IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i9p2119-d1385526.html
   My bibliography  Save this article

Optimal Scheduling of Electricity and Carbon in Multi-Park Integrated Energy Systems

Author

Listed:
  • Kun Li

    (School of Energy and Mechanical Engineering, Shanghai University of Electric Power of China, Shanghai 201306, China)

  • Yulong Ying

    (School of Energy and Mechanical Engineering, Shanghai University of Electric Power of China, Shanghai 201306, China)

  • Xiangyu Yu

    (School of Energy and Mechanical Engineering, Shanghai University of Electric Power of China, Shanghai 201306, China)

  • Jingchao Li

    (School of Electronic and Information, Shanghai Dianji University, Shanghai 201306, China)

Abstract

In order to maximize the utilization efficiency of renewable energy resources and reduce carbon costs in multi-park integrated energy systems (MIESs), this paper proposes an electricity–carbon energy scheduling method for MIESs, where a electricity–carbon joint trading market is established to allow energy interactions between IESs so as to satisfy their energy deficiencies and surpluses. Simultaneously, through leveraging differences in carbon prices among regions, carbon quotas are shared between all IESs, thereby reducing the overall carbon trading costs within the region. The paper also suggests that to encourage carbon cooperation between IESs, incentive measures such as government subsidies could be provided to foster collaboration. The simulation results demonstrate that the proposed electricity–carbon energy scheduling method for MIESs can effectively improve the utilization flexibility of various energy resources and obtain the higher economic benefits, compared with the traditional method where each IES operates independently.

Suggested Citation

  • Kun Li & Yulong Ying & Xiangyu Yu & Jingchao Li, 2024. "Optimal Scheduling of Electricity and Carbon in Multi-Park Integrated Energy Systems," Energies, MDPI, vol. 17(9), pages 1-30, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2119-:d:1385526
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/9/2119/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/9/2119/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Jiacheng & Wu, Di & Wang, Yuanyuan & Wang, Liming & Guo, Hanyuan, 2023. "Co-optimization method research and comprehensive benefits analysis of regional integrated energy system," Applied Energy, Elsevier, vol. 340(C).
    2. Qin, Chun & Zhao, Jun & Chen, Long & Liu, Ying & Wang, Wei, 2022. "An adaptive piecewise linearized weighted directed graph for the modeling and operational optimization of integrated energy systems," Energy, Elsevier, vol. 244(PA).
    3. Duan, Pengfei & Zhao, Bingxu & Zhang, Xinghui & Fen, Mengdan, 2023. "A day-ahead optimal operation strategy for integrated energy systems in multi-public buildings based on cooperative game," Energy, Elsevier, vol. 275(C).
    4. Shen, Weijie & Zeng, Bo & Zeng, Ming, 2023. "Multi-timescale rolling optimization dispatch method for integrated energy system with hybrid energy storage system," Energy, Elsevier, vol. 283(C).
    5. Liu, Zhiqiang & Cui, Yanping & Wang, Jiaqiang & Yue, Chang & Agbodjan, Yawovi Souley & Yang, Yu, 2022. "Multi-objective optimization of multi-energy complementary integrated energy systems considering load prediction and renewable energy production uncertainties," Energy, Elsevier, vol. 254(PC).
    6. Huang, Yujing & Wang, Yudong & Liu, Nian, 2022. "A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization," Energy, Elsevier, vol. 244(PA).
    7. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    8. Li, Qi & Xiao, Xukang & Pu, Yuchen & Luo, Shuyu & Liu, Hong & Chen, Weirong, 2023. "Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy," Applied Energy, Elsevier, vol. 349(C).
    9. Graça Gomes, J. & Xu, H.J. & Yang, Q. & Zhao, C.Y., 2021. "An optimization study on a typical renewable microgrid energy system with energy storage," Energy, Elsevier, vol. 234(C).
    Full references (including those not matched with items on IDEAS)

    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. Liu, Zhi-Feng & Zhao, Shi-Xiang & Luo, Xing-Fu & Huang, Ya-He & Gu, Rui-Zheng & Li, Ji-Xiang & Li, Ling-Ling, 2025. "Two-layer energy dispatching and collaborative optimization of regional integrated energy system considering stakeholders game and flexible load management," Applied Energy, Elsevier, vol. 379(C).
    2. Chen, Maozhi & Lu, Hao & Chang, Xiqiang & Liao, Haiyan, 2023. "An optimization on an integrated energy system of combined heat and power, carbon capture system and power to gas by considering flexible load," Energy, Elsevier, vol. 273(C).
    3. Zhang, Xiaofeng & Liu, Yuting & Zhan, Yu & Yan, Renshi & Mei, Jin & Fu, Ang & Jiao, Fan & Zeng, Rong, 2024. "Multi-scenario optimization and performance evaluation of integrated energy system considering co-scheduling of EVs and stationary energy storage," Renewable Energy, Elsevier, vol. 237(PD).
    4. Ma, Lan & Xie, Lirong & Ye, Jiahao & Bian, Yifan, 2024. "Two-stage dispatching strategy for park-level integrated energy systems based on a master-slave-cooperative hybrid game model," Renewable Energy, Elsevier, vol. 232(C).
    5. Yin, Boyi & Zhu, Wenjiang & Tang, Cheng & Wang, Can & Xu, Xinhai, 2025. "Hierarchical optimal scheduling of IES considering SOFC degradation, internal and external uncertainties," Applied Energy, Elsevier, vol. 381(C).
    6. Zhihan Shi & Weisong Han & Guangming Zhang & Zhiqing Bai & Mingxiang Zhu & Xiaodong Lv, 2022. "Research on Low-Carbon Energy Sharing through the Alliance of Integrated Energy Systems with Multiple Uncertainties," Energies, MDPI, vol. 15(24), pages 1-20, December.
    7. Jia, Jiandong & Li, Haiqiao & Wu, Di & Guo, Jiacheng & Jiang, Leilei & Fan, Zeming, 2024. "Multi-objective optimization study of regional integrated energy systems coupled with renewable energy, energy storage, and inter-station energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    8. Xiaozhi Gao & Han Xiao & Shiwei Xu & Hsiung-Cheng Lin & Pengyu Chang, 2024. "What Is the Optimal Solution for Scheduling Multiple Energy Systems? Overview and Analysis of Integrated Energy Co-Dispatch Models," Energies, MDPI, vol. 17(18), pages 1-25, September.
    9. Uda Bala & Wei Li & Wenguo Wang & Yuying Gong & Yaheng Su & Yingshu Liu & Yi Zhang & Wei Wang, 2024. "The Sharing Energy Storage Mechanism for Demand Side Energy Communities," Energies, MDPI, vol. 17(21), pages 1-19, October.
    10. Bian, Yifan & Xie, Lirong & Ma, Lan & Zhang, Hangong, 2024. "A novel two-stage energy sharing method for data center cluster considering ‘Carbon-Green Certificate’ coupling mechanism," Energy, Elsevier, vol. 313(C).
    11. Xu, Xun & Shao, Zhenguo & Chen, Feixiong & Cheng, Guoyang, 2024. "Multi-game optimization operation strategy for integrated energy system considering spatiotemporal correlation of renewable energy," Energy, Elsevier, vol. 303(C).
    12. Wang, Yibo & Lin, Ze & Wang, Bowen & Liu, Chuang & Cai, Guowei & Liu, Hongdan & Ge, Junxiong, 2025. "Two-stage day-ahead and intraday low-carbon dispatch method based on enhancing the peak-load regulation capability of cogeneration units with a novel multi-stage Tesla valve thermal storage device," Energy, Elsevier, vol. 316(C).
    13. Hua, Lin & Junjie, Xia & Xiang, Gao & Lei, Zheng & Dengwei, Jing & Zhang, Xiongwen & Liejin, Guo, 2024. "Scenario-based stochastic optimization on the variability of solar and wind for component sizing of integrated energy systems," Renewable Energy, Elsevier, vol. 237(PA).
    14. Qingxi Huang & Yongxin Song & Qie Sun & Xiaohan Ren & Wei Wang, 2024. "Integrating Compressed CO 2 Energy Storage in an Integrated Energy System," Energies, MDPI, vol. 17(7), pages 1-21, March.
    15. Fan, Guangyao & Yu, Binbin & Sun, Bo & Li, Fan, 2024. "Multi-time-space scale optimization for a hydrogen-based regional multi-energy system," Applied Energy, Elsevier, vol. 371(C).
    16. Huang, Shangjiu & Lu, Hao & Chen, Maozhi & Zhao, Wenjun, 2023. "Integrated energy system scheduling considering the correlation of uncertainties," Energy, Elsevier, vol. 283(C).
    17. Qiang Shuai & Yue Yin & Shan Huang & Chao Chen, 2025. "Deep Reinforcement Learning-Based Real-Time Energy Management for an Integrated Electric–Thermal Energy System," Sustainability, MDPI, vol. 17(2), pages 1-17, January.
    18. Zhuan Zhou & Weifang Lin & Jiayu Bian & Xuan Ren, 2025. "Day-Ahead Optimal Scheduling of an Integrated Electricity-Heat-Gas-Cooling-Hydrogen Energy System Considering Stepped Carbon Trading," Energies, MDPI, vol. 18(9), pages 1-20, April.
    19. Armghan, Hammad & Xu, Yinliang & Bai, Xiang & Ali, Naghmash & Chang, Xinyue & Xue, Yixun, 2024. "A tri-level control framework for carbon-aware multi-energy microgrid cluster considering shared hydrogen energy storage," Applied Energy, Elsevier, vol. 373(C).
    20. Fan, Wei & Tan, Zhongfu & Li, Fanqi & Zhang, Amin & Ju, Liwei & Wang, Yuwei & De, Gejirifu, 2023. "A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response," Energy, Elsevier, vol. 263(PC).

    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:gam:jeners:v:17:y:2024:i:9:p:2119-:d:1385526. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.