大型双馈风力发电机并网时变次同步谐振识别研究  

A Study on Time-Varying Synchronous Resonance Recognition of Large Doubly Fed Wind Generators Grid-Connected

作　　者：何永祥 HE Yongxiang(Suining Power Supply Company of State Grid Sichuan Electric Power Company,Suining 629000,Sichuan,China)

机构地区：[1]国网四川省电力公司遂宁供电公司,四川遂宁629000

出　　处：《电网与清洁能源》2022年第10期135-140,共6页Power System and Clean Energy

基　　金：四川省自然科学基金项目(SGSCKE00JYJS1900066)。

摘　　要：针对双馈风力发电机并网时变次同步谐振的频谱变化不明显、难识别的问题,提出新的基于线性函数矩阵的同步谐振识别方法。检测历史数据中发电机工作过程所产生的谐波频率,推导影响谐振变化的参数间的正相关规律,构建含谐波频率的分量表达式,求解振动幅值、初始相位、衰败因子以及波动频次的参数分量;根据线性指数函数关系,建立识别样本序列,整合各个时刻下谐振数据的极限值,建立谐振识别矩阵,运用普罗尼系数将与极限值极为贴合的数据判定为次同步谐振,完成大型双馈风力发电机并网时变次同步谐振的识别。仿真实验表明,所提方法对谐振参数的分析及捕捉准确性高,且整体鲁棒性和适用性强,具有较高的应用价值。As the time-varying subsynchronous resonance spectrum of doubly fed wind turbine is not obvious and difficult to identify,a new synchronous resonance identification method based on linear function matrix is proposed in this paper. The proposed method detects the harmonic frequency generated by the working process of the generator in the historical data,deduces the positive correlation law between the parameters affecting the resonance change, constructs the component expression with harmonic frequency,and obtains the parameter components of vibration amplitude,initial phase,decay factor and fluctuation frequency. On this basis,the identification sample sequence is established according to the linear exponential function relationship,the limit value of resonance data at each time is integrated,the resonance identification matrix is established,and the data closely fitting the limit value is determined as subsynchronous resonance by using the Proni coefficient,so as to complete the identification of time-varying subsynchronous resonance of large doubly fed wind generators connected to the grid. Simulation results show that the proposed method has high accuracy, strong overall robustness and applicability,and has high application value.

关 键 词：线性函数矩阵 谐波频率 衰败因子 极限值 时变次同步谐振 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]