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电力系统中数据-物理融合模型的并联模式性能分析
作者:
作者单位:

1.东南大学电气工程学院,江苏省南京市 210096;2.东南大学数学学院,江苏省南京市 210096

摘要:

随着交直流混联电网规模的扩大与电力电子化设备的大规模并网,以新能源为主体的新型电力系统的动态特性愈加复杂。物理模型的机理可解释性与数据模型的特性拟合能力具有很强的互补性。如何将融合模型的构建从定性分析向定量分析提升亟待深入研究。文中基于电力系统中数据方法与物理方法的特点,针对4种典型数据-物理融合模型分析了其相对应的应用场景;以并联模式为研究对象,分别对比分析了并联模式与单一物理模型和单一数据模型的泛化误差,并提出了融合模型参数的选取方法;推导了并联模式下融合模型的泛化误差上限,并提出了改进融合模型性能的可行性建议;最后,结合暂态功角稳定问题验证了所提假设与结论的合理性。

关键词:

基金项目:

国家自然科学基金资助项目(51877037);国家重点研发计划资助项目(2018YFB0904500)。

通信作者:

作者简介:

胡健雄(1996—),男,博士研究生,主要研究方向:电力系统稳定分析与控制。E-mail:220182640@seu.edu.cn
汤奕(1977—),男,通信作者,博士,教授,博士生导师,主要研究方向:电力系统稳定分析与控制、电网信息物理系统、电力电子化电力系统。E-mail:tangyi@seu.edu.cn
李峰(1992—),男,博士,讲师,主要研究方向:电力系统稳定分析与控制。E-mail:lifeng_ee@seu.edu.cn


Performance Analysis on Parallel Mode of Data-Physical Fusion Model in Power System
Author:
Affiliation:

1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.School of Mathematica, Southeast University, Nanjing 210096, China

Abstract:

With the expansion of AC/DC hybrid power system and the large-scale grid-connection of power electronic equipment, the dynamic characteristics of novel power system dominated by renewable energy become more and more complex. The mechanism interpretability of the physical model is highly complementary to the characteristic fitting ability of the data model. How to leverage the construction of fusion model from qualitative analysis to quantitative analysis needs in-depth research. Based on the characteristics of data methods and physical methods in the power system, the corresponding application scenarios of four typical data-physical fusion models are analyzed. Taking parallel mode as the research object, the generalization errors of parallel mode, physical only model and data only model are compared and analyzed respectively, and the selection method of fusion model parameters is proposed. The generalization error upper bound of the fusion model in parallel mode is derived, and the feasible suggestions to improve the performance of the fusion model are put forward. Finally, combined with the transient power angle stability problem, the rationality of the proposed assumptions and conclusions is verified.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51877037) and National Key R&D Program of China (No. 2018YFB0904500).
引用本文
[1]胡健雄,汤奕,李峰,等.电力系统中数据-物理融合模型的并联模式性能分析[J].电力系统自动化,2022,46(1):15-24. DOI:10.7500/AEPS20210510003.
HU Jianxiong, TANG Yi, LI Feng, et al. Performance Analysis on Parallel Mode of Data-Physical Fusion Model in Power System[J]. Automation of Electric Power Systems, 2022, 46(1):15-24. DOI:10.7500/AEPS20210510003.
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  • 收稿日期:2021-05-10
  • 最后修改日期:2021-09-10
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  • 在线发布日期: 2022-01-05
  • 出版日期: