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Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios

Author

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  • Laiqing Yan

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
    These authors contributed equally to this work.)

  • Yulin Zhao

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China
    These authors contributed equally to this work.)

  • Tailin Xue

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China)

  • Ning Ma

    (North China Electric Power Research Institute Co., Ltd., Beijing 100045, China)

  • Zhenwen Li

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China)

  • Zutai Yan

    (School of Electric Power, Civil Engineering and Architecture, Shanxi University, Taiyuan 030006, China)

Abstract

To address the problem of low-carbon, optimal operation of AC–DC hybrid microgrids, a carbon trading mechanism is introduced and the impact of multiple uncertainties on system optimization is considered. Firstly, a two-layer model with the comprehensive economy of the hybrid microgrid as the upper layer and the respective optimal operation of the AC and DC sub-microgrids as the lower layer is established and the demand-side response is introduced, based on which the uncertainty of the scenery load is simulated using the multiscenario analysis method. Then, the baseline method is used to allocate carbon emission allowances to the system without compensation, and the actual carbon emissions of diesel engines, microcombustion engines, and fuel cells are considered to construct a hybrid microgrid. Finally, the model is solved using the CPLEX solver in conjunction with the calculation example, and the simulation verifies the effectiveness and feasibility of the proposed strategy in coordinating and optimizing the economy and low carbon of the system. The results show that when the carbon trading mechanism is considered, the carbon emission of the hybrid microgrid is reduced by 4.95%, the output power of the diesel generator is reduced by 5.14%, the output power of the fuel cell is reduced by 18.22%, but the electricity purchase from the power grid is increased by 38.91%. In addition, the influence degrees of the model considering the uncertainty of renewable energy and load are simulated. Furthermore, the impact of different electricity price models on optimal operation is evaluated, and the results show that electricity price will affect electricity purchase from the power grid and further affect carbon emissions.

Suggested Citation

  • Laiqing Yan & Yulin Zhao & Tailin Xue & Ning Ma & Zhenwen Li & Zutai Yan, 2022. "Two-Layer Optimal Operation of AC–DC Hybrid Microgrid Considering Carbon Emissions Trading in Multiple Scenarios," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10524-:d:895856
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    References listed on IDEAS

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    1. Hu, Maomao & Xiao, Fu & Wang, Shengwei, 2021. "Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    2. Mohammed Kharrich & Salah Kamel & Mohamed H. Hassan & Salah K. ElSayed & Ibrahim B. M. Taha, 2021. "An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    3. Ke Jiang & Feng Wu & Xuanjun Zong & Linjun Shi & Keman Lin, 2019. "Distributed Dynamic Economic Dispatch of an Isolated AC/DC Hybrid Microgrid Based on a Finite-Step Consensus Algorithm," Energies, MDPI, vol. 12(24), pages 1-18, December.
    4. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    5. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
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    Cited by:

    1. Xu Tang & Liang Qin & Zhichun Yang & Xiangling He & Huaidong Min & Sihan Zhou & Kaipei Liu, 2023. "Optimal Scheduling of AC–DC Hybrid Distribution Network Considering the Control Mode of a Converter Station," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Yi Zhang & Tian Lan & Wei Hu, 2023. "A Two-Stage Robust Optimization Microgrid Model Considering Carbon Trading and Demand Response," Sustainability, MDPI, vol. 15(19), pages 1-22, October.

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