Energy Flow and Carbon Emission Flow Analysis for the Integrated Energy Station

Li, Yan; Wang, Decheng; Zhang, Qun; Pan, Xin; Xu, Yi; Sun, Xiaorong

doi:10.1109/cieec54735.2022.9845844

Cited by 1 publication

(1 citation statement)

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“…Reference [18] proposed a customer-side carbon emission measurement model based on carbon emission flow theory, discussing the calculation of fine-grained carbon emissions on the distribution network side, including photovoltaic and energy storage, to depict the correlation between the carbon emissions of power generation units and the carbon flow rate of each load on the user side. Reference [19] used the energy-carbon flow method to study carbon emissions. An energy-carbon flow model for a comprehensive energy station is established, which promoted to analyze the sources of carbon flow in typical scenarios and calculate the carbon emissions throughout the day.…”

Section: Introductionmentioning

confidence: 99%

Carbon Market Trading Mechanisms Considering Multi-Layer Reactive Power Compensation

An,

Jin,

Zhou

et al. 2023

WEVJ

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In the context of achieving carbon peaking and carbon neutrality goals, focusing on coordinated efficiency in loss and carbon reduction, and promoting comprehensive green transformation of economic and social development are critical strategies. Line loss is an economic and technical indicator for measuring losses in a power system, and loss reduction is one of the important ways to achieve the carbon peaking and carbon neutrality goals in the power system. However, with the continuous increase in the power grid scale and the increasingly complex operation mode of the system, it is difficult to clearly quantify the carbon reduction benefits brought by system loss reduction. In order to synergize grid loss reduction and system carbon reduction, and generate economic and environmental benefits at the same time, this paper proposes a carbon market trading model that considers multi-layer reactive power compensation strategies. Based on the carbon emission flow model, a node carbon cost pricing is formed, and multi-layer reactive power compensation measures are set in the distribution network nodes to obtain an optimal loss reduction strategy, with the carbon market trading cost minimization as the objective. The effectiveness of the model is verified by simulating and analyzing four scenarios. Compared with the original system that does not consider carbon trading and reactive compensation, the model proposed in this paper can reduce losses by 20% and reduce carbon emissions by 5.7%. This paper is of great value for reactive power loss reduction management in distribution networks of a low-carbon background.

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Section: Introductionmentioning

confidence: 99%