Page 18 - 《中国电力》2026年第3期

第 59 卷 第 3 期 Vol. 59, No. 3
2026 年 3 月 ELECTRIC POWER Mar. 2026

引用格式：王泽森, 王宣元, 孔帅皓, 等. 计及多时间尺度碳排放因子的虚拟电厂-配电网协同调度[J]. 中国电力, 2026, 59(3): 14−26.
Citation: WANG Zesen, WANG Xuanyuan, KONG Shuaihao, et al. Coordinated dispatch of virtual power plant and distribution network
considering multi-time scale carbon emission factors[J]. Electric Power, 2026, 59(3): 14−26.

计及多时间尺度碳排放因子的虚拟电厂-

配电网协同调度

王泽森，王宣元，孔帅皓，孙舶皓，季震，孙巍

(国网冀北电力有限公司，北京 100054)

Coordinated dispatch of virtual power plant and distribution network

considering multi-time scale carbon emission factors
WANG Zesen, WANG Xuanyuan, KONG Shuaihao, SUN Bohao, JI Zhen, SUN Wei

(State Grid Jibei Electric Power Co., Ltd., Beijing 100054, China)

Abstract: With the advancement of dual-carbon goals, the low- economic efficiency, providing strong support for low-carbon
carbon operation of power systems has become a research dispatch of the power system.
focus. However, the coordinated dispatch between virtual This work is supported by Science and Technology Project of
power plants (VPPs) and distribution networks (DNs) faces State Grid Jibei Electric Power Co., Ltd. (No.52018K25000T).
challenges due to insufficient multi-time scale carbon emission Keywords: multi-time scale carbon emission factors; virtual
quantification. To address this issue, this paper proposes a power plant; coordinated dispatch; renewable energy
coordinated dispatch model for VPPs and DNs that incorporates accommodation; analytical target cascading
multi-time scale carbon emission factors. First, the phenomenon
摘 要：随着双碳目标的推进，电力系统的低碳化运行
of renewable energy curtailment is integrated into the carbon
成为研究热点，虚拟电厂与配电网的协同调度面临多时
emission factor calculation, and a multi-time scale correction
间尺度碳排放量化不足的挑战。为此，提出一种计及多
mechanism is introduced to enhance the spatiotemporal
时间尺度碳排放因子的虚拟电厂-配电网协同调度模型。
accuracy of the carbon emission factors. Second, a coarse-fine
首 先 ， 将 新 能 源 弃 风 弃 光 现 象 考 虑 到 碳 排 放 因 子 计 算
tuning multi-time scale coordinated dispatch framework is
中，并通过多时间尺度修正机制提升碳排放因子的时空
established: the day-ahead scheduling prioritizes economic
精度。其次，构建粗调-细调的多时间尺度协同调度框架：
efficiency and security, while the intraday scheduling adjusts
日前调度以经济性和安全性为目标，日内调度基于实时
carbon emission factors and optimizes operational strategies
数据修正碳排放因子并优化运行策略。最后，采用目标
based on real-time data. Finally, the model is solved using the 级联分析法求解模型。算例分析表明，改进的碳排放因
analytical target cascading method. Case study shows that the 子能有效区分零碳时段的风光消纳差异，相比传统碳排
improved carbon emission factor can effectively differentiate 放因子计算方法使配电网碳排放量减少 4.7t，碳排放成本
the accommodation differences of wind and solar power during 下降 17.5%。多时间尺度协同机制显著提升了新能源消纳
zero-carbon periods. Compared with traditional carbon 能力与经济性，为电力系统低碳调度提供了有力支持。
emission factor calculation methods, it reduces the DNs' carbon 关 键 词 ： 多 时 间 尺 度 碳 排 放 因 子 ； 虚 拟 电 厂 ； 协 同 调
emissions by 4.7 tons and cuts carbon emission costs by 17.5%. 度；新能源消纳；目标级联分析
The multi-time scale coordination mechanism significantly DOI：10.11930/j.issn.1004-9649.202508039

enhances the renewable energy accommodation capacity and
0 引言
收稿日期：2025−08−20； 修回日期：2025−10−20。
基金项目：国网冀北电力有限公司科技项目（52018K25000T）。 随着全球能源结构的转型和中国“双碳”目

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