Optimal Scheduling of Networked Microgrids Considering the Temporal Equilibrium Allocation of Annual Carbon Emission Allowance

Chengling Hu, Hao Bai, Wei Li, Kaigui Xie, Yipeng Liu, Tong Liu and Changzheng Shao ()
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Chengling Hu: State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China
Hao Bai: CSG Electric Power Research Institute, Guangzhou 510663, China
Wei Li: CSG Electric Power Research Institute, Guangzhou 510663, China
Kaigui Xie: State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China
Yipeng Liu: CSG Electric Power Research Institute, Guangzhou 510663, China
Tong Liu: CSG Electric Power Research Institute, Guangzhou 510663, China
Changzheng Shao: State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China

Sustainability, 2024, vol. 16, issue 24, 1-20

Abstract: The optimal scheduling of networked microgrids considering the coupled trading of energy and carbon emission allowance (CEA) has been extensively studied. Notably, the scheduling is performed on a daily basis, whereas the CEA is usually checked and determined once a year. The temporal mismatch between the daily scheduling and the yearly CEA should be addressed to realize the dynamic valuation of CEA. In this paper, the optimal scheduling of networked microgrids considering the temporal equilibrium allocation of annual CEA is investigated. Firstly, a CEA decomposition model is developed, which allocates allowance to individual microgrids and further decomposes them temporally using the entropy method. Secondly, a Lyapunov optimization-based low-carbon scheduling model is introduced to manage carbon emissions within each dispatch interval, ensuring annual CEA compliance and daily economic efficiency. Thirdly, a Stackelberg game-based energy–carbon coupling trading model is presented, which considers the uncertainties caused by fluctuations in external electricity and carbon prices to optimize trading prices and strategies of the microgrids. Finally, a test system is used to demonstrate the significant effects of emission reduction and the economic benefits of the proposed methods.

Keywords: networked microgrids; carbon trading; optimal scheduling; Stackelberg game; Lyapunov optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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