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Multi-MG Electricity-Carbon Joint Optimization Method Considering Robust Market Clearing
  • +1
  • Xin Yang,
  • Xuli Wang,
  • Fan Zhou,
  • Lei Wang
Xin Yang
State Grid Anhui Electric Power Co., Ltd., Economic and Technical Research Institute
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Xuli Wang
State Grid Anhui Electric Power Co., Ltd., Economic and Technical Research Institute
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Fan Zhou
State Grid Anhui Electric Power Co., Ltd., Economic and Technical Research Institute
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Lei Wang
Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving (Hefei University of Technology)

Corresponding Author:wanglei818818@sina.cn

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Abstract

In light of the inherent unpredictability of wind power and other clean energy sources within each MG, a multi MG s electricity-carbon joint optimization operation method that considers robust market clearing is proposed. This method ensures the economic viability of the multi- MG s alliance while adhering to the principles of low-carbon operations and security. The constructed model comprises two layers. The upper layer establishes a robust clearing model of the upper-level electricity-carbon joint market with optimal accruals and benefits based on the marginal pricing theory. The lower layer considers the coupling of electricity-carbon joint trading, establishes a multi- MG s low-carbon joint optimization model based on the Nash negotiation theory, and proposes an electricity-carbon revenue allocation method based on the contribution degree of the interaction products to realize the reasonable allocation of the revenue of each MG. In conclusion, the accelerated-adaptive alternating direction multiplier method (AA-ADMM) is put forth as a means of solving the model. The results of the illustrative example serve to corroborate the efficacy of the methodology proposed in this paper.
07 Jul 2025Submitted to IET Generation, Transmission & Distribution
14 Jul 2025Submission Checks Completed
14 Jul 2025Assigned to Editor
14 Jul 2025Review(s) Completed, Editorial Evaluation Pending
06 Aug 2025Reviewer(s) Assigned
01 Sep 2025Editorial Decision: Revise Major
19 Oct 20251st Revision Received
22 Oct 2025Submission Checks Completed
22 Oct 2025Assigned to Editor
22 Oct 2025Review(s) Completed, Editorial Evaluation Pending
22 Oct 2025Reviewer(s) Assigned
27 Oct 2025Editorial Decision: Accept