SOURCE-LOAD-STORAGE COINTEGRATION OPTIMIZATION MODEL CONSIDERING CARBON TRADING MECHANISM

Wang Limeng; Liu Yongning; Xu Chengzhe

doi:10.19912/j.0254-0096.tynxb.2021-1613

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 106-112. DOI: 10.19912/j.0254-0096.tynxb.2021-1613

SOURCE-LOAD-STORAGE COINTEGRATION OPTIMIZATION MODEL CONSIDERING CARBON TRADING MECHANISM

Wang Limeng¹, Liu Yongning¹, Xu Chengzhe²

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Abstract

In order to increase the utilization rate of new energy and reduce carbon emissions, this paper proposes a source-load-storage cointegration optimization method considering the carbon trading mechanism. The method first establishes the stepped carbon trading cost model, analyzes the principle of carbon trading mechanism to improve new energy consumption. In the optimization stage, the source-load-storage timing correlation constraint is established to establish a source-load-storage optimization cointegration model with the minimum operating cost of the system. Finally, the simulation case analysis shows that the source-load-storage cointegration optimization of carbon trading mechanism can obtain the stable output of conventional units, the highest new energy utilization rate and the lowest system operation cost, and verifies the effectiveness of the proposed optimization method.

Key words

renewable energy resources / renewable energy consumption / carbon trading / source-load-storage cointegration / cointegration relationship

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Wang Limeng, Liu Yongning, Xu Chengzhe. SOURCE-LOAD-STORAGE COINTEGRATION OPTIMIZATION MODEL CONSIDERING CARBON TRADING MECHANISM[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 106-112 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1613

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