基于加权最小二乘法的数字化智能变电站虚回路自动校验技术
Digital Intelligent Substation Virtual Loop Automatic Verification Technology Based on Weighted Least Square Method
秦鹏伟 1张黄蔚 2姜炯挺 3吴澥凌2
作者信息
- 1. 宁波新胜中压电器有限公司,宁波 315000
- 2. 宁波送变电建设有限公司运维分公司,宁波 315000
- 3. 国网宁波供电公司,宁波 315000
- 折叠
摘要
针对数字化智能变电站智能高效的需求,该文提出基于加权最小二乘法的数字化智能变电站虚回路自动校验方法.通过改进K-means聚类算法,划分数字化智能变电站电力设备区域;采用加权最小二乘法,融合各区域的电力设备相关数据,制定设备间的数据流向规则,分析各区域内设备的数据流向;通过关键词模糊匹配方式,分析流向数据内的端口信息是否对应,整合全部区域的虚回路自动校验结果,完成数字化变电站虚回路自动校验.实验证明,该技术融合数据的最大数据方差仅为2.57,即数据方差较低,数据融合精度较高,自动校验的抗干扰性能较优.
Abstract
In order to meet the demand of intelligent and efficient digital intelligent substation,an automatic virtual loop verification method based on weighted least square method is proposed.By improving the K-means clustering al-gorithm,the digital intelligent substation power equipment area is divided.The weighted least square method was used to integrate the relevant data of power equipment in each region.Make data flow rules between devices and analyze data flow of devices in each area.Through the keyword fuzzy matching method,the port information in the flow data is analyzed,and the virtual loop automatic check results of all areas are integrated to complete the digital substation virtual loop automatic check.Experimental results show that the maximum data variance of the fusion data is only 2.57,that is,the data variance is low and the data fusion accuracy is high.The anti-interference performance of automatic check is better.
关键词
加权最小二乘法/数字化/智能变电站/虚回路/自动校验/K-means聚类Key words
weighted least square method/digitization/intelligent substation/virtual loop/automatic check/K-means clustering引用本文复制引用
出版年
2024
NETL
NSTL
万方数据