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

Kun Li, Yulong Ying (), Xiangyu Yu and Jingchao Li
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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

Energies, 2024, vol. 17, issue 9, 1-30

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.

Keywords: integrated energy systems; electricity–carbon joint scheduling; carbon quotas sharing (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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