电力系统频率稳定性评估的分析方法

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-05 DOI:10.1049/gtd2.13239
Zhenyao Li, Jing Li, Deqiang Gan
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引用次数: 0

摘要

近年来,可再生能源的渗透率很高,大大降低了大容量电力系统的惯性。因此,电力系统的频率行为变得越来越复杂。为解决这一技术难题,人们对开发频率动态研究的分析解决方案尤其感兴趣。本研究首先描述了可再生能源电力系统的二阶频率动态模型。建议采用非线性扰动方法来驱动模型的解析解。研究表明,在许多情况下,使用线性模型可以有效地近似频率动态。随后,文章介绍了一种考虑到调速器-涡轮机的四阶线性频率动力学模型。文章提出了一种多项式特征值方法,用于确定四阶模型解的主导模式和非主导模式。结果表明,主导模式对频率行为有决定性影响,而非主导模式仅影响相对频率振荡。最后,研究得出了标准频率性能指标的分析表达式,并考察了阻尼和惯性参数的影响。引入的结果通过两个测试系统进行了验证,证明了所建议方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An analytical approach for power system frequency stability evaluation

Recent years have seen high penetration of renewable energies, which have significantly reduced the inertia of bulk power systems. As a result, the frequency behaviour of power systems is becoming more complex. To resolve this technical challenge, there is a particularly strong interest in developing analytical solutions for frequency dynamics studies. This study first describes a second-order frequency dynamics model for power systems with renewable energies. A non-linear perturbation approach is suggested to drive the analytical solution of the model. It is shown that, under many circumstances, frequency dynamics can be effectively approximated using a linear model. Subsequently, the article describes a fourth-order linear frequency dynamics model that takes into account governor-turbines. A polynomial eigenvalue method is proposed to identify the dominant and non-dominant modes of the solution of the four-order model. It is demonstrated that the dominant mode has a decisive impact on frequency behaviour, while the non-dominant modes influence the relative frequency oscillations only. Finally, the study derives the analytical expressions of the standard frequency performance metrics and examines the impact of damping and inertia parameters. The introduced results are verified using two test systems, demonstrating the accuracy and effectiveness of the suggested method.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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