摘要
基于随机矩阵理论设计了配电网阵列的薄弱性评估系统。依次介绍了工程项目背景和算法理论知识,通过对实际数据的时空联合特性分析,提炼出大数据中的高维指标。所设计的方案已经部署于实际电力系统平台上,服务于巡检、调度等作业。最后通过真实算例对所提方案进行验证,进而提出了命中率和虚警率作为方案的考量指标。
Based on random matrix theory,a system was designed for weak point detection of distribution network. The engineering background and related theories were introduced. Using the spatial-temporal analysis,the feature in the data was extracted in the form of indicator. The approach was validated using field data on certain physical platform for routing inspection and dispatch. Furthermore,hit ratio and false alarm ratio were presented to estimate the designed system.
作者
徐重酉
韩翊
贺兴
卓一
石鑫
XU Zhongyou 1, HAN Yi 2, HE Xing 3, ZHUO Yi 2, SHI Xin 3(1.State Grid Ningbo Electric Power Corporation, Ningbo 315012, China;2.Zhejiang Creaway Information Technology Co.,Ltd., Hangzhou 310008, China;3.Shanghai Jiaotong University, Shanghai 200240, Chin)
出处
《电器与能效管理技术》
2018年第9期54-59,共6页
Electrical & Energy Management Technology
基金
国家自然科学基金项目(61571296)
关键词
大数据技术
薄弱阵列
随机矩阵理论
配电网
巡检
调度
big data analytics
weak point
random matrix theory
distribution network
routing inspection
dispatch