| 引用本文: | 肖 勇,陆煜锌,尹雁和,等.考虑动态碳势和需求响应的配电网低碳调度策略[J].电力系统保护与控制,2025,53(21):40-49.[点击复制] |
| XIAO Yong,LU Yuxin,YIN Yanhe,et al.Low-carbon scheduling strategy for distribution networks considering dynamic carbon potential and demand response[J].Power System Protection and Control,2025,53(21):40-49[点击复制] |
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| 摘要: |
| 如何有效挖掘需求侧资源的低碳响应潜力，配合中低压配电网调度以降低系统运行碳排放，是我国“双碳”目标推进下面临的一个重要问题。为此，提出一种考虑动态碳势和需求响应的新型配电网低碳调度方法。首先，考虑上级电网动态碳势和配电网网损对碳排放流的影响，分别建立用户侧用电碳排放和配电网网损碳排放的核算模型。其次，建立基于动态碳势的激励型需求响应模型，根据不同时刻的碳势调节低碳激励价格，以引导用户调节柔性负荷，降低电力碳排放。然后，建立兼顾运行安全性和经济性的配电网低碳调度模型，通过配电网动态碳势来引导需求响应，以较小的调用成本达到系统低碳安全运行的效果。最后，以改进的 IEEE33 节点配电系统为例，采用所提模型和方法后，算例中系统的网损、日负荷峰谷差和电力碳排放分别下降了7.3%、11.7%和3.5%。 |
| 关键词: 动态碳势 需求响应 低碳调度 新型配电网 碳流理论 |
| DOI：10.19783/j.cnki.pspc.241765 |
| 投稿时间：2024-12-30修订日期：2025-06-24 |
| 基金项目:国家自然科学基金项目资助(52177085)；南方电网科学研究院基金项目资助(032000KK52222010) |
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| Low-carbon scheduling strategy for distribution networks considering dynamic carbon potential and demand response |
| XIAO Yong1,LU Yuxin1,YIN Yanhe2,ZENG Guojun3,ZHAO Yun1,RUAN Zhijie2,ZHANG Yongjun3 |
| (1. Electrical Power Research Institute, CSG, Guangzhou 510663, China; 2. Zhongshan Power Supply Bureau, Guangdong
Power Grid Co., Ltd., Zhongshan 528400, China; 3. Research Center of Smart Energy Technology, School of
Electric Power Engineering, South China University of Technology, Guangzhou 510640, China) |
| Abstract: |
| Effectively utilizing the low-carbon potential of demand-side resources to coordinate with medium- and low-voltage distribution network scheduling, thereby reducing system carbon emissions, is crucial for China’s “dual carbon” strategy. To address this issue, a new low-carbon scheduling method for distribution networks is proposed, considering dynamic carbon potential and demand response. First, the influence of the superior grid’s dynamic carbon potential and distribution network losses on carbon emission flow is analyzed, and accounting models for user-side electricity consumption emissions and network loss emissions are established. Second, an incentive-based demand response model based on dynamic carbon potential is developed. By adjusting low-carbon incentive prices according to time-varying carbon potential, users are guided to regulate flexible loads to reduce electricity-related carbon emissions. Then, a low-carbon scheduling model for distribution networks is created. It balances operational safety and economy, while the distribution network’s dynamic carbon potential guides the demand response to achieve low-carbon and safe system operation at minimal activation cost. Finally, case studies on a modified IEEE 33-node system demonstrate the effectiveness of the proposed model and method, reducing network losses by 7.3%, daily peak-valley load difference by 11.7%, and carbon emissions by 3.5%. |
| Key words: dynamic carbon potential demand response low-carbon scheduling new distribution network carbon emission flow theory |
