电网技术2024，Vol.48Issue(4)：1532-1542,中插42-中插44,14.DOI:10.13335/j.1000-3673.pst.2023.0111
电力系统暂态电压稳定评估的混合智能特征双重筛选方法
Hybrid Intelligent Dual Feature Screening Method for Transient Voltage Stability Assessment of Power System
摘要
Abstract
The transient voltage stability characteristics of power systems with high proportion of new energy and DC access seem highly-dimensional nonlinear,which affects the efficiency and performance of the data-driven evaluation model.Therefore,on the premise of constructing a set of complete features suitable for scenes with high proportion of new energy and DC access,a hybrid intelligent feature selection method based on the improved Relief algorithm and the improved swarm intelligence optimization algorithm is proposed to reduce the original feature dimension and improve the efficiency and accuracy of the model stability evaluation.Firstly,the original Relief algorithm is improved by the time series layered processing,and this improved algorithm is then used to measure the effectiveness of features,eliminate the inefficient features in classification,and get the preliminary screening feature subset after dimensionality reduction;Subsequently,the search performance of the swarm intelligence optimization algorithm is enhanced by fusing the measures of feature effectiveness.Next,the enhancement algorithm is used as the optimization strategy,and the time series classification model convolution gated recurrent unit(ConvGRU)as the classifier to form a wrapped feature selection scheme based on the swarm intelligence optimization algorithm to further realize feature subset optimization.Finally,through the comparative analysis of the examples,the compression rate of the high-dimensional features in this method may reach more than 80％,and the selected feature subset is able to effectively improve the accuracy of the evaluation model,which verifies the effectiveness and necessity of this method for high-dimensional time series features selection.关键词
暂态电压稳定评估/特征选择/Relief算法/群智能优化/卷积门控循环单元Key words
transient voltage stability assessment/feature selection/Relief algorithm/swarm intelligence optimization/convolution gated recurrent unit分类
信息技术与安全科学引用本文复制引用
王渝红,朱玲俐,赏成波,李晨鑫,杜婷,郑宗生..电力系统暂态电压稳定评估的混合智能特征双重筛选方法[J].电网技术,2024,48(4):1532-1542,中插42-中插44,14.基金项目
国家重点研发计划项目(2021YFB2400800):"响应驱动的大电网稳定性智能增强分析与控制技术".Project Supported by the National Key Research & Development Program of China(2021YFB2400800)"Response-driven Intelligent Enhanced Analysis and Control for Bulk Power System Stability". （2021YFB2400800）
