基于核密度估计的电网电压质量分析系统研究  

Research on power grid voltage quality analysis system based on kernel density estimation

作　　者：王坤 王江波[2] 孙可[3] 王蕾 孙庆凯 刘林萍 

机构地区：[1]国网浙江省电力公司经济技术研究院,浙江杭州310008 [2]中国农业大学信息与电气工程学院,北京100083 [3]国网浙江省电力公司发展策划部,浙江杭州310007 [4]国网丽水供电公司经济技术研究所,浙江丽水323000

出　　处：《现代电子技术》2018年第2期183-186,共4页Modern Electronics Technique

摘　　要：针对目前传统电压质量评估方法的缺陷与电力系统数据分析软件存在的瓶颈,在引入核密度估计分析方法的基础上运用R语言开发了基于核密度估计的电网电压质量分析系统,从均值、标准差、核密度估计、小提琴分布等方面建立模型参数,对电网电压质量进行分析。通过对杭州西湖区典型变电站2016年电压数据统计分析,验证了用R语言开发的基于核密度估计的电网电压质量分析系统的优势,其具有更加完善的电压质量评价指标、强大的统计计算功能和便捷的数据可视化等特点。Aiming at the shortcomings of the traditional voltage quality evaluation methods and bottlenecks of the electric power system data analysis software, the power grid voltage quality analysis system was developed with kernel density estimation analysis method and R language. Model parameters are established from the respects of mean value, standard deviation, nuclear density estimation and violin distribution to analyze the voltage quality of power grid. The advantages(such as perfect voltage quality evaluation indicator, powerful statistical computing function and convenient data visualization) of the power grid voltage quality analysis system based on kernel density estimation and developed with R language were verified. The verification is based on the statistical analysis for the voltage data of the typical substation in Hangzhou West Lake area in 2016.

关 键 词：电力系统 电压质量 核密度估计 小提琴分布 统计分析 R语言 

分 类 号：TM711[电气工程—电力系统及自动化]