中国电力 ›› 2016, Vol. 49 ›› Issue (6): 126-131.DOI: 10.11930/j.issn.1004-9649.2016.06.126.06

• 电网 • 上一篇    下一篇

大规模智能电能表自动化检定的关键技术

苏慧玲1,2,王忠东1,2,蔡奇新1,2,宋瑞鹏1,2,李纬1,2   

  1. 1. 国网江苏省电力公司电力科学研究院,江苏 南京 211100;
    2. 国家电网公司电能计量重点实验室,江苏 南京 211100
  • 收稿日期:2015-10-08 修回日期:2016-06-16 出版日期:2016-06-16 发布日期:2016-06-16
  • 作者简介:苏慧玲(1983-),女,河南周口人,博士,从事电力计量自动化检定与智能用电研究。E-mail: suhuil@163.com

Key Technologies of Large-Scale Automatic Test of Smart Meters

SU Huiling1, 2, WANG Zhongdong1, 2, CAI Qixin1, 2, SONG Ruipeng1, 2, LI Wei1, 2   

  1. 1. State Grid Jiangsu Electric Power Research Institute, Nanjing 211100, China;
    2. State Grid Key Laboratory of Electric Energy Measurement, Nanjing 211100, China
  • Received:2015-10-08 Revised:2016-06-16 Online:2016-06-16 Published:2016-06-16

摘要: 为研究适应于大规模智能电能表自动化检定的关键技术,从数据交互、调度控制、智能诊断3个方面对离散型检定模式进行探讨。首先,从多维感知角度构建自动化检定数据的应用架构,采用WCF(windows communication foundation)和MQ(active message queue)通信模式搭建数据交互架构,提出前馈反馈综合控制机制;其次,基于自动化检定的控制架构,建立时空纵横调度控制策略;最后,依据自动化检定设备类别划分异常/故障类别并建立故障知识库,基于“告警-发现-诊断-处理-学习”机制的智能诊断流程,搭建智能诊断应用架构。所提方法有效保证了交互数据的准确和可靠,实现了自动化检定的时空协同运行,能够有效提高大规模自动化检定日常运维效率。

关键词: 智能电能表, 离散型自动化检定, 数据交互, 调度控制, 智能诊断

Abstract: Key technologies of large-scale automated verification of smart meters are dicussed from data interaction, dispatching control and intelligent diagnosis. First, an application architecture of discrete automatic test is built from multi-dimensional sense using WCF(Windows Communication Foundation) and MQ(Active Message Queue) communication mode. A method combined with feedforward and feedback control is proposed to ensure accuracy and reliability of interactive data. Second, time-space dispatching control strategy is constructed based on the automation verification control framework. Third, combined with fault-knowledge library,“Alarm- Discovery-Diagnosis-Resolution-Study” method is used to construct intelligent diagnosis. The proposed methods are effective for accurate and reliabile data interaction, cooperation of automatic test and operational efficiency.

Key words: smart meter, discrete automation verification, data interaction, dispatching control, intelligent diagnosis

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