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电气工程与自动化

Journal of Electrical Engineering and Automation

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Journal of Electrical Engineering and Automation. 2025; 4: (6) ; 10.12208/j.jeea.20250217 .

Research on an adaptive allocation method for carbon emission responsibility in power systems based on new energy penetration threshold
基于新能源渗透率阈值的电力系统碳排放责任自适应分摊方法研究

作者: 邹花蕾 *, 陈宇, 葛辉

南京邮电大学自动化学院 江苏南京

*通讯作者: 邹花蕾,单位:南京邮电大学自动化学院 江苏南京;

引用本文: 邹花蕾, 陈宇, 葛辉 基于新能源渗透率阈值的电力系统碳排放责任自适应分摊方法研究[J]. 电气工程与自动化, 2025; 4: (6) : 86-93.
Published: 2025/11/25 12:40:32

摘要

随着“双碳”目标的深入推进,电力系统正加速向高比例新能源接入转型。风、光等可再生能源的大规模并网显著降低了化石能源依赖,但新能源出力的波动性与随机性也给电力系统运行带来了新的挑战。在此背景下,碳排放责任的合理分摊成为实现低碳电力系统运行的关键问题。传统碳排放责任分配机制多采用固定分摊比例或单一模式,难以适应新能源渗透率的动态变化,导致责任分配偏差较大、新能源消纳效率受限、系统运行经济性不足等问题。为解决上述技术问题,本文提供了一种基于新能源渗透率阈值的电力系统碳排放责任自适应分摊方法,通过动态权重与渗透率自适应匹配,有效降低责任分配偏差,系统切换稳定,提升新能源利用率,减少系统运行成本,为高比例新能源电网的碳责任精准分摊提供技术支撑。

关键词: 新能源渗透率;碳排放责任;自适应分摊;多目标优化;电力系统

Abstract

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.

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

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