山东电力技术2026，Vol.53Issue(8)：14-26,13.DOI:10.20097/j.cnki.issn1007-9904.250578
基于构网型变流器临界短路比在线预测的小干扰稳定评估方法
Small-signal Stability Assessment Method Based on Online Prediction of the Critical Short-circuit Ratio for Grid-forming Converters
摘要
Abstract
With the integration of grid-forming renewable energy into AC grids,low-frequency oscillations are likely to occur,highlighting the need for online monitoring of the small-signal stability margin of grid-connected systems.To address this,the paper proposes a critical short-circuit ratio prediction model and a small-signal stability margin assessment method for grid-forming renewable energy systems,based on support vector regression.First,a state-space model of the grid-forming renewable energy integration system is established,and based on the corresponding characteristic equation,the influence of control parameters on the critical short-circuit ratio is analyzed.Then,a dataset is generated from the established model,and an online prediction model for the critical short-circuit ratio is developed using particle swarm optimization combined with support vector regression.Finally,the small-signal stability margin of the grid-forming integrated system is assessed based on the difference between the critical short-circuit ratio and the actual short-circuit ratio.Simulation results show that the critical short-circuit ratio predicted by the support vector regression model based on radial basis functions achieves the highest accuracy.The proposed prediction model provides a new approach for online small-signal stability assessment of grid-forming renewable energy systems.关键词
构网型变流器/小干扰稳定性/临界短路比/状态空间/支持向量回归Key words
grid-forming converter/small-signal stability/critical short-circuit ratio/state space/support vector regression分类
信息技术与安全科学引用本文复制引用
程艳,王楠,孙树敏,王士柏,弋豫,关逸飞..基于构网型变流器临界短路比在线预测的小干扰稳定评估方法[J].山东电力技术,2026,53(8):14-26,13.基金项目
国网山东省电力公司科技项目(52062624000N). Science and Technology Project of State Grid Shandong Electric Power Company(52062624000N). （52062624000N）
