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Distributed dispatch of non-convex integrated electricity and gas systems considering AC power flow and gas dynamics

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  • Luo, Qingju
  • Zhu, Jizhong
  • Zhang, Di
  • Zhu, Haohao
  • Li, Shenglin

Abstract

The coordinated operation of the integrated electricity and gas system (IEGS) produces significant economic and environmental benefits. This paper adopts the non-convex alternating current (AC) power flow and dynamic gas models to characterize the IEGS accurately and uses an improved decomposition-coordination interior point method (IDIPM) for efficient distributed solution of non-convex IEGS dispatch problems. Different from the conventional distributed algorithms, the decomposition-coordination interior point method (DIPM) is mathematically equivalent to the centralized interior point method (CIPM), which guarantees the local convergence of the non-convex distributed optimization. We improved the DIPM by modifying the Newton matrix and using Schur complement and matrix decomposition, making its solution speed faster than the DIPM and CIPM. Furthermore, the IDIPM avoids the numerical problem caused by the DIPM and is therefore more robust. The effectiveness of the IDIPM-based distributed dispatch method is verified by numerical tests on two IEGSs of different scales. In the best case, the efficiency of the IDIPM can be increased to 4 times that of the traditional CIPM.

Suggested Citation

  • Luo, Qingju & Zhu, Jizhong & Zhang, Di & Zhu, Haohao & Li, Shenglin, 2025. "Distributed dispatch of non-convex integrated electricity and gas systems considering AC power flow and gas dynamics," Applied Energy, Elsevier, vol. 392(C).
    • Handle: RePEc:eee:appene:v:392:y:2025:i:c:s030626192500755x
    DOI: 10.1016/j.apenergy.2025.126025
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    1. Wang, Sheng & Hui, Hongxun & Chen, Tao & Zhai, Junyi, 2025. "Multi-period operation of integrated electricity and gas systems with hydrogen blending considering gas composition dynamics," Applied Energy, Elsevier, vol. 377(PC).
    2. Hou, Yanqiu & Bao, Minglei & Sang, Maosheng & Ding, Yi, 2024. "A market framework to exploit the multi-energy operating reserve of smart energy hubs in the integrated electricity-gas systems," Applied Energy, Elsevier, vol. 357(C).
    3. Zhang, Suhan & Chen, Shibo & Gu, Wei & Lu, Shuai & Chung, Chi Yung, 2024. "Dynamic optimal energy flow of integrated electricity and gas systems in continuous space," Applied Energy, Elsevier, vol. 375(C).
    4. Liu, Rong-Peng & Sun, Wei & Yin, Wenqian & Zhou, Dali & Hou, Yunhe, 2021. "Extended convex hull-based distributed optimal energy flow of integrated electricity-gas systems," Applied Energy, Elsevier, vol. 287(C).
    5. 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).
    6. Wei, Zhenbo & Wei, Pingan & Chen, Chiyao & Gao, Hongjun & Luo, Zihang & Xiang, Yue, 2023. "Two-stage stochastic decentralized low-carbon economic dispatch of integrated electricity-gas networks," Energy, Elsevier, vol. 282(C).
    7. 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).
    8. 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.
    9. Chen, Yuwei & Guo, Qinglai & Sun, Hongbin & Pan, Zhaoguang & Chen, Binbin, 2021. "Generalized phasor modeling of dynamic gas flow for integrated electricity-gas dispatch," Applied Energy, Elsevier, vol. 283(C).
    10. Zhao, Peiyao & Li, Zhengshuo & Bai, Xiang & Su, Jia & Chang, Xinyue, 2024. "Stochastic real-time dispatch considering AGC and electric-gas dynamic interaction: Fine-grained modeling and noniterative decentralized solutions," Applied Energy, Elsevier, vol. 375(C).
    11. Qu, Kaiping & Shi, Shouyuan & Yu, Tao & Wang, Wenrui, 2019. "A convex decentralized optimization for environmental-economic power and gas system considering diversified emission control," Applied Energy, Elsevier, vol. 240(C), pages 630-645.
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