基于功率谱密度极值点跟踪的次同步振荡辨识方法研究与应用  

Research and application of sub-synchronous oscillation identification method based on extreme point tracking of power spectral density

作　　者：张锋 孙小晶[2] 王衡 常喜强 郭小龙 白淑华[2] 常富杰[2] ZHANG Feng;SUN Xiaojing;WANG Heng;CHANG Xiq ismg;GUO Xiao long;BAI Shuhua;CHANG Fujie(State Gricd Xinjiang Electric Power Company, Urumqi 830002 Xin jiang, China;Beijing Sifang Automation Co. , Ltd. , Beijing 100085, China)

机构地区：[1]国网新疆电力有限公司,新疆乌鲁木齐830002 [2]北京四方继保自动化股份有限公司,北京100085

出　　处：《电力大数据》2018年第5期66-73,共8页Power Systems and Big Data

基　　金：国家电网公司总部科技项目资助(大规模新能源汇集地区次同步谐波监测、分析及控制技术研究)

摘　　要：随着新能源发电的快速发展,大规模新能源汇集地区频繁出现次同步振荡问题,且振荡现象与串补、直流输电引起的次同步振荡不同,具有超同步谐波凸显和频率时变的特性。为了能够对新能源汇集地区中的次同步振荡信号进行准确提取和辨识,本文综合新能源汇集地区电力系统次同步振荡特性,提出了一种基于功率谱密度极值点跟踪的次同步振荡的主导次/超同步谐波检测方法,该方法能够从电气量测响应中快速准确地捕捉到微弱扰动的频率和幅值变化,为次同步振荡的预警、保护和控制研究提供科学的参考数据。通过对现场实测波形数据采用传统FFT分析方法与本文方法进行对比分析,本文提出的方法能够更好的适应频率缓慢时变的情况以及具有特定频率下更高检测精度的优点,从而验证了本文中所提方法的正确性和有效性。Witli the rapid development of new energy power generation,the sub-synchronous oscillation are found frequently in largescale new energy collection areas,and the oscillation phenomenon in new energy collection areas is diferent oscillation caused by series compensation and DC transmission system, which has the characteristics frequency time-varying. In order to accurately extract and identify the sub synchronous oscillation area,a method of detecting the main sub-synchronous and super-synchronous inter-harmonics based on power point tracking is presented to identify the SSO Signal quickly and correctly. This metliod can quickly frequency change and amplitude of inter-harmonics from the electric measurement response,and study of sub-synchronous oscillation prediction,protection and control. Through comparison of the traditional FFT analysis method and this method,the proposed method in this paper can better adapt to the time-varying frequency and have the advantages of higher detection accuracy at a specific frequency,and shows that the proposed method in thii

关 键 词：新能源 次/超同步谐波 傅立叶变换 滤波 功率谱密度 

分 类 号：TM76[电气工程—电力系统及自动化]