基于量测数据时序谱分布特性的电力系统暂态功角稳定在线判别  

Online Identification for Power System Transient Angle Stability Based on Time-series Spectral Distribution Characteristics of Measured Data

作　　者：孙辉[1] 孙宝硕 高正男 胡姝博 陈晓东 王钟辉 刘劲松 SUN Hui;SUN Baoshuo;GAO Zhengnan;HU Shubo;CHEN Xiaodong;WANG Zhonghui;LIU Jinsong(School of Electrical Engineering,Dalian University of Technology,Dalian 116024,Liaoning Province,China;Electric Power Research Institute of State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110000,Liaoning Province,China;Dispatch&Communication Center of State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110000,Liaoning Province,China)

机构地区：[1]大连理工大学电气工程学院,辽宁省大连市116024 [2]国网辽宁省电力有限公司电科院,辽宁省沈阳市市110000 [3]国网辽宁省电力有限公司调通部,辽宁省沈阳市110000

出　　处：《电网技术》2023年第3期1107-1116,共10页Power System Technology

基　　金：国家重点研发计划项目(2019YFB1505400)。

摘　　要：基于响应信息的电力系统暂态稳定判别是实现“实时决策,实时控制”的基础。然而此类方法的准确性受限于场景匹配以及发电机分群等中间环节。为更有效地辨识系统的暂态稳定性,该文以随机矩阵理论为基础,提出一种基于量测数据时序谱分布特性的电力系统暂态功角稳定判别方法。首先根据电力系统的暂态响应特性构建数据模型,并在实时分离窗矩阵的基础上构建插入矩阵模型以降低冗余历史数据对谱分布特性的影响。然后结合谱分布理论和增广矩阵法获取表示数据相关性的最大特征值偏移度(maximum eigenvalue deviation,MED)差值轨迹,并以物理机理严格分析不同稳定模式下MED差值轨迹与暂态功角稳定间的映射关系,从数据相关性的角度制定暂态功角稳定判据,基于量测数据实现暂态响应特性分析和暂态功角稳定在线判别。The online identification of power system transient stability based on the measured data is the basis for realizing the “deciding and controlling on time” purpose.However, the accuracy of this method is limited by the intermediate links such as the scene matching or the generator grouping. In order to identify the transient stability more effectively, based on the random matrix theory, this paper proposes a method for identifying the transient power angle stability of the power system based on the time-series spectral distribution characteristics of the measured data. Firstly, a data model is constructed according to the transient response characteristics of the power system, and an insertion matrix model is then constructed to reduce the influence of the historical data on the spectral distribution characteristics. Next,combining the spectral distribution theory and the augmented matrix method, the maximum eigenvalue deviation(MED)difference trajectory is obtained, representing the data correlation. The mapping relationship between the MED difference trajectory and the transient power angle stability is analyzed based on the physical mechanism, and the transient stability criterion is formulated from the data correlation to realize transient response characteristic analysis and transient power angle stability online identification based on measured data.

关 键 词：暂态功角稳定 谱分布 最大特征值偏移度 广域测量系统 

分 类 号：TM721[电气工程—电力系统及自动化]