Huiyuan Yang, Aihong Tang, Kanjun Zhang, 等. Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):437-447.
Huiyuan Yang, Aihong Tang, Kanjun Zhang, et al. Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 437-447.
Huiyuan Yang, Aihong Tang, Kanjun Zhang, 等. Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors[J]. 中国电机工程学会电力与能源系统学报(英文), 2026,12(1):437-447. DOI: 10.17775/CSEEJPES.2023.03280.
Huiyuan Yang, Aihong Tang, Kanjun Zhang, et al. Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 437-447. DOI: 10.17775/CSEEJPES.2023.03280.
Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors
it is imperative to incorporate carbon emissions-related factors into research of power grid risk assessment to meet the green transformation needs of the power grid. Therefore
this paper conducts a study on the risk assessment of carbon emissions changes in regional power grids based on dynamic carbon emission factors
aiming to quantitatively analyze the impact of random disturbances such as equipment failures or fluctuations in renewable energy generation on the carbon emission intensity of regional power grids. First
carbon emission change risk indicators are constructed from three dimensions: the probability
frequency
and magnitude of carbon emission changes. Second
a dynamic carbon emission factor calculation model is proposed to reflect the spatiotemporal change of carbon emissions in the regional power grid
considering output of different types of generators and the components of inter-area power transmission. Finally
with the premise of ensuring safe and stable operation of power grid
a quantitative assessment model for carbon emission change risks is proposed under the objective of minimizing the electricity loss. The sampling convergence conditions of the model are also derived. The results from the MRTS79 case study demonstrate the proposed method can effectively quantify and analyze the risk of carbon emissions changes in regional power grids
validating the effectiveness of the proposed model.
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references
27. “Interim measures for the administration of carbon emission trading,” Gazette of the State Council of the People's Republic of China , No. 775, 2024. [Online ] . https://w ww.gov.cn/zhengce/zhengceku/202402/content6930138.htm