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Flexible Co-Scheduling of integrated electrical and gas energy networks under continuous and discrete uncertainties

Author

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  • Nikoobakht, Ahmad
  • Aghaei, Jamshid
  • Fallahzadeh-Abarghouei, Hossein
  • Hemmati, Rasul

Abstract

In co-scheduling of the integrated electrical energy and natural gas systems with high penetration of renewable energy sources, it is vital to have flexible resources to handle uncertainties, viz., continuous wind uncertainty and discrete equipment failures. Accordingly, this paper evaluates the effectiveness of electrical grid flexibility, i.e., optimal grid reconfiguration (OGR), on the scheduling plan of both energy systems. Also, to characterize the continuous/discrete uncertainty sources, this paper aims to develop a new computationally-efficient hybrid stochastic/IGDT (HS-IGDT) optimization framework for the co-scheduling of electrical energy and natural gas systems. Finally, the IEEE Reliability Test System with ten-node gas transmission system have been analyzed to show the efficiency of the proposed framework.

Suggested Citation

  • Nikoobakht, Ahmad & Aghaei, Jamshid & Fallahzadeh-Abarghouei, Hossein & Hemmati, Rasul, 2019. "Flexible Co-Scheduling of integrated electrical and gas energy networks under continuous and discrete uncertainties," Energy, Elsevier, vol. 182(C), pages 201-210.
    • Handle: RePEc:eee:energy:v:182:y:2019:i:c:p:201-210
    DOI: 10.1016/j.energy.2019.06.053
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    Citations

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    Cited by:

    1. Xu, Jiuping & Liu, Liying & Wang, Fengjuan, 2022. "Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China," Energy, Elsevier, vol. 240(C).
    2. Hosseini, Seyed Hamid Reza & Allahham, Adib & Walker, Sara Louise & Taylor, Phil, 2021. "Uncertainty analysis of the impact of increasing levels of gas and electricity network integration and storage on Techno-Economic-Environmental performance," Energy, Elsevier, vol. 222(C).
    3. Nikoobakht, Ahmad & Aghaei, Jamshid & Mendes, Gonçalo Pinto & Vahidinasab, Vahid, 2022. "Decentralized cooperation of natural gas and power systems with preserved privacy and decision-making independence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "A review of co-optimization approaches for operational and planning problems in the energy sector," Applied Energy, Elsevier, vol. 304(C).
    5. Hang Liu & Shilin Nie, 2019. "Low Carbon Scheduling Optimization of Flexible Integrated Energy System Considering CVaR and Energy Efficiency," Sustainability, MDPI, vol. 11(19), pages 1-27, September.
    6. Gargari, Milad Zamani & Hagh, Mehrdad Tarafdar & Zadeh, Saeid Ghassem, 2021. "Preventive maintenance scheduling of multi energy microgrid to enhance the resiliency of system," Energy, Elsevier, vol. 221(C).
    7. 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).
    8. Zhang, Mingyang & Zhou, Ming & Wu, Zhaoyuan & Yang, Hongji & Li, Gengyin, 2022. "A ramp capability-aware scheduling strategy for integrated electricity-gas systems," Energy, Elsevier, vol. 241(C).

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