南方电网技术2017，Vol.11Issue(4)：30-37,8.DOI:10.13648/j.cnki.issn1674-0629.2017.04.005
基于大数据的输电线路故障预警模型设计
Design of Fault Warning Model of Transmission Line Based on Big Data
郑茂然 1余江 1陈宏山 1高宏慧 1张静伟 1吕梁 2刘智勇2
作者信息
- 1. 中国南方电网有限责任公司电力调度控制中心,广州510623
- 2. 山大地纬软件股份有限公司,济南250100
- 折叠
摘要
Abstract
The development of remote fault diagnosis of transmission line is one of the focuses of the construction of smart grid.To solve the problems of homogeneous uploaded data, enormous amount of data, and poor data utilization, naive Bayes algorithm is used together with similarity fault matching by time sequence to establish a transmission line fault warning model, based on the big data processing cluster technology provided by the background platform.The model uses collected data of electrical and switching information, event sequence information, power network topology, and data acquired by fault recorders during transmission line failure, and applies naive Bayes algorithm to excavate the occurrence factor of potential fault (i.e., fault factor), then, by cooperating with similarity fault matching by time sequence, the fault of transmission line can be forecasted.Case analysis shows that the model can excavate fault factors correctly and the forecast result is satisfactory.关键词
输电线路/大数据/朴素贝叶斯算法/时间序列相似性匹配/故障预警模型Key words
transmission line/big data/naive Bayes algorithm/similarity matching by time sequence/fault warning model分类
信息技术与安全科学引用本文复制引用
郑茂然,余江,陈宏山,高宏慧,张静伟,吕梁,刘智勇..基于大数据的输电线路故障预警模型设计[J].南方电网技术,2017,11(4):30-37,8.
