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Two-Stage Chance-Constrained Coordinated Operation of an Integrated Gas–Electric System

Author

Listed:
  • Yuqi Zhang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Chuan He

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Anqi Xv

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Xiaoxiao Tang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract

Under the background that the high penetration of renewable energy generation, which mainly consists of wind power, will have a significant impact on electric power systems due to the volatility and uncertainty of renewable energy, energy systems with gas–electric coupling and interconnections have been widely studied to accommodate renewable energy generation. This paper proposes a two-stage chance-constrained coordinated operation model of an integrated gas–electric system and fully considers the uncertainty and high penetration of wind power. The Taylor series expansion method is used to linearize the Weymouth gas flow equation of a natural gas system and finally obtains a mixed integer linear programming model. Case studies show the effectiveness of the integrated energy system for peak shaving, valley filling, and promoting wind power accommodation. The proposed model ensures the consumption of wind power generation and also reduces the operation cost by about 0.7%.

Suggested Citation

  • Yuqi Zhang & Chuan He & Anqi Xv & Xiaoxiao Tang, 2022. "Two-Stage Chance-Constrained Coordinated Operation of an Integrated Gas–Electric System," Energies, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4458-:d:842341
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    References listed on IDEAS

    as
    1. de Boer, Harmen Sytze & Grond, Lukas & Moll, Henk & Benders, René, 2014. "The application of power-to-gas, pumped hydro storage and compressed air energy storage in an electricity system at different wind power penetration levels," Energy, Elsevier, vol. 72(C), pages 360-370.
    2. Li, Guoqing & Zhang, Rufeng & Jiang, Tao & Chen, Houhe & Bai, Linquan & Li, Xiaojing, 2017. "Security-constrained bi-level economic dispatch model for integrated natural gas and electricity systems considering wind power and power-to-gas process," Applied Energy, Elsevier, vol. 194(C), pages 696-704.
    3. 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.
    4. Fambri, Gabriele & Diaz-Londono, Cesar & Mazza, Andrea & Badami, Marco & Sihvonen, Teemu & Weiss, Robert, 2022. "Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration," Applied Energy, Elsevier, vol. 312(C).
    5. Bai, Linquan & Li, Fangxing & Cui, Hantao & Jiang, Tao & Sun, Hongbin & Zhu, Jinxiang, 2016. "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 270-279.
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