基于随机矩阵理论的特高压直流送端电网异常状态判别  

Identification of abnormal state of UHVDC power grid based on random matrix theory

作　　者：陈肖璐 龚庆武[2] 任正 高贺 郑博文 卢健强 刘旭 吴留闯 CHEN Xiaolu;GONG Qingwu;REN Zheng;GAO He;ZHENG Bowen;LU Jianqiang;LIU Xu;WU Liuchuang(State Grid Inner Mongolia Eastern Power Company Limited Electric Power Research Institute,Hohhot 010000,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)

机构地区：[1]国网内蒙古东部电力有限公司电力科学研究院,内蒙古呼和浩特010000 [2]武汉大学电气与自动化学院,湖北武汉430072

出　　处：《武汉大学学报（工学版）》2020年第3期232-240,共9页Engineering Journal of Wuhan University

基　　金：国家电网公司科技项目资助(编号:SGMDDK00DJJS1700073)

摘　　要：特高压直流输电在我国发展迅速,而特高压直流输电的投运使电力系统运行状态更加复杂多变,在这种情况下,如何充分利用广域量测系统(wide area monitoring system,WAMS)形成的电力大数据快速准确地判别电网的异常状态是个难题。首先,介绍了随机矩阵理论常用的定义与定理;然后,将无法直接判断异常状态的圆环律图形转换为数字指标,用平均谱半径(mean spectral radius,MSR)构建异常状态评价指标,并考虑圆环律得到的内环数据点比例,提出基于圆环律与平均谱半径的电网异常状态检测指标与电网异常状态严重程度的谱分布检测指标最后,基于某实际送端电网仿真数据,形成随机矩阵,验证所提出指标的正确性和有效性。At present, ultra-high voltage direct current(UHVDC) transmission is developing rapidly in China,and the operation of UHVDC transmission makes the operation state of the power system more complex and changeable. In this case, it is a difficult problem to make full use of the large data formed with wide area monitoring system(WAMS) to identify the abnormal state of the power grid quickly and accurately. Firstly, the common definitions and theorems of random matrix theory are introduced, the graph of ring theorem that can’t directly judge the abnormal state is transformed into a digital index, and the evaluation index of abnormal state is constructed using the mean spectral radius(MSR). Then, the proportion of inner ring data points obtained by ring theorem is considered, and the detection indexes of the abnormal state and the severity of the abnormal state of the power grid are put forward based on the circle theorem and the MSR. Finally, a random matrix is formed based on the simulation data of a real sending end network to verify the correctness and effectiveness of the proposed indexes.

关 键 词：随机矩阵理论 圆环律 平均谱半径 异常状态监测 

分 类 号：TM712[电气工程—电力系统及自动化]