中国电机工程学报2026，Vol.46Issue(6)：2214-2228,中插4,16.DOI:10.13334/j.0258-8013.pcsee.242942
基于Koopman算子的双馈风电场无功支撑能力在线量化评估方法
Online Quantitative Assessment Method for Reactive Support Capability of Doubly-fed Wind Farm Based on the Koopman Operator
摘要
Abstract
The power grid mandates that wind farms must have a certain level of reactive support capability.To effectively utilize this capability,it is necessary to quantitatively assess it to prevent voltage limit violations due to insufficient capability or resource wastage due to excess capability.However,accurately assessing this capability is challenging due to the variability of wind resources and complex turbine operations.To address this issue,the paper first provides a reasonable quantification of the reactive support capability at two assessment levels:theoretical support capability and actual support demand.It then proposes an online assessment method based on the Koopman operator.During offline training,this method linearizes complex nonlinear structures into Koopman operators in high-dimensional space.In the online phase,real-time data optimizes these assessments.Finally,a case study analysis of grid-connected doubly-fed wind farm is conducted to evaluate the reactive support capability under different control schemes and wind speed conditions.The simulation shows that the proposed method can accurately and quickly quantify assessments under various complex conditions,and the evaluation results can further enhance voltage support at both the wind unit level and the station level.关键词
双馈风电场/无功支撑能力/在线量化评估/Koopman算子/数据驱动Key words
doubly-fed wind farm/reactive support capability/online quantitative assessment/Koopman operator/data-driven分类
信息技术与安全科学引用本文复制引用
阮益闽,张鑫灏,宗启航,周泓宇,韦善阳,姚伟,文劲宇..基于Koopman算子的双馈风电场无功支撑能力在线量化评估方法[J].中国电机工程学报,2026,46(6):2214-2228,中插4,16.基金项目
国家重点研发计划项目(2022YFB4202304).National Key R&D Program of China(2022YFB4202304). （2022YFB4202304）
