PROBABILITY ANALYSIS AND APPLICATION OF STATIC VOLTAGE STABILITY REGION BASED ON UNSCENTED TRANSFORMATION

Qi Yue; Liu Daobing

doi:10.19912/j.0254-0096.tynxb.2023-1824

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PROBABILITY ANALYSIS AND APPLICATION OF STATIC VOLTAGE STABILITY REGION BASED ON UNSCENTED TRANSFORMATION

更新时间：2025-10-18

- PROBABILITY ANALYSIS AND APPLICATION OF STATIC VOLTAGE STABILITY REGION BASED ON UNSCENTED TRANSFORMATION
- Vol. 46, Issue 3, Pages: 151-159(2025)
- 作者机构：
  
  1. 三峡大学电气与新能源学院,宜昌 443002
  2. 湖北能源集团鄂州发电有限公司,鄂州 436000
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1824
  CLC： TM712
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
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齐越, 刘道兵. 基于无迹变换法的静态电压稳定域概率分析及应用[J]. 太阳能学报, 2025, 46(3): 151-159.

Qi Yue, Liu Daobing. PROBABILITY ANALYSIS AND APPLICATION OF STATIC VOLTAGE STABILITY REGION BASED ON UNSCENTED TRANSFORMATION[J]. 2025, 46(3): 151-159.
齐越, 刘道兵. 基于无迹变换法的静态电压稳定域概率分析及应用[J]. 太阳能学报, 2025, 46(3): 151-159. DOI： 10.19912/j.0254-0096.tynxb.2023-1824.

Qi Yue, Liu Daobing. PROBABILITY ANALYSIS AND APPLICATION OF STATIC VOLTAGE STABILITY REGION BASED ON UNSCENTED TRANSFORMATION[J]. 2025, 46(3): 151-159. DOI： 10.19912/j.0254-0096.tynxb.2023-1824.

摘要

为反映可再生能源不确定性对静态电压稳定性的影响

提出一种基于无迹变换法的静态电压稳定域（SVSR）概率分析方法。首先

根据光伏和风力发电的概率模型构建SVSR概率模型;然后

采用基于对称采样策略的无迹变换法将概率问题转换为确定性问题

得到有限个采样点

进一步计算出SVSR的期望和标准差指标并构建其概率边界;再通过概率指标分析系统静态电压稳定性的概率特征

并基于概率指标建立多目标优化模型提升系统静态电压稳定性。最后通过IEEE 30节点系统进行算例分析

验证所提方法的高效性和准确性。

Abstract

In order to reflect the impact of renewable energy uncertainty on static voltage stability

a probabilistic analysis method of SVSR based on the unscented transformation method （UTM） is proposed. Firstly

the probability model of SVSR is established by considering the stochasticity of renewable energy generation; then

the stochastic problem is converted into a deterministic problem by the UTM

the probabilistic characteristic of the SVSR are quickly calculated

and the probabilistic characteristics of the system's static voltage stability are analyzed by the probabilistic indexes

and the system's static voltage stability is optimized based on the probabilistic indexes. Finally

an arithmetic example is analyzed by IEEE 30 bus test system to verify the efficiency and accuracy of the method proposed in this paper.

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references

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