配电变压器大数据检测新方法鉴别绕组材质和容量  

A new inspection method to diagnose winding material and capacity of distribution transformer based on big data

作　　者：郑志曜 李志 高一波 袁衢龙 余绍峰 陈建军 ZHENG Zhiyao;LI Zhi;GAO Yibo;YUAN Qulong;YU Shaofeng;CHEN Jianjun(Zhejiang Huadian Equipment Inspection Institute Co.,Ltd.,Hangzhou 310015 Zhejiang,China;Zhejiang Huayun Clean Energy Co.,Ltd.,Hangzhou 310008 Zhejiang,China)

机构地区：[1]浙江华电器材检测研究所有限公司,浙江杭州310015 [2]浙江华云清洁能源有限公司,浙江杭州310008

出　　处：《电力大数据》2018年第8期31-37,共7页Power Systems and Big Data

摘　　要：以国电浙江省电力有限公司全景质控业务链为背景,针对常规检测手段不能有效发现的配电网设备"疑难杂症",提出了一种基于大数据统计分析的检测新技术,旨在能快速、经济和有效地诊断配电网设备质量问题。本文收集了浙江省配网物资质量检测中心每年所检测的一千多台配电变压器的物理特征参数和试验数据,通过大数据统计方法分析各规格型号配变的体积、重量、直流电阻、空载损耗、负载损耗和短路阻抗的分布情况,再结合评估流程来评估配变是否存在绕组材质作假或者容量错标。具体评估流程分三步:首先针对检测目标不同,确定相关核心数据(绕组材质:体积、重量、直流电阻;容量:空载损耗、负载损耗、短路阻抗);其次建立配变核心数据和非核心数据的关联数据库;最后通过关联数据库进行初判,对可疑对象再用其他方法逐一确认。This paper takes State Grid Zhejiang Electric Power Corporation panoranfic quality business chain as background, centering on the problem that distribution equipment is hard to be inspected accurately with routine inspection, proposes a new inspection technology, aiming to diagnose the quality problem of distribution equipment quickly, economically and accurately. This paper accumulates a large number of physical characteristic parameter and test data of more than one thousand distribution transformers from Zhejiang Corporation quality inspection center of distribution equipment, and analyzes the distribution of volume,weight, DC resistance, noload loss,load loss and shortcircuit impedance of distribution transformer in different capacity levels through the statistical method of big data, and finally makes a assessment process to diagnose winding material and capacity of distribution transformer. The specific assessment process is divided into three steps ： First, determine the relevant core data for different inspection targets （ winding material ： volume, weight, DC resistance ; capacity：noload loss,load loss and shortcircuit impedance） ; Second, build associated database of core data and noncore data of distribution transformer;At last,use the associated database for preliminary judgment：and other method to eonfirm one by one. Key words：big data statistical analysis;distribution transformer;winding material inspection;capacity inspection

关 键 词：大数据统计分析 配电变压器 绕组材质检测 容量检测 

分 类 号：TM41[电气工程—电器]