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New approach to gas network modeling in unit commitment

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  • Yazdani Damavandi, Maziar
  • Kiaei, Iman
  • Sheikh-El-Eslami, Mohamad Kazem
  • Seifi, Hossein

Abstract

Expansion of gas fired units installation in power network results in more interdependency between gas and electric infrastructures. Thus new research has paid attention to the impact of gas network in power system studies. One such issue is the impact of gas network in a unit commitment problem. Many linear and nonlinear models are proposed to demonstrate this impact. However, the dynamics of these two infrastructures are different. In contrary to an electric network, the dynamic of a gas network lasts over a long period. In large scale networks, the impact of gas volume variations may remain for some hours or even for a whole day. Earlier research considered a gas network static model by which its dynamic behavior was not observed. In this paper, the quasi dynamic model is proposed for a gas network by which gas velocity and distances between gas areas may be considered. This model is assessed for a unit commitment problem on a test network and its capabilities are appreciated.

Suggested Citation

  • Yazdani Damavandi, Maziar & Kiaei, Iman & Sheikh-El-Eslami, Mohamad Kazem & Seifi, Hossein, 2011. "New approach to gas network modeling in unit commitment," Energy, Elsevier, vol. 36(10), pages 6243-6250.
  • Handle: RePEc:eee:energy:v:36:y:2011:i:10:p:6243-6250
    DOI: 10.1016/j.energy.2011.07.034
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    Citations

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    Cited by:

    1. Moradi, Saeed & Khanmohammadi, Sohrab & Hagh, Mehrdad Tarafdar & Mohammadi-ivatloo, Behnam, 2015. "A semi-analytical non-iterative primary approach based on priority list to solve unit commitment problem," Energy, Elsevier, vol. 88(C), pages 244-259.
    2. Kostowski, Wojciech J. & Skorek, Janusz, 2012. "Real gas flow simulation in damaged distribution pipelines," Energy, Elsevier, vol. 45(1), pages 481-488.
    3. Szoplik, Jolanta & Stelmasińska, Paulina, 2019. "Analysis of gas network storage capacity for alternative fuels in Poland," Energy, Elsevier, vol. 172(C), pages 343-353.
    4. Ji, Bin & Yuan, Xiaohui & Chen, Zhihuan & Tian, Hao, 2014. "Improved gravitational search algorithm for unit commitment considering uncertainty of wind power," Energy, Elsevier, vol. 67(C), pages 52-62.
    5. Szoplik, Jolanta, 2016. "Improving the natural gas transporting based on the steady state simulation results," Energy, Elsevier, vol. 109(C), pages 105-116.
    6. Jan Abrell and Hannes Weigt, 2016. "Investments in a Combined Energy Network Model: Substitution between Natural Gas and Electricity?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    7. Deane, J.P. & Ó Ciaráin, M. & Ó Gallachóir, B.P., 2017. "An integrated gas and electricity model of the EU energy system to examine supply interruptions," Applied Energy, Elsevier, vol. 193(C), pages 479-490.
    8. Mohsin, R. & Majid, Z.A. & Yusof, M.Z., 2014. "Safety distance between underground natural gas and water pipeline facilities," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 53-60.
    9. Jan Abrell and Hannes Weigt, 2016. "The Short and Long Term Impact of Europe's Natural Gas Market on Electricity Markets until 2050," The Energy Journal, International Association for Energy Economics, vol. 0(Sustainab).

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