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。
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.
作者
齐越
刘道兵
Qi Yue;Liu Daobing(College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China;Hubei Energy Group Ezhou Power Generation Co.,Ltd.,Ezhou 436000,China)
出处
《太阳能学报》
北大核心
2025年第3期151-159,共9页
Acta Energiae Solaris Sinica
基金
三峡大学科技项目多源参与电网调峰机理研究(HZ2023072)。
关键词
电力系统
可再生能源
不确定性分析
静态电压稳定域
无迹变换法
多目标优化
electric power systems
renewable energy
uncertainty analysis
static voltage stability region
unscented transformation
multiobjective optimization
