数据驱动的新能源电力系统暂态电压稳定关键影响节点筛选方法

WANG Yuhong; LIU Yongyue; GAO Shilin; LIAO Jianquan; WANG Xinyao; WANG Xueke

doi:10.13336/j.1003-6520.hve.20241383

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数据驱动的新能源电力系统暂态电压稳定关键影响节点筛选方法

更新时间：2026-02-25

- 数据驱动的新能源电力系统暂态电压稳定关键影响节点筛选方法
- Issue 11, Pages: 5340-5353(2025)
- 作者机构：
  
  四川大学电气工程学院,成都,610041
- 作者简介：
- 基金信息：
- DOI：10.13336/j.1003-6520.hve.20241383
  CLC：
- Published：2025
- 稿件说明：
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WANG Yuhong, LIU Yongyue, GAO Shilin, et al. 数据驱动的新能源电力系统暂态电压稳定关键影响节点筛选方法[J]. 2025, (11): 5340-5353.
DOI：

WANG Yuhong, LIU Yongyue, GAO Shilin, et al. 数据驱动的新能源电力系统暂态电压稳定关键影响节点筛选方法[J]. 2025, (11): 5340-5353. DOI： 10.13336/j.1003-6520.hve.20241383.

摘要

高比例新能源并网后，电网电压支撑减弱，电力系统的暂态电压稳定问题凸显。针对上述问题，提出了一种基于数据驱动的电力系统暂态电压稳定关键影响节点筛选方法。首先，对新能源电力系统的暂态电压稳定机理和暂态电压稳定性评估指标进行了分析；其次，采用任意混沌多项式对系统暂态电压稳定性及其影响因素之间的关联关系进行建模，并采用非侵入性概率配置方法计算多项式展开项系数；最后，引入Sobol指数定义系统暂态电压全局灵敏度，量化各个节点对系统暂态电压稳定性的影响程度。研究结果表明，所提方法可快速准确分析各个节点功率对系统暂态电压稳定性的影响程度，为暂态电压稳定紧急控制等提供依据。

Abstract

With the high penetration of renewable energy being integrated to the power grid

the weakening of voltage support has accentuated the challenges of transient voltage stability in power systems. To address the above issues

a data-driven analysis method for key influencing nodes of transient voltage stability in power systems is proposed. Firstly

the voltage stability mechanism of the power system and the transient voltage stability evaluation indicators are analyzed. Subsequently

the arbitrary polynomial chaos are used to model the correlation between the transient voltage stability of the system and the influencing factors

and the coefficients of the polynomial expansion terms are calculated using a non-intrusive probabilistic collocation method. Finally

the Sobol index is introduced to define the global sensitivity of transient voltage and quantify the influence of each parameter on the transient voltage stability of the system. The results show that the method proposed in this paper can be adopted to quickly and accurately analyze the influence of each parameter on the transient voltage stability of the power system.

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