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Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading

Author

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  • Lei Yao

    (School of Economics, Wuhan University of Technology, Wuhan 430072, China
    Gezhouba Group Transportation Investment Co., Ltd., Wuhan 430030, China)

  • Chongtao Bai

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Hao Fu

    (Gezhouba Group Transportation Investment Co., Ltd., Wuhan 430030, China)

  • Suhua Lou

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yan Fu

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

An expressway microgrid can make full use of renewable resources near the road area and enable joint carbon reduction in both transportation and energy sectors. It is important to research the optimal construction mode and capacity configuration method of expressway microgrid considering the carbon trading and carbon offset mechanism. This paper establishes a design model for an expressway microgrid considering the operating features of each component in the microgrid under two patterns of grid-connected/islanded and two types of AC/DC. The goal of the proposed model is to minimize the annualized comprehensive cost, which includes the annualized investment cost, operational cost, and carbon trading cost. The model designates the optimal construction mode of an expressway microgrid, i.e., grid-connected or islanded, AC or DC. As a mixed integer nonlinear programming (MINLP) problem, the proposed model can be solved in a commercial solver conveniently, such as GUROBI and CPLEX. The validity and practicality of the proposed model have been demonstrated through case studies in several different application scenarios, which also demonstrate the necessity of considering carbon trading mechanisms in the design model.

Suggested Citation

  • Lei Yao & Chongtao Bai & Hao Fu & Suhua Lou & Yan Fu, 2023. "Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading," Energies, MDPI, vol. 16(18), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6720-:d:1243859
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    References listed on IDEAS

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    1. Fei Feng & Xin Du & Qiang Si & Hao Cai, 2022. "Hybrid Game Optimization of Microgrid Cluster (MC) Based on Service Provider (SP) and Tiered Carbon Price," Energies, MDPI, vol. 15(14), pages 1-22, July.
    2. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    3. Ning, Fuwei & Ji, Li & Ma, Jing & Jia, Limin & Yu, Zhenwei, 2021. "Research and analysis of a flexible integrated development model of railway system and photovoltaic in China," Renewable Energy, Elsevier, vol. 175(C), pages 853-867.
    4. Hafez, Omar & Bhattacharya, Kankar, 2017. "Optimal design of electric vehicle charging stations considering various energy resources," Renewable Energy, Elsevier, vol. 107(C), pages 576-589.
    5. Vitor Fernão Pires & Armando Pires & Armando Cordeiro, 2023. "DC Microgrids: Benefits, Architectures, Perspectives and Challenges," Energies, MDPI, vol. 16(3), pages 1-20, January.
    6. Song, Malin & Zheng, Wanping & Wang, Zeya, 2016. "Environmental efficiency and energy consumption of highway transportation systems in China," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 441-449.
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    Cited by:

    1. Min You & Yunguang Wang & Haiyun Wang & Aisikaer Wusiman & Liangnian Lv, 2024. "Research on Capacity Configuration for Green Power Substitution in an Isolated Grid Containing Electrolytic Aluminum," Energies, MDPI, vol. 17(9), pages 1-23, April.

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