南方电网技术2015，Vol.9Issue(6)：80-86,7.DOI:10.13648/j.cnki.issn1674-0629.2015.06.014
基于大数据分析的暂态电能质量综合评估方法
Comprehensive Evaluation Method of Transient Power Quality Based on Big Data Analysis
摘要
Abstract
A transient power quality assessment method is proposed based on Naive Bayes classification in the architecture of big data processing. The data sources are extended to power grid monitoring data, power customer data and public data, and the assessment se-verities are classified into normal state, abnormal state, critical state, and failed state according to the results of Naive Bayes classifi-cation. A Naive Bayes classification method based on MapReduce to realize power quality assessment is designsed. In the classifier training phase, massive historical data are used as the distributed learning object, and assessment rules are generated periodically. In the state assessment phase, each assessment node updates the assessment rules generated by the training phase, generates real-time e-valuation of the samples from the stream processing framework, and evaluates the power quality state according to the current rule. Ex-periment results show that the transient power quality evaluation method based on big data analysis presented in this paper is feasible, and achieve good results both in classification accuracy and processing speed.关键词
大数据/MapReduce/分布式数据挖掘/朴素贝叶斯(NaiveBayes)分类Key words
big data/MapReduce/distributed data mining/Naive Bayes classification分类
信息技术与安全科学引用本文复制引用
张华赢,朱正国,姚森敬,高田,曹军威,韩蓄,王淼..基于大数据分析的暂态电能质量综合评估方法[J].南方电网技术,2015,9(6):80-86,7.基金项目
国家重点基础研究发展计划(973计划) (2013CB228206) （973计划）
国家自然科学基金(61233016) （61233016）
中国南方电网公司2012年科技项目(K-SZ2012-026). Supported by the National Basic Research Program of China (973 Program) (2013CB228206) （K-SZ2012-026）
National Natural Science Foun-dation of China (61233016) （61233016）
Science&Technology Projects of CSG (K-SZ2012-026). （K-SZ2012-026）
