摘要
直驱风电场(direct-drive wind farm,DDWF)并入弱交流系统存在发生次同步振荡(sub-synchronous oscillation,SSO)的风险。由于DDWF模型阶数较高,实际分析时须降阶处理。现有平衡降阶方法在分析SSO问题时,无法在降阶过程中精确保留系统SSO模式。针对此问题,文中提出一种适用于SSO分析的平衡降阶方法。该方法基于参与因子分析,保留与SSO模式强相关的状态变量,并结合Hankel奇异值确定降阶阶数,建立与全阶系统模型SSO特性和动态特性都一致的降阶系统模型。首先,对DDWF并入弱交流系统的全阶小信号模型进行平衡变换,建立平衡系统模型。然后,对平衡系统模型进行参与因子分析,结合Hankel奇异值确定保留状态变量集合,再利用残差降阶法建立降阶系统模型。最后,对全阶系统模型和降阶系统模型进行对比验证,结果表明所提降阶方法适用于DDWF并入弱交流系统SSO问题的研究。
Direct-drive wind farms(DDWF)merged into weak AC systems have the risk of sub-synchronous oscillations(SSO).Because the DDWF model has a higher order,it needs to be reduced for actual analysis.When analyzing the SSO problems,the existing balanced reduction method cannot accurately keep SSO modes of the system during the reduction process.To solve this problem,a balanced reduction method for SSO analysis is proposed.This method is based on the participation factor analysis and retains the state variables which strongly related to the SSO model.Combining with the Hankel singular value to determine the reduction order,a reduced-order system model consistent with the SSO characteristics and dynamic characteristics of the full-order system model is established.Firstly,a balanced system model by balancing the small signal model of the full-order system is established.Then,the participation factor analysis is performed on the balanced system model,combined with the Hankel singular value to ensure the set of retained state variables,and the residual order reduction method is used to establish the reduced-order system model.Finally,by comparing the full-order system model and the reduced-order system model,the results show that the proposed reduced-order method is suitable for the study of DDWF integration into weak AC system SSO.
作者
高本锋
符章棋
王刚
冉慧娟
GAO Benfeng;FU Zhangqi;WANG Gang;RAN Huijuan(Key Laboratory of Distributed Energy Storage and Microgrid of Hebei Province(North China Electric Power University),Baoding 071003,China)
出处
《电力工程技术》
北大核心
2023年第3期112-120,共9页
Electric Power Engineering Technology
基金
国家重点研发计划资助项目(2021YFB2400800)。
