Regional Power Grid Carbon Emission Change Risk Assessment Based on Dynamic Carbon Emission Factors

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Authors: Huiyuan Yang, Aihong Tang, Kanjun Zhang Kanjun Zhang, T. L. Wang, Hubing Zhou, Xinran Li, Hengxuan Li, Wen-Hao Wang, Jiao Peng
Cited by: 2

Abstract

Under the “dual carbon” goals, 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.

Fields of Study & Subjects

Integrated Energy Systems Optimization Power System Reliability and Maintenance Environmental Impact and Sustainability

Publication details

Journal / source
CSEE Journal of Power and Energy Systems
Publisher
Power System Technology Press
Publication date
1 January 2026