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A Unique Electrical Model for the Steady-State Analysis of a Multi-Energy System

Author

Listed:
  • Danko Vidović

    (Energy Institute Hrvoje Požar, Savska Cesta 163, 10000 Zagreb, Croatia)

  • Elis Sutlović

    (Mechanical Engineering and Naval Architecture, Faculty of Electrical Engineering, University of Split, Ruđera Boškovića 32, 21000 Split, Croatia)

  • Matislav Majstrović

    (Mechanical Engineering and Naval Architecture, Faculty of Electrical Engineering, University of Split, Ruđera Boškovića 32, 21000 Split, Croatia)

Abstract

In order to decarbonize the energy sector, the interdependencies between the power and natural gas systems are going to be much stronger in the next period. Thus, it is necessary to have a powerful simulation model that is able to efficiently and simultaneously solve all coupled energy carriers in a single simulation environment in only one simulation step. As an answer to the described computational challenges, a unique model for the steady-state analysis of a multi-energy system (MES) using the electrical analogy approach is developed. Detailed electrical equivalent models, developed using the network port theory and the load flow method formulation, of the most important natural gas network elements, as well as of the linking facilities between the power and natural gas systems, are given. The presented models were loaded up into a well-known software for the power system simulation—NEPLAN. In the case studies, the accuracy of the presented models is confirmed by the comparison of the simulation results with the results obtained by SIMONE—a well-known software for natural gas network simulations. Moreover, the applicability of the presented unique model is demonstrated by the MES security of a supply analysis.

Suggested Citation

  • Danko Vidović & Elis Sutlović & Matislav Majstrović, 2021. "A Unique Electrical Model for the Steady-State Analysis of a Multi-Energy System," Energies, MDPI, vol. 14(18), pages 1-23, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5753-:d:634321
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    References listed on IDEAS

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    1. He, Liangce & Lu, Zhigang & Zhang, Jiangfeng & Geng, Lijun & Zhao, Hao & Li, Xueping, 2018. "Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas," Applied Energy, Elsevier, vol. 224(C), pages 357-370.
    2. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    3. Lewandowska-Bernat, Anna & Desideri, Umberto, 2018. "Opportunities of power-to-gas technology in different energy systems architectures," Applied Energy, Elsevier, vol. 228(C), pages 57-67.
    4. 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.
    5. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2017. "A multi vector energy analysis for interconnected power and gas systems," Applied Energy, Elsevier, vol. 192(C), pages 315-328.
    6. Qadrdan, Meysam & Ameli, Hossein & Strbac, Goran & Jenkins, Nicholas, 2017. "Efficacy of options to address balancing challenges: Integrated gas and electricity perspectives," Applied Energy, Elsevier, vol. 190(C), pages 181-190.
    7. 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.
    8. 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.
    9. 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.
    10. Vidović, Danko & Sutlović, Elis & Majstrović, Matislav, 2019. "Steady state analysis and modeling of the gas compressor station using the electrical analogy," Energy, Elsevier, vol. 166(C), pages 307-317.
    11. Cui, Hantao & Li, Fangxing & Hu, Qinran & Bai, Linquan & Fang, Xin, 2016. "Day-ahead coordinated operation of utility-scale electricity and natural gas networks considering demand response based virtual power plants," Applied Energy, Elsevier, vol. 176(C), pages 183-195.
    12. Mazza, Andrea & Bompard, Ettore & Chicco, Gianfranco, 2018. "Applications of power to gas technologies in emerging electrical systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 794-806.
    13. Vidović, Danko & Sutlović, Elis & Majstrović, Matislav, 2020. "The electrical analogy model of the gas pressure reducing and metering station," Energy, Elsevier, vol. 198(C).
    14. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2016. "The importance of gas infrastructure in power systems with high wind power penetrations," Applied Energy, Elsevier, vol. 167(C), pages 294-304.
    15. 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.
    16. Guelpa, Elisa & Bischi, Aldo & Verda, Vittorio & Chertkov, Michael & Lund, Henrik, 2019. "Towards future infrastructures for sustainable multi-energy systems: A review," Energy, Elsevier, vol. 184(C), pages 2-21.
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