MULTI-PARK COMPREHENSIVE ENERGY OPTIMIZATION METHOD BASED ON NODAL CARBON POTENTIAL AND DUAL GAME

Tuo Xianfeng; Chen Qian; Xu Yang; Wang Sijin

doi:10.19912/j.0254-0096.tynxb.2025-0638

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 509-523. DOI: 10.19912/j.0254-0096.tynxb.2025-0638

MULTI-PARK COMPREHENSIVE ENERGY OPTIMIZATION METHOD BASED ON NODAL CARBON POTENTIAL AND DUAL GAME

Tuo Xianfeng¹, Chen Qian¹, Xu Yang², Wang Sijin¹

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Abstract

To address the problems of unclear carbon responsibility allocation and insufficient carbon reduction motivation among multiple parks under the carbon trading and green certificate mechanisms, this paper proposes a multi-park comprehensive energy optimization method based on nodal carbon potential and dual game. Firstly, the carbon potential model whose node is the energy sub network of a park is established, then the carbon responsibility allocation method based on the model above is proposed. Secondly, a Stackelberg game model between integrated energy suppliers and load aggregators in the park is established, and a Nash game model is used to address the cooperative game between multiple parks, thereby forming a dual game mechanism. Thirdly, the model is transformed by combining interval possibility transformation and KKT conditions, and an accelerated ADMM algorithm is proposed for solving. Finally, the correctness and effectiveness of the proposed model and improved algorithm are verified through comparison of numerical examples, that carbon responsibilities can be located effectively, with carbon emissions of multiple parks reduced and benefits overall improved.

Key words

game theory / low-carbon economy / energy internet / nodal carbon potential / alternating direction method of multipliers（ADMM） / carbon trading

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Tuo Xianfeng, Chen Qian, Xu Yang, Wang Sijin. MULTI-PARK COMPREHENSIVE ENERGY OPTIMIZATION METHOD BASED ON NODAL CARBON POTENTIAL AND DUAL GAME[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 509-523 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0638

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