基于类噪声小波分解的风电场次同步振荡辨识  

Wind Farm Sub-synchronous Oscillation Mode Identification Based on Wavelet Decomposition of Ambient Noise Signals

作　　者：马俊杰[1] 刘芳[1] 吴敏[2] 陈崇刚 MA Junjie;LIU Fang;WU Min;CHEN Chonggang(School of Information Science and Engineering,Central South University,Changsha 410083,Hunan Province,China;School of Automation,China University of Geoscience,Wuhan 430074,Hubei Province,China)

机构地区：[1]中南大学信息科学与工程学院,湖南省长沙市410083 [2]中国地质大学自动化学院,湖北省武汉市430074

出　　处：《电网技术》2019年第4期1294-1300,共7页Power System Technology

基　　金：国家自然科学基金项目(61673398);湖南省自然科学基金项目(2018JJ2529);湖湘青年英才计划项目(2017RS3006)~~

摘　　要：类噪声信号是电力系统正常运行过程中被噪声信号所掩盖的小扰动响应。基于风电场运行过程中类噪声信号,提出了一种风电场次同步振荡辨识方法。首先,将采样信号通过小波方法分解为多个不同频段的小波分量,基于次同步振荡频率的范围选取响应频段的小波分量;然后将信号重构获得次同步频段的信号;最后通过对重构信号的辨识,获得次同步振荡的频率与阻尼系数,同时通过计算进一步获得系统串补度。仿真结果证明,所提方法能够有效提取类噪声信号中的有效信息,能够准确获取线路参数及风电场次同步振荡模态,从而有助于对风电场潜在的次同步振荡风险进行预警,以及时调整风电场的运行方式。In power system, the responses of small signal disturbances are always covered under ambient noises. In this paper, a wind farm sub-synchronous oscillation mode identification method is proposed based on noise-like signals and wavelet decomposition. Firstly, based on wavelet decomposition, the noise-like signal is decomposed into components in different frequency bands. Then, the component signals higher or lower than the sub-synchronous frequency are filtered out while the rest component signals in subsynchronous frequency band are reconstructed. Finally, by mode identification of the new signal, the potential subsynchronous oscillation modes and their parameters are identified. The compensation level of the series compensation capacitor can be calculated. The mode identification result can be used for wind farm sub-synchronous oscillation early warning and dynamic stability analysis. Simulation result verifies effectiveness of the proposed method.

关 键 词：振荡辨识 类噪声信号 次同步振荡 小波分解 风电场 

分 类 号：TM712[电气工程—电力系统及自动化]