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Value of gas network infrastructure flexibility in supporting cost effective operation of power systems

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  • Ameli, Hossein
  • Qadrdan, Meysam
  • Strbac, Goran

Abstract

The electricity system balancing is becoming increasingly challenging due to the integration of Renewable Energy Sources (RES). At the same time, the dependency of electricity network on gas supply system is expected to increase, as a result of employing flexible gas generators to support the electricity system balancing. Therefore the capability of the gas supply system to deliver gas to generators under a range of supply and demand scenarios is of a great importance. As potential solutions to improve security of gas and electricity supply, this paper investigates benefits of employing flexible multi-directional compressor stations as well as adopting a fully integrated approach to operate gas and electricity networks. A set of case studies for a GB gas and electricity networks in 2030 have been defined to quantify the value of an integrated operation paradigm versus sequential operation of gas and electricity networks. The results indicate there are significant overall system benefits (up to 65% in extreme cases) to be gained from integrated optimization of gas and electricity systems, emphasizing the important role of gas network infrastructure flexibility in efficiently accommodating the expected expansion of intermittent RES in future power systems.

Suggested Citation

  • Ameli, Hossein & Qadrdan, Meysam & Strbac, Goran, 2017. "Value of gas network infrastructure flexibility in supporting cost effective operation of power systems," Applied Energy, Elsevier, vol. 202(C), pages 571-580.
    • Handle: RePEc:eee:appene:v:202:y:2017:i:c:p:571-580
    DOI: 10.1016/j.apenergy.2017.05.132
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    References listed on IDEAS

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    1. Xydas, Erotokritos & Qadrdan, Meysam & Marmaras, Charalampos & Cipcigan, Liana & Jenkins, Nick & Ameli, Hossein, 2017. "Probabilistic wind power forecasting and its application in the scheduling of gas-fired generators," Applied Energy, Elsevier, vol. 192(C), pages 382-394.
    2. Zheng, J.H. & Wu, Q.H. & Jing, Z.X., 2017. "Coordinated scheduling strategy to optimize conflicting benefits for daily operation of integrated electricity and gas networks," Applied Energy, Elsevier, vol. 192(C), pages 370-381.
    3. 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.
    4. Skea, Jim & Chaudry, Modassar & Wang, Xinxin, 2012. "The role of gas infrastructure in promoting UK energy security," Energy Policy, Elsevier, vol. 43(C), pages 202-213.
    5. Chaudry, Modassar & Jenkins, Nick & Qadrdan, Meysam & Wu, Jianzhong, 2014. "Combined gas and electricity network expansion planning," Applied Energy, Elsevier, vol. 113(C), pages 1171-1187.
    6. Qadrdan, Meysam & Chaudry, Modassar & Wu, Jianzhong & Jenkins, Nick & Ekanayake, Janaka, 2010. "Impact of a large penetration of wind generation on the GB gas network," Energy Policy, Elsevier, vol. 38(10), pages 5684-5695, October.
    7. 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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    4. Raheli, Enrica & Wu, Qiuwei & Zhang, Menglin & Wen, Changyun, 2021. "Optimal coordinated operation of integrated natural gas and electric power systems: A review of modeling and solution methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    5. Ali Mohammad Rostami & Hossein Ameli & Mohammad Taghi Ameli & Goran Strbac, 2020. "Secure Operation of Integrated Natural Gas and Electricity Transmission Networks," Energies, MDPI, vol. 13(18), pages 1-17, September.
    6. Shabazbegian, Vahid & Ameli, Hossein & Ameli, Mohammad Taghi & Strbac, Goran & Qadrdan, Meysam, 2021. "Co-optimization of resilient gas and electricity networks; a novel possibilistic chance-constrained programming approach," Applied Energy, Elsevier, vol. 284(C).
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    8. Philipp Hauser & Sina Heidari & Christoph Weber & Dominik Möst, 2019. "Does Increasing Natural Gas Demand in the Power Sector Pose a Threat of Congestion to the German Gas Grid? A Model-Coupling Approach," Energies, MDPI, vol. 12(11), pages 1-22, June.
    9. Jing Liu & Wei Sun & Jinghao Yan, 2021. "Effect of P2G on Flexibility in Integrated Power-Natural Gas-Heating Energy Systems with Gas Storage," Energies, MDPI, vol. 14(1), pages 1-15, January.
    10. Riepin, Iegor & Möbius, Thomas & Müsgens, Felix, 2021. "Modelling uncertainty in coupled electricity and gas systems—Is it worth the effort?," Applied Energy, Elsevier, vol. 285(C).
    11. Dong, Zhe & Liu, Miao & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2019. "Automatic generation control for the flexible operation of multimodular high temperature gas-cooled reactor plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 11-31.
    12. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2020. "Optimal planning and operation of multi-vector energy networks: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    13. Sheng Chen & Antonio J. Conejo, 2020. "Strategic-Agent Equilibria in the Operation of Natural Gas and Power Markets," Energies, MDPI, vol. 13(4), pages 1-17, February.

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