储能科学与技术 ›› 2025, Vol. 14 ›› Issue (5): 2117-2129.doi: 10.19799/j.cnki.2095-4239.2024.1090

• 储能测试与评价 • 上一篇    下一篇

考虑边际替代效应的火-储联合系统调频备用配置方法

魏江哲1(), 舒茂龙1, 陈彦桥2, 赵璐璐2, 苏新凯2, 刘牧阳3()   

  1. 1.国能宁东新能源有限公司,宁夏 银川 751400
    2.国家能源集团新能源技术研究院有限公司,北京 102211
    3.新疆大学电气工程学院,新疆 乌鲁木齐 830047
  • 收稿日期:2024-11-25 修回日期:2024-12-17 出版日期:2025-05-28 发布日期:2025-05-21
  • 通讯作者: 刘牧阳 E-mail:12016550@ceic.com;muyang.liu@xju.edu.cn
  • 作者简介:魏江哲(1985—),男,工程师,本科,研究方向为新能源(风电、光伏)发电及储能技术研究及应用,E-mail:12016550@ceic.com
  • 基金资助:
    国家能源集团科技项目(GJNY-23-119);国家重点研发计划(2021YFB1507005)

Frequency regulation reserve allocation method for integrated thermal and energy storage systems considering the marginal substitution

Jiangzhe WEI1(), Maolong SHU1, Yanqiao CHEN2, Lulu ZHAO2, Xinkai SU2, Muyang LIU3()   

  1. 1.CHN Energy Ningdong New Energy Co. , Ltd. , Yinchuan 751400, Ningxia, China
    2.CHN ENERGY New Energy Technology Research Institute Co. , Ltd. , Beijing 102211, China
    3.School of Electrical Engineering, Xinjiang University, Urumqi 830047, Xinjiang, China
  • Received:2024-11-25 Revised:2024-12-17 Online:2025-05-28 Published:2025-05-21
  • Contact: Muyang LIU E-mail:12016550@ceic.com;muyang.liu@xju.edu.cn

摘要:

储能-火电联合承担电力系统调频任务正逐步成为现代电力系统的常规运行控制模式。优化火电与储能调频资源的协同运行方式对现代电力系统的安全、经济运行具有重要意义,基于此提出了一种基于边际替代率分析的火电机组与储能调频备用容量配置方法。首先,建立了火电与储能协同承担调频任务的电力系统的频率响应模型。在此基础上,以区域控制偏差的均方根误差作为调频效果的评价指标,基于火电与储能调频备用的边际替代率分析,提出了一种火-储调频容量配置方法。该方法采用基于高斯过程的回归算法以降低配置计算复杂度,并利用多段拟合的方法生成火-储调频效果边际替代曲线,进而考虑常规机组与储能调频备用的不同价格,以最优成本为目标对不同类型的调频备用进行配置。通过基于真实系统实际日负荷波动的算例分析,验证了该方法的有效性。

关键词: 调频控制, 优化运行, 边际替代, 自动发电控制

Abstract:

Energy storage systems and thermal power plants working together to handle frequency regulation in power systems are increasingly becoming standard practice in modern grid operations. Optimizing the coordinated use of thermal power and energy storage resources for frequency regulation is crucial for ensuring the safe and cost-effective operation of modern power systems. This paper proposes a method for allocating frequency regulation reserve capacities between thermal power plants and energy storage systems using marginal rate of substitution (MRS) analysis. First, a frequency response model is established a power system where thermal power and energy storage collaboratively perform frequency regulation. Using the root mean square error of the area control error (ACE) as an evaluation index for frequency regulation, an allocation method is developed based on MRS analysis. This method evaluates the frequency regulation reserves of thermal power and energy storage, leveraging the Gaussian process regression algorithm to reduce computational complexity during configuration. A multisegment fitting approach is used to generate the marginal substitution curve, capturing the effectiveness of thermal-storage frequency regulation. Furthermore, the method considers the different prices of frequency regulation reserves for thermal power and energy storage. It optimizes the allocation of these reserve capacities with the objective of minimizing overall costs. The proposed method is validated through a real-world case study examining daily load fluctuations.

Key words: frequency control, optimal operation, marginal substitution, automatic generation control (AGC)

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