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Situation awareness of electricity-gas coupled systems with a multi-port equivalent gas network model

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  • Yang, Jingwei
  • Zhang, Ning
  • Botterud, Audun
  • Kang, Chongqing

Abstract

Natural gas has become one of the major fuel sources for power systems in many parts of the world due to the increasing deployment of gas-fired generators. However, under the current operational procedures, the gas system operator is unable to provide detailed network data to the power system operator due to information privacy, and thus, the power system operator has very limited knowledge of the situation variation in the gas system. To better represent the interaction between electric and gas systems and increase situation awareness, a multi-port equivalent model of gas networks and electricity-to-gas sensitivity factors is proposed in this paper by transplanting the theory of electric analogy and reduced equivalence from electric circuit analysis to gas system analysis. The multi-port equivalent model enables the gas system operator to provide the reduced equivalent boundary information of the gas system without revealing detailed network data. Based on this information, electricity-to-gas sensitivity factors are calculated by power system operators. These factors indicate “where, when and how much” the status of the gas system will change as a function of changes in power generation. Both the equivalent model and sensitivity factors have explicit matrix formulations and can contribute to improving power system operators’ awareness of varying conditions in the gas system. Several numerical tests are presented to prove the accuracy and robustness of the proposed models.

Suggested Citation

  • Yang, Jingwei & Zhang, Ning & Botterud, Audun & Kang, Chongqing, 2020. "Situation awareness of electricity-gas coupled systems with a multi-port equivalent gas network model," Applied Energy, Elsevier, vol. 258(C).
    • Handle: RePEc:eee:appene:v:258:y:2020:i:c:s0306261919317167
    DOI: 10.1016/j.apenergy.2019.114029
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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. Wang, Yi & Zhang, Ning & Zhuo, Zhenyu & Kang, Chongqing & Kirschen, Daniel, 2018. "Mixed-integer linear programming-based optimal configuration planning for energy hub: Starting from scratch," Applied Energy, Elsevier, vol. 210(C), pages 1141-1150.
    3. Pambour, Kwabena Addo & Cakir Erdener, Burcin & Bolado-Lavin, Ricardo & Dijkema, Gerard P.J., 2017. "SAInt – A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks," Applied Energy, Elsevier, vol. 203(C), pages 829-857.
    4. 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.
    5. Zeng, Qing & Zhang, Baohua & Fang, Jiakun & Chen, Zhe, 2017. "A bi-level programming for multistage co-expansion planning of the integrated gas and electricity system," Applied Energy, Elsevier, vol. 200(C), pages 192-203.
    6. Qiao, Zheng & Guo, Qinglai & Sun, Hongbin & Pan, Zhaoguang & Liu, Yuquan & Xiong, Wen, 2017. "An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power," Applied Energy, Elsevier, vol. 201(C), pages 343-353.
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    Cited by:

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    7. Sun, Peng & Teng, Yun & Chen, Zhe, 2021. "Robust coordinated optimization for multi-energy systems based on multiple thermal inertia numerical simulation and uncertainty analysis," Applied Energy, Elsevier, vol. 296(C).

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