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Two-stage robust operation of electricity-gas-heat integrated multi-energy microgrids considering heterogeneous uncertainties

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  • Zhang, Rufeng
  • Chen, Yan
  • Li, Zhengmao
  • Jiang, Tao
  • Li, Xue

Abstract

With the widespread adoption of combined heat and power and power-to-heat technologies, multi-energy microgrids (MEMGs) have been garnering significant research attention from both industry and academia. However, dealing with uncertainties from renewable energy and load and coordinating multiple energy carriers are the main challenges for MEMG operation. In this regard, a two-stage robust operation method of electricity-gas-heat integrated MEMGs considering heterogeneous uncertainties is proposed in this paper. First, network models for an electricity-gas-heat-based distribution-level MEMG are formulated considering the dynamic characteristics of gas and heat networks. Then, the power-to‑hydrogen-and-heat unit and ladder-type carbon trading mechanism are introduced to reduce the curtailment of wind power and carbon emissions. Further, a two-stage robust optimization (TSRO) method is applied to tackle uncertainties of wind power and load under extreme scenarios in the MEMG operation by iteratively solving the operation problem with the column and constraint generation (C&CG) algorithm. Finally, case studies are conducted to verify our proposed method, demonstrating that it can reduce the multi-energy supply cost while the stepped carbon trading mechanism can also significantly reduce carbon emissions.

Suggested Citation

  • Zhang, Rufeng & Chen, Yan & Li, Zhengmao & Jiang, Tao & Li, Xue, 2024. "Two-stage robust operation of electricity-gas-heat integrated multi-energy microgrids considering heterogeneous uncertainties," Applied Energy, Elsevier, vol. 371(C).
  • Handle: RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010730
    DOI: 10.1016/j.apenergy.2024.123690
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    Cited by:

    1. Milad Mohammadyari & Mohsen Eskandari, 2024. "Stochastic Convex Cone Programming for Joint Optimal BESS Operation and Q-Placement in Net-Zero Microgrids," Energies, MDPI, vol. 17(17), pages 1-16, August.
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    3. Fabio Massaro & Maria Luisa Di Silvestre & Marco Ferraro & Francesco Montana & Eleonora Riva Sanseverino & Salvatore Ruffino, 2024. "Energy Hub Model for the Massive Adoption of Hydrogen in Power Systems," Energies, MDPI, vol. 17(17), pages 1-31, September.
    4. Yongjie Yang & Yulong Li & Yan Cai & Hui Tang & Peng Xu, 2024. "Data-Driven Golden Jackal Optimization–Long Short-Term Memory Short-Term Energy-Consumption Prediction and Optimization System," Energies, MDPI, vol. 17(15), pages 1-20, July.
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    10. Kasin Ransikarbum & Hartmut Zadek & Jettarat Janmontree, 2024. "Evaluating Renewable Energy Sites in the Green Hydrogen Supply Chain with Integrated Multi-Criteria Decision Analysis," Energies, MDPI, vol. 17(16), pages 1-22, August.
    11. Roxana Grigore & Aneta Hazi & Ioan Viorel Banu & Sorin Eugen Popa & Sorin Gabriel Vernica, 2024. "Enhancing the Energy Performance of a Gas Turbine: Component of a High-Efficiency Cogeneration Plant," Energies, MDPI, vol. 17(19), pages 1-17, September.
    12. Beata Kurc & Xymena Gross & Natalia Szymlet & Łukasz Rymaniak & Krystian Woźniak & Marita Pigłowska, 2024. "Hydrogen-Powered Vehicles: A Paradigm Shift in Sustainable Transportation," Energies, MDPI, vol. 17(19), pages 1-38, September.
    13. Mahmoud Kiasari & Mahdi Ghaffari & Hamed H. Aly, 2024. "A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems," Energies, MDPI, vol. 17(16), pages 1-38, August.
    14. Xu Guo & Yang Li & Feng Wu & Linjun Shi & Yuzhe Chen & Hailun Wang, 2024. "Optimal Battery Storage Configuration for High-Proportion Renewable Power Systems Considering Minimum Inertia Requirements," Sustainability, MDPI, vol. 16(17), pages 1-23, September.
    15. Shuang Zeng & Heng Zhang & Fang Wang & Baoqun Zhang & Qiwen Ke & Chang Liu, 2024. "Two-Stage Optimization Scheduling of Integrated Energy Systems Considering Demand Side Response," Energies, MDPI, vol. 17(20), pages 1-23, October.
    16. Shah Faisal & Ciwei Gao, 2024. "A Comprehensive Review of Integrated Energy Systems Considering Power-to-Gas Technology," Energies, MDPI, vol. 17(18), pages 1-21, September.
    17. Simona Di Fraia & Rafał Figaj & Musannif Shah & Laura Vanoli, 2024. "Biomass-Driven Polygeneration Coupled to Power-to-X: An Energy and Economic Comparison Between On-Site Electric Vehicle Charging and Hydrogen Production," Energies, MDPI, vol. 17(21), pages 1-24, November.

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