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A steady-state energy flow analysis method for integrated natural gas and power systems based on topology decoupling

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  • Jiang, Yunpeng
  • Ren, Zhouyang
  • Yang, Xin
  • Li, Qiuyan
  • Xu, Yan

Abstract

The existing analyses of integrated natural gas and power systems generally ignore gas temperature variations, which may misjudge gas pressure and jeopardize natural gas transmission. Furthermore, the conventional Newton-Raphson based natural gas flow analysis methods may cause non-convergence or unnecessary computational burden. Based on topology decoupling, an efficient energy flow analysis method is proposed in the paper for integrated natural gas and power systems with the consideration of temperature distribution in natural gas systems. A lumped parameter model of natural gas flow in pipelines considering temperature is developed based on the Weymouth and Shukhov formulas. A natural gas flow model considering temperature is then established. According to the topological characteristics of natural gas systems, a topology decoupling based natural gas flow analysis method is proposed to improve computational efficiency and to lower the requirement of initialization. An energy flow analysis method for integrated natural gas and power systems is presented based on a Newton-Raphson method. The correctness and adaptability of the proposed method are verified using three widely-used test systems. The obtained simulation results show that the temperature distribution and natural gas pressures of a natural gas network can be accurately described and estimated to ensure the secure operation of integrated natural gas and power systems, and the computational efficiency and convergence performance are largely improved.

Suggested Citation

  • Jiang, Yunpeng & Ren, Zhouyang & Yang, Xin & Li, Qiuyan & Xu, Yan, 2022. "A steady-state energy flow analysis method for integrated natural gas and power systems based on topology decoupling," Applied Energy, Elsevier, vol. 306(PA).
    • Handle: RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921013088
    DOI: 10.1016/j.apenergy.2021.118007
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    References listed on IDEAS

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    1. Lin, Wei & Yang, Zhifang & Yu, Juan & Yang, Gaofeng & Wen, Lili, 2019. "Determination of Transfer Capacity Region of Tie Lines in Electricity Markets: Theory and Analysis," Applied Energy, Elsevier, vol. 239(C), pages 1441-1458.
    2. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Cui, Hantao & Li, Xiaojing, 2017. "Optimal dispatch strategy for integrated energy systems with CCHP and wind power," Applied Energy, Elsevier, vol. 192(C), pages 408-419.
    3. Zeng, Qing & Fang, Jiakun & Li, Jinghua & Chen, Zhe, 2016. "Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion," Applied Energy, Elsevier, vol. 184(C), pages 1483-1492.
    4. 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.
    5. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Li, Xiaojing, 2017. "Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process," Applied Energy, Elsevier, vol. 194(C), pages 696-704.
    6. 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).
    7. 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.
    8. 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:

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    2. Wen, Kai & Jiao, Jianfeng & Zhao, Kang & Yin, Xiong & Liu, Yuan & Gong, Jing & Li, Cuicui & Hong, Bingyuan, 2023. "Rapid transient operation control method of natural gas pipeline networks based on user demand prediction," Energy, Elsevier, vol. 264(C).
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