IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v231y2024ics096014812400884x.html
   My bibliography  Save this article

Low-carbon operation of smart distribution grid based on life cycle assessment and ladder-type carbon trading

Author

Listed:
  • Zhang, Qian
  • Wang, Daxin
  • Zhao, Chanjuan
  • Wang, Xunting
  • Ding, Jinjin
  • Wang, Haiwei
  • Zhang, Xuemeng

Abstract

A large number of EVs are commonly added to peak loads without dispatch in the smart distribution grid system, and the grid system usually suffers from excessive carbon emission problems. This paper proposes an integrated approach to control the smart distribution grid system by utilizing life cycle assessment and the market mechanism. First, the system’s carbon emissions are estimated according to life cycle assessment and carbon flow theory. Then, a bi-level optimization strategy for a smart distribution grid is presented. The upper-layer operation object is the minimum comprehensive operation cost of the smart distribution grid, which is solved using an optimization algorithm. The lower-level optimization goal is to minimize the operating cost of electric vehicles, which is solved using the CPLEX toolkit. Our simulation results demonstrate that overall operating costs have been reduced by 71.11%, while SDG’s overall carbon emissions have been reduced by 49 kg. The low-carbon growth of the smart distribution grid may be successfully promoted by appropriate trading market scheduling and efficient low-carbon dispatching.

Suggested Citation

  • Zhang, Qian & Wang, Daxin & Zhao, Chanjuan & Wang, Xunting & Ding, Jinjin & Wang, Haiwei & Zhang, Xuemeng, 2024. "Low-carbon operation of smart distribution grid based on life cycle assessment and ladder-type carbon trading," Renewable Energy, Elsevier, vol. 231(C).
  • Handle: RePEc:eee:renene:v:231:y:2024:i:c:s096014812400884x
    DOI: 10.1016/j.renene.2024.120816
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812400884X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.120816?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yan, Sizhe & Wang, Weiqing & Li, Xiaozhu & Lv, Haipeng & Fan, Tianyuan & Aikepaer, Sumaiya, 2023. "Stochastic optimal scheduling strategy of cross-regional carbon emissions trading and green certificate trading market based on Stackelberg game," Renewable Energy, Elsevier, vol. 219(P1).
    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. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    4. Li, Jinying & Li, Sisi & Wu, Fan, 2020. "Research on carbon emission reduction benefit of wind power project based on life cycle assessment theory," Renewable Energy, Elsevier, vol. 155(C), pages 456-468.
    5. Zhang, Gang & Wen, Jiaxing & Xie, Tuo & Zhang, Kaoshe & Jia, Rong, 2023. "Bi-layer economic scheduling for integrated energy system based on source-load coordinated carbon reduction," Energy, Elsevier, vol. 280(C).
    6. Lyu, Xiangmei & Liu, Tianqi & Liu, Xuan & He, Chuan & Nan, Lu & Zeng, Hong, 2023. "Low-carbon robust economic dispatch of park-level integrated energy system considering price-based demand response and vehicle-to-grid," Energy, Elsevier, vol. 263(PB).
    7. Liu, Dewen & Luo, Zhao & Qin, Jinghui & Wang, Hua & Wang, Gang & Li, Zhao & Zhao, Weijie & Shen, Xin, 2023. "Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading," Renewable Energy, Elsevier, vol. 218(C).
    8. Nie, Qingyun & Zhang, Lihui & Tong, Zihao & Dai, Guyu & Chai, Jianxue, 2022. "Cost compensation method for PEVs participating in dynamic economic dispatch based on carbon trading mechanism," Energy, Elsevier, vol. 239(PA).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gao, Minkun & Xiang, Leijun & Zhu, Shanying & Lin, Qichao, 2024. "Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading," Renewable Energy, Elsevier, vol. 237(PD).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yun, Yunyun & Zhang, Dahai & Yang, Shengchun & Li, Yaping & Yan, Jiahao, 2023. "Low-carbon optimal dispatch of integrated energy system considering the operation of oxy-fuel combustion coupled with power-to-gas and hydrogen-doped gas equipment," Energy, Elsevier, vol. 283(C).
    2. Zhao, Wanbing & Chang, Weiguang & Yang, Qiang, 2024. "Collaborative energy management of interconnected regional integrated energy systems considering spatio-temporal characteristics," Renewable Energy, Elsevier, vol. 235(C).
    3. Gao, Minkun & Xiang, Leijun & Zhu, Shanying & Lin, Qichao, 2024. "Scenario probabilistic data-driven two-stage robust optimal operation strategy for regional integrated energy systems considering ladder-type carbon trading," Renewable Energy, Elsevier, vol. 237(PD).
    4. Chen, Yuzhu & Guo, Weimin & Lund, Peter D. & Du, Na & Yang, Kun & wang, Jun, 2024. "Configuration optimization of a wind-solar based net-zero emission tri-generation energy system considering renewable power and carbon trading mechanisms," Renewable Energy, Elsevier, vol. 232(C).
    5. Gao, Yuan & Tahir, Mustafa & Siano, Pierluigi & Bi, Yue & Hu, Sile & Yang, Jiaqiang, 2025. "Optimization of renewable energy-based integrated energy systems: A three-stage stochastic robust model," Applied Energy, Elsevier, vol. 377(PD).
    6. Huang, Shangjiu & Lu, Hao & Chen, Maozhi & Zhao, Wenjun, 2023. "Integrated energy system scheduling considering the correlation of uncertainties," Energy, Elsevier, vol. 283(C).
    7. Liu, Dewen & Luo, Zhao & Qin, Jinghui & Wang, Hua & Wang, Gang & Li, Zhao & Zhao, Weijie & Shen, Xin, 2023. "Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading," Renewable Energy, Elsevier, vol. 218(C).
    8. Wang, Haibing & Zhu, Libo & Sun, Weiqing & Khan, Muhammad Qasim & Liu, Bin, 2024. "Research on energy pricing of the hydrogen refueling station based on master-slave game in multi-market," Applied Energy, Elsevier, vol. 373(C).
    9. Zhang, Jinliang & Liu, Ziyi, 2024. "Low carbon economic scheduling model for a park integrated energy system considering integrated demand response, ladder-type carbon trading and fine utilization of hydrogen," Energy, Elsevier, vol. 290(C).
    10. Li, Xu & Deng, Jianhua & Liu, Jichun, 2024. "A two-layer and three-stage dynamic demand response game model considering the out of sync response for gases generators," Renewable Energy, Elsevier, vol. 228(C).
    11. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Zhang, Tie & Meng, Dequn, 2023. "Low carbon optimization of integrated energy microgrid based on life cycle analysis method and multi time scale energy storage," Renewable Energy, Elsevier, vol. 206(C), pages 60-71.
    12. Li, Yanfei & Taghizadeh-Hesary, Farhad, 2022. "The economic feasibility of green hydrogen and fuel cell electric vehicles for road transport in China," Energy Policy, Elsevier, vol. 160(C).
    13. Kandpal, Bakul & Pareek, Parikshit & Verma, Ashu, 2022. "A robust day-ahead scheduling strategy for EV charging stations in unbalanced distribution grid," Energy, Elsevier, vol. 249(C).
    14. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    15. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    16. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    17. Shu-Hong Wang & Ma-Lin Song & Tao Yu, 2019. "Hidden Carbon Emissions, Industrial Clusters, and Structure Optimization in China," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1319-1342, December.
    18. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    19. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    20. Qianyu Zhao & Boyu Xie & Mengyao Han, 2023. "Unpacking the Sub-Regional Spatial Network of Land-Use Carbon Emissions: The Case of Sichuan Province in China," Land, MDPI, vol. 12(10), pages 1-22, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:231:y:2024:i:c:s096014812400884x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.