摘要
基于特征值分析法、并行计算技术和低频振荡在线辨识技术,提出一种互联电网小干扰稳定实时分析策略。传统的特征值分析法存在缺根和计算速度慢的缺点,无法达到小干扰稳定分析实时应用的需求;随着广域测量系统的发展,模态辨识方法被用来在线监测电网的低频振荡,但是该方法提供的结果信息有限。所提出的实时小干扰分析方法将低频振荡在线辨识和特征值计算相结合,有效利用广域测量系统提供的辨识结果,进行深度小干扰稳定分析,能准确、全面地实时评估电力系统小干扰稳定情况,为调度人员及时地采取有效抑制振荡的控制措施提供依据。特高压联网区域的实际算例计算,验证了该方法的准确性和有效性。
A novel strategy for real time study of interarea low frequency oscillations was proposed. Small signal stability analysis in large scale power systems is presently performed through the computation of the dominant eigenvalues and their corresponding eigenvectors. With the rapid development of wide area measurement system （WAMS）, online identification is adopted to assess the small signal stability for real-time power system. Each method has been used separately and the performance is not satisfactory. Real time analysis method takes advantage of both online identification and eigenvalue calculation method. It can detect dominant oscillation modes, and calculate corresponding sensitivities and their participation factors. The real time analysis platform has also been developed and implemented on monitoring and analyzing interarea oscillations of power grids which are interconnected by ultra high voltage transmission line in China. The analysis result validates the efficiency and accuracy of the proposed method.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2010年第13期1-7,共7页
Proceedings of the CSEE
基金
国家重点基础研究发展计划项目(973项目)(2004CB217904)~~
关键词
小干扰稳定
实时分析
特征根计算
在线辨识
特高压
small signal stability
real time analysis
eigenvalue computation
online identification
ultra high voltage （UHV）
