电力系统自动化2025，Vol.49Issue(10)：39-48,10.DOI:10.7500/AEPS20240712001
跟网型直驱风机惯量控制下系统频率响应聚合建模
Aggregation Modeling of System Frequency Response Under Inertia Control of Grid-following Direct-drive Wind Turbine
摘要
Abstract
The inertia control of grid-following direct-drive wind turbines significantly influences the system frequency response pattern after disturbances.However,current research has not clearly identified the dominant response link of direct-drive wind turbines in frequency regulation,while the modeling is too complicated to be suitable for frequency characteristic analysis.Therefore,the linearized models under inertia control are derived for two typical types of direct-drive wind turbines according to the aerodynamic equations,generator models,power control link,and control circuit structure.The fast physical process of current control-boost circuit/stator voltage dynamic loop is clearly understood and reasonably ignored.It is revealed that the two types of direct-drive wind turbines have a common frequency response mechanism which can be described as the cascade effect of the speed regulator-wind rotor motion equation.Furthermore,combined with the frequency response model of synchronous unit,the aggregation model of system frequency response under the inertia control of grid-following direct-drive wind turbines is constructed,and the aggregation model is reduced to a second-order model by the balance truncation method for analytical calculation of frequency extremes.The accuracy and applicability of the aggregation model and its reduced-order model are verified by MATLAB/Simulink simulation,and the influence of control parameters and system states on frequency dynamic characteristics and stability margin is analyzed.关键词
跟网型/直驱风机/惯量控制/频率响应/聚合模型/稳定裕度Key words
grid-following/direct-drive wind turbine/inertia control/frequency response/aggregation model/stability margin引用本文复制引用
姜超,杨冬锋,郭书嘉,刘晓军,周书宇,曹志冲..跟网型直驱风机惯量控制下系统频率响应聚合建模[J].电力系统自动化,2025,49(10):39-48,10.基金项目
国家重点研发计划资助项目:"响应驱动的大电网稳定性智能增强分析与控制技术"(2021YFB2400800). This work is supported by National Key R&D Program of China(No.2021YFB2400800). （2021YFB2400800）
