上海交通大学学报

上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (12): 1795-1804.doi: 10.16183/j.cnki.jsjtu.2024.262

• 新型电力系统与综合能源 • 上一篇    下一篇

基于动态碳熵的主动配电网低碳能量管理策略

邬东格1,2, 常馨月1,2(), 薛屹洵1,2, 黄昱熙1,2, 苏珈1,2, 李泽宁1,2, 孙宏斌1,2,3   

  1. 1 太原理工大学 电气与动力工程学院, 太原 030024
    2 太原理工大学 煤电清洁智能控制教育部重点实验室, 太原 030024
    3 清华大学 电机工程与应用电子技术系, 北京 100084
  • 收稿日期:2024-07-02 修回日期:2024-09-10 接受日期:2025-01-02 出版日期:2025-12-28 发布日期:2025-12-30
  • 通讯作者: 常馨月 E-mail:changxinyue@tyut.edu.cn
  • 作者简介:邬东格(2000—),硕士生,从事碳排放量化及电力系统优化调度研究.
  • 基金资助:
    山西省基础研究计划(202303021212059);国家自然科学基金(52407133)

Low-Carbon Energy Management in Active Distribution Networks Based on Dynamic Carbon Entropy

WU Dongge1,2, CHANG Xinyue1,2(), XUE Yixun1,2, HUANG Yuxi1,2, SU Jia1,2, LI Zening1,2, SUN Hongbin1,2,3   

  1. 1 College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
    2 Key Laboratory of Clean Intelligent Control of Coal Electricity of the Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
    3 Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
  • Received:2024-07-02 Revised:2024-09-10 Accepted:2025-01-02 Online:2025-12-28 Published:2025-12-30
  • Contact: CHANG Xinyue E-mail:changxinyue@tyut.edu.cn

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摘要：

在推进能源转型和“双碳”目标背景下,新型电力系统中的主动配电网通过提高新能源渗透率和发挥需求侧管理作用可以实现规模化节能减排.为此提出一种基于动态碳熵的主动配电网两阶段低碳能量管理策略,以碳价为价格信号,引导柔性负荷参与低碳需求响应.首先,对碳熵模型进行分析,建立考虑储能的碳熵模型,细化需求侧碳排放特征.其次,提出节点碳势评估指标,评估系统碳排放的清洁程度.再次,构建基于动态碳熵的主动配电网两阶段低碳优化调度模型,同时利用分时电价以及节点碳价的引导作用,促进新能源消纳,降低系统碳排放的同时有一定的削峰填谷作用.最后,在IEEE 33节点系统设置多个场景来验证所提低碳能量管理模型的有效性和优越性,算例结果表明该策略可以实现主动配电网低碳能量管理.

关键词: 主动配电网, 动态碳熵, 需求响应, 低碳能量管理

Abstract:

In the context of energy transition and “carbon peak and carbon neutrality” goal, active distribution networks in the new power system can achieve scalable energy conservation and emissions reduction by increasing the penetration of renewable energy and leveraging demand-side management. To this end, a two-stage low-carbon energy management strategy for active distribution networks based on dynamic carbon entropy theory is proposed, using carbon price as a price signal to guide flexible loads in participating in low-carbon demand response. First, the carbon entropy model is analyzed, and a carbon entropy model considering energy storage is established to refine the carbon emission characteristics on the demand side. Then, an evaluation index of node carbon potential is proposed to evaluate the cleanliness of carbon emission of the system. Next, a two-stage low-carbon optimization scheduling model is developed for active distribution networks based on the dynamic carbon entropy. By utilizing the time-of-use electricity prices and node carbon prices as guiding signals, the model promotes the renewable energy consumption, reduces system carbon emissions, and achieves a certain peak-shaving and valley-filling effect. Finally, multiple scenarios are set up in the IEEE 33-node system to validate the effectiveness and superiority of the proposed low-carbon energy management model. The results show that the proposed strategy can achieve low-carbon energy management in active distribution networks.

Key words: active distribution network, dynamic carbon entropy, demand response, low-carbon energy management

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