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Steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion

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  • Zeng, Qing
  • Fang, Jiakun
  • Li, Jinghua
  • Chen, Zhe

Abstract

Nowadays, the electric power system and natural gas network are becoming increasingly coupled and interdependent. A harmonized integration of natural gas and electricity network with bi-directional energy conversion is expected to accommodate high penetration levels of renewables in terms of system flexibility. This work focuses on the steady-state analysis of the integrated natural gas and electric power system with bi-directional energy conversion. A unified energy flow formulation is developed to describe the nodal balance and branch flow in both systems and it is solved with the Newton–Raphson method. Both the unification of units and the per-unit system are proposed to simplify the system description and to enhance the computation efficiency. The applicability of the proposed method is demonstrated by analyzing an IEEE-9 test system integrated with a 7-node natural gas network. Later, time series of wind power and power load are used to investigate the mitigation effect of the integrated energy system. At last, the effect of wind power and power demand on the output of Power to Gas (P2G) and gas-fired power generation (GPG) has also been investigated.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:184:y:2016:i:c:p:1483-1492
    DOI: 10.1016/j.apenergy.2016.05.060
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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. Ahern, Eoin P. & Deane, Paul & Persson, Tobias & Ó Gallachóir, Brian & Murphy, Jerry D., 2015. "A perspective on the potential role of renewable gas in a smart energy island system," Renewable Energy, Elsevier, vol. 78(C), pages 648-656.
    3. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    4. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2011. "The first step towards a 100% renewable energy-system for Ireland," Applied Energy, Elsevier, vol. 88(2), pages 502-507, February.
    5. Dupont, B. & Dietrich, K. & De Jonghe, C. & Ramos, A. & Belmans, R., 2014. "Impact of residential demand response on power system operation: A Belgian case study," Applied Energy, Elsevier, vol. 122(C), pages 1-10.
    6. Bhandari, Binayak & Lee, Kyung-Tae & Lee, Caroline Sunyong & Song, Chul-Ki & Maskey, Ramesh K. & Ahn, Sung-Hoon, 2014. "A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources," Applied Energy, Elsevier, vol. 133(C), pages 236-242.
    7. Neves, Diana & Pina, André & Silva, Carlos A., 2015. "Demand response modeling: A comparison between tools," Applied Energy, Elsevier, vol. 146(C), pages 288-297.
    8. Beevers, D. & Branchini, L. & Orlandini, V. & De Pascale, A. & Perez-Blanco, H., 2015. "Pumped hydro storage plants with improved operational flexibility using constant speed Francis runners," Applied Energy, Elsevier, vol. 137(C), pages 629-637.
    9. Cutter, Eric & Haley, Ben & Hargreaves, Jeremy & Williams, Jim, 2014. "Utility scale energy storage and the need for flexible capacity metrics," Applied Energy, Elsevier, vol. 124(C), pages 274-282.
    10. Hernandez-Fajardo, Isaac & Dueñas-Osorio, Leonardo, 2013. "Probabilistic study of cascading failures in complex interdependent lifeline systems," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 260-272.
    11. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    12. Mathiesen, Brian Vad & Lund, Henrik & Connolly, David, 2012. "Limiting biomass consumption for heating in 100% renewable energy systems," Energy, Elsevier, vol. 48(1), pages 160-168.
    13. Zhao, M. & Chen, Z. & Blaabjerg, F., 2006. "Probabilistic capacity of a grid connected wind farm based on optimization method," Renewable Energy, Elsevier, vol. 31(13), pages 2171-2187.
    14. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
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