Journal of Electrical Engineering and Automation

With the deepening advancement of the "dual carbon" goals, the power system is accelerating its transition toward high penetration of renewable energy. The large-scale integration of renewable energy sources such as wind and solar has significantly reduced reliance on fossil fuels. However, the variability and uncertainty of renewable energy output also pose new challenges to power system operation. Therefore, the reasonable allocation of carbon emission responsibilities has become a key issue in achieving low-carbon power system operation. Traditional carbon emission responsibility allocation mechanisms often rely on fixed allocation ratios or single-mode approaches, which struggle to adapt to the dynamic changes in renewable energy penetration. This leads to significant deviations in responsibility allocation, limited renewable energy integration efficiency, and insufficient economic performance in system operation. To address these technical challenges, this paper proposes an adaptive carbon emission responsibility allocation method for power systems based on renewable energy penetration thresholds. By dynamically matching weights with penetration levels, the method effectively reduces allocation deviations, ensures stable system switching, improves renewable energy utilization, reduces operational costs, and provides technical support for accurate carbon responsibility allocation in power grids with high renewable energy penetration.

Renewable energy penetration rate; Carbon emission responsibility; Adaptive apportionment; Multi-objective optimization; Power system