基于随机矩阵理论的交直流输电通道线损大数据关联特性分析  

Relevance characteristic analysis of line loss big data in AC and DC transmission channels based on random matrix theory

作　　者：王奇[1] 庄远灿 阎帅[1] 朱建全[2] 蔡延雷[1] 刘明波[2] WANG Qi;ZHUANG Yuancan;YAN Shuai;ZHU Jianquan;CAI Yanlei;LIU Mingbo(Maintenance and Test Center, EHV, China Southern Power Grid, Guangzhou 510663, China;School of Electric Power, South China University of Technology, Guangzhou 510640, China)

机构地区：[1]中国南方电网超高压输电公司检修试验中心,广东广州510663 [2]华南理工大学电力学院,广东广州510640

出　　处：《电力自动化设备》2018年第5期70-76,共7页Electric Power Automation Equipment

基　　金：国家自然科学基金资助项目(51307064);中国南方电网公司科技项目(CGYKJXM00000032);中央高校基本科研业务费专项资金资助项目(2017ZM0022)~~

摘　　要：基于随机矩阵理论对西电东送交直流输电通道线损率的关联特性进行分析。首先,利用线损大数据构建出实验矩阵数据源与对比矩阵数据源,并通过滑动窗口分别对这2类数据源进行滑动取样;其次,将平均谱半径作为关联特性的量化指标,计算出实验矩阵与对比矩阵的平均谱半径以量化线损率之间的关联特性;最后,对南方电网"八交八直"输电通道的线损大数据进行分析,结果表明所提方法能定量描述线损率与状态量及不同通道的线损率之间的关联特性。In order to analyze the relevance characteristics of line loss rate in AC and DC transmission channels of West-East Power Transmission Project ,a method is proposed based on random matrix theory. Firstly, the experimental matrix data source and the comparison matrix data source are constructed by using line loss big data, and the sliding window is used to sample these two types of data sources respectively. Secondly, the MSR（ Mean Spectral Radius） of the random matrix theorem is defined as the quantitative index of the relevance characteristics, and the relevance characteristics of line loss rate are quantized by calculating the MSRs of the experimental matrix and the comparison matrix. Finally,the line loss big data of the eight AC and eight DC transmission channels of China Southern Power Grid are analyzed, and the results show that the proposed method can quantitatively describe the relevance character- istics between the line loss rate and the power state as well as the relevance characteristics among the line loss rates of different channels.

关 键 词：输电通道 线损率 关联特性 随机矩阵理论 平均谱半径 

分 类 号：TM711[电气工程—电力系统及自动化]