中国电机工程学报2024，Vol.44Issue(7)：2670-2684,后插13,16.DOI:10.13334/j.0258-8013.pcsee.222536
基于数据-模型融合驱动的新能源场站宽频阻抗在线辨识及稳定性评估
Wideband Impedance Online Identification and Stability Assessment of Renewable Power Plants Based on Physics-informed Data-driven Method
摘要
Abstract
The penetration of renewable energy generation such as wind power generation and photovoltaics in the power grid is increasing continuously,resulting in serious wideband oscillation problems.Impedance-based stability analysis method is one of the effective research methods for wideband oscillation issues of renewable power integration systems.However,due to factors such as the"black/gray box"problem of commercial renewable power generation units(RPGUs)and the random uncertainty characteristics of operating conditions of renewable power plants(RPPs),there are some difficulties in accurate impedance/admittance modeling of RPPs.Therefore,a wideband impedance/admittance online identification method of RPPs based on combined data-driven and model-driven(physics-informed data-driven)is proposed in this paper.For RPGUs with random and uncertain inputs,the wideband impedance/admittance identification models that are suitable for all operating conditions are established based on the data-driven method.Considering the physical structure model of the RPP,the online wideband impedance/admittance identification model of the RPP is established based on combined data-driven and model-driven.Finally,taking the wind power integration system as an example,the stability of the wind power integration system is evaluated online by using the established admittance identification model.The correctness of online stability analysis is verified by time-domain simulation.关键词
数据驱动/风电场/神经网络/阻抗/导纳/稳定性在线评估Key words
data-driven/wind farm/neural network/impedance/admittance/online stability assessment分类
信息技术与安全科学引用本文复制引用
饶仪明,吕敬,王众,蔡旭..基于数据-模型融合驱动的新能源场站宽频阻抗在线辨识及稳定性评估[J].中国电机工程学报,2024,44(7):2670-2684,后插13,16.基金项目
国家自然科学基金项目(52277195).Project Supported by National Natural Science Foundation of China(52277195). （52277195）
