Energy, Elsevier, vol. 42(1), pages 96-102.
    3. DE WOLF, Daniel & SMEERS, Yves, 2000. "The gas transmission problem solved by an extension of the simplex algorithm," LIDAM Reprints CORE 1489, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
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    Cited by:

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    3. A. J. Chamkha & A. M. Rashad & E. R. EL-Zahar & Hamed A. EL-Mky, 2019. "Analytical and Numerical Investigation of Fe 3 O 4 –Water Nanofluid Flow over a Moveable Plane in a Parallel Stream with High Suction," Energies, MDPI, vol. 12(1), pages 1-18, January.
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    5. 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).
    6. Ma, Houzhen & Liu, Chunyang & Zhao, Haoran & Zhang, Hengxu & Wang, Mengxue & Wang, Xiaobing, 2023. "A novel analytical unified energy flow calculation method for integrated energy systems based on holomorphic embedding," Applied Energy, Elsevier, vol. 344(C).
    7. Yao, Shuai & Gu, Wei & Wu, Jianzhong & Lu, Hai & Zhang, Suhan & Zhou, Yue & Lu, Shuai, 2022. "Dynamic energy flow analysis of the heat-electricity integrated energy systems with a novel decomposition-iteration algorithm," Applied Energy, Elsevier, vol. 322(C).
    8. Dancker, Jonte & Wolter, Martin, 2021. "Improved quasi-steady-state power flow calculation for district heating systems: A coupled Newton-Raphson approach," Applied Energy, Elsevier, vol. 295(C).
    9. Yongjie Zhong & Dongliang Xie & Suwei Zhai & Yonghui Sun, 2018. "Day-Ahead Hierarchical Steady State Optimal Operation for Integrated Energy System Based on Energy Hub," Energies, MDPI, vol. 11(10), pages 1-18, October.
    10. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    11. Jiaqi Shi & Yingrui Wang & Ruibin Fu & Jianhua Zhang, 2017. "Operating Strategy for Local-Area Energy Systems Integration Considering Uncertainty of Supply-Side and Demand-Side under Conditional Value-At-Risk Assessment," Sustainability, MDPI, vol. 9(9), pages 1-22, September.
    12. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.

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