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

Author

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  • 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
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    References listed on IDEAS

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