系统仿真学报 ›› 2025, Vol. 37 ›› Issue (10): 2485-2499.doi: 10.16182/j.issn1004731x.joss.25-0521

• 新型电力系统和综合能源系统仿真技术 • 上一篇    

考虑源荷不确定性和线性碳交易的综合能源系统优化调度

钟华平1, 范钰波2, 税纪钧3, 王丹豪1, 彭道刚1   

  1. 1.上海电力大学 自动化工程学院,上海 200090
    2.国网上海市电力公司电力科学研究院,上海 200437
    3.香港理工大学 电机及电子工程学系,香港 999077
  • 收稿日期:2025-06-06 修回日期:2025-08-16 出版日期:2025-10-20 发布日期:2025-10-21
  • 通讯作者: 彭道刚
  • 第一作者简介:钟华平(2001-),男,硕士生,研究方向为虚拟电厂、综合智慧能源等。
  • 基金资助:
    国家自然科学基金(62373241);国网上海市电力公司科技项目(52094024000J)

Optimal Scheduling of Integrated Energy Systems Considering Source-load Uncertainty and Linear Carbon Trading

Zhong Huaping1, Fan Yubo2, Shui Jijun3, Wang Danhao1, Peng Daogang1   

  1. 1.College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2.State Grid Shanghai Electric Power Company Electric Power Research Institute, Shanghai 200437, China
    3.Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
  • Received:2025-06-06 Revised:2025-08-16 Online:2025-10-20 Published:2025-10-21
  • Contact: Peng Daogang

摘要:

为克服源荷不确定性给综合能源系统调度带来的影响,以及体现碳交易价格随交易量变化的灵活性,提出一种考虑源荷不确定性和线性碳交易的综合能源系统优化调度方法。对综合能源系统内设备进行建模,采用非参数核密度估计法获取各时段的概率密度函数,通过蒙特卡罗模拟生成场景集,并计算各场景的概率;针对风光出力峰值和波动的时间偏移,选择采用动态时间规整(DTW)距离+K-medoids聚类的场景削减方法对场景集进行处理得到典型场景和概率;设计了一种由阶梯式碳交易机制变形而来的线性碳交易机制,并建立综合能源系统优化调度模型。仿真结果表明:所提方法可以有效促进综合能源系统低碳运行。

关键词: 综合能源系统, 源荷不确定性, 碳交易机制, 非参数核密度估计法, 动态时间规整距离

Abstract:

In order to overcome the impact of source-load uncertainty on the scheduling of integrated energy systems (IES) and reflect the flexibility of the carbon trading price with the change in trading volume, an optimal scheduling method for integrated energy systems considering source-load uncertainty and linear carbon trading was proposed. The equipment within the IES was modeled, and nonparametric kernel density estimation was used to obtain the probability density function for each time period, generating the set of scenes through Monte Carlo simulation and calculating the probability of each scene. For the time shift of wind and solar output peaks and fluctuations, the scene set was processed using a scene reduction method that integrated the dynamic time warping (DTW) distance and K-medoids clustering to obtain the typical scenes and probabilities.Alinear carbon trading mechanism was designed, which was derived from the ladder carbon trading mechanism, and an IES optimization scheduling model was established. The simulation results show that the proposed method can effectively promote the low-carbon operation of the IES.

Key words: integrated energy system, source-load uncertainty, carbon trading mechanism, nonparametric kernel density estimation method, dynamic time warping distance

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