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Flexible Dispatch for Integrated Power and Gas Systems Considering Power-to-Gas and Demand Response

Author

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  • Jiandong Duan

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Fan Liu

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Yao Yang

    (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Zhuanting Jin

    (State Grid Baoji Power Supply Corporation, Baoji 721004, China)

Abstract

Aiming at the problem of insufficient flexibility of the power system caused by large-scale wind power grid integration, a flexible economic dispatch model of the electricity-gas integrated system that considers power-to-gas and demand responses is proposed. First, it elaborates on the scheduling flexibility and demand response model. Secondly, the power system and the natural gas system are regarded as different stakeholders; with the goal of minimizing their respective operating costs, a two-tier distributed coordination optimization model of electricity and gas system is established. In order to achieve the coordination and optimization of the upper and lower systems, slack variables are introduced to describe the infeasible part of the power system scheduling results in the natural gas system and are used for interactive iterative solution of the model. The numerical results of the revised IEEE 30-node power system and 10-node natural gas system illustrate the effectiveness and necessity of the proposed model, as well as the superiority of comprehensively considering power-to-gas and demand response in improving the flexibility and economy of the power system.

Suggested Citation

  • Jiandong Duan & Fan Liu & Yao Yang & Zhuanting Jin, 2021. "Flexible Dispatch for Integrated Power and Gas Systems Considering Power-to-Gas and Demand Response," Energies, MDPI, vol. 14(17), pages 1-26, September.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5554-:d:629632
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    References listed on IDEAS

    as
    1. He, Chuan & Wu, Lei & Liu, Tianqi & Wei, Wei & Wang, Cheng, 2018. "Co-optimization scheduling of interdependent power and gas systems with electricity and gas uncertainties," Energy, Elsevier, vol. 159(C), pages 1003-1015.
    2. Wei Zhang & Ruoyao Liu & Xinyu Yang, 2019. "Study on Operating Strategy of Electric–Gas Combined System Considering the Improvement of Dispatchability," Energies, MDPI, vol. 12(23), pages 1-24, December.
    3. Farrokhifar, Meisam & Nie, Yinghui & Pozo, David, 2020. "Energy systems planning: A survey on models for integrated power and natural gas networks coordination," Applied Energy, Elsevier, vol. 262(C).
    4. Andrzej J. Osiadacz & Niccolo Isoli, 2020. "Multi-Objective Optimization of Gas Pipeline Networks," Energies, MDPI, vol. 13(19), pages 1-19, October.
    5. Fabian Scheller & Robert Burkhardt & Robert Schwarzeit & Russell McKenna & Thomas Bruckner, 2020. "Competition between simultaneous demand-side flexibility options: The case of community electricity storage systems," Papers 2011.05809, arXiv.org.
    6. Omar Mohamed & Ashraf Khalil, 2020. "Progress in Modeling and Control of Gas Turbine Power Generation Systems: A Survey," Energies, MDPI, vol. 13(9), pages 1-26, May.
    7. Li, Peng & Wang, Zixuan & Wang, Jiahao & Yang, Weihong & Guo, Tianyu & Yin, Yunxing, 2021. "Two-stage optimal operation of integrated energy system considering multiple uncertainties and integrated demand response," Energy, Elsevier, vol. 225(C).
    8. Ju, Liwei & Tan, Zhongfu & Yuan, Jinyun & Tan, Qingkun & Li, Huanhuan & Dong, Fugui, 2016. "A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response," Applied Energy, Elsevier, vol. 171(C), pages 184-199.
    9. Scheller, Fabian & Burkhardt, Robert & Schwarzeit, Robert & McKenna, Russell & Bruckner, Thomas, 2020. "Competition between simultaneous demand-side flexibility options: the case of community electricity storage systems," Applied Energy, Elsevier, vol. 269(C).
    10. Xi, Yufei & Fang, Jiakun & Chen, Zhe & Zeng, Qing & Lund, Henrik, 2021. "Optimal coordination of flexible resources in the gas-heat-electricity integrated energy system," Energy, Elsevier, vol. 223(C).
    11. Rakipour, Davood & Barati, Hassan, 2019. "Probabilistic optimization in operation of energy hub with participation of renewable energy resources and demand response," Energy, Elsevier, vol. 173(C), pages 384-399.
    12. Faridpak, Behdad & Farrokhifar, Meisam & Murzakhanov, Ilgiz & Safari, Amin, 2020. "A series multi-step approach for operation Co-optimization of integrated power and natural gas systems," Energy, Elsevier, vol. 204(C).
    13. 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.
    14. Dongri Han & Tuochen Li & Shaosong Feng & Ziyi Shi, 2020. "Does Renewable Energy Consumption Successfully Promote the Green Transformation of China’s Industry?," Energies, MDPI, vol. 13(1), pages 1-14, January.
    15. Fang, Xin & Cui, Hantao & Yuan, Haoyu & Tan, Jin & Jiang, Tao, 2019. "Distributionally-robust chance constrained and interval optimization for integrated electricity and natural gas systems optimal power flow with wind uncertainties," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
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