智能变电站故障信息模型与继电保护在线监测方法
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  • 英文篇名:Fault information model and online monitoring method for relay protection system in smart substation
  • 作者:刘琨 ; 黄明辉 ; 李一泉 ; 陈志光 ; 曾耿晖 ; 刘玮 ; 苏忠阳
  • 英文作者:LIU Kun;HUANG Minghui;LI Yiquan;CHEN Zhiguang;ZENG Genghui;LIU Wei;SU Zhongyang;Electric Power Dispatching Control Center of Guangdong Power Grid Co.,Ltd.;Key Laboratory for Protective Relaying Real Time Digital Simulation of Guangdong Power Grid Co.,Ltd.;Guangzhou Suihua Energy Technology Co.,Ltd.;
  • 关键词:智能变电站 ; 在线监测 ; 状态信息 ; 故障信息模型 ; 继电保护
  • 英文关键词:smart substation;;online monitoring;;state messages;;fault information model;;relay protection
  • 中文刊名:DLZS
  • 英文刊名:Electric Power Automation Equipment
  • 机构:广东电网有限责任公司电力调度控制中心;广东电网有限责任公司RTDS继电保护仿真重点实验室;广州穗华能源科技有限公司;
  • 出版日期:2018-02-09 12:50
  • 出版单位:电力自动化设备
  • 年:2018
  • 期:v.38;No.286
  • 基金:中国南方电网公司科技项目(K-GD2014-186)~~
  • 语种:中文;
  • 页:DLZS201802027
  • 页数:7
  • CN:02
  • ISSN:32-1318/TM
  • 分类号:217-223
摘要
充分利用智能变电站信息开放与信息共享的优势,提出基于智能变电站系统特性的继电保护在线监测新方法。全面分析继电保护在线监测功能需求,提出继电保护在线监测思路;建立包含一次系统间隔模型、二次系统端口模型、二次系统逻辑模型的智能变电站故障信息模型,在此基础上,充分描述继电保护状态信息间的耦合及关联关系,自动辨识继电保护关键状态,并实现继电保护故障定位。算例分析结果表明,基于智能变电站故障信息模型的继电保护在线监测方法可实现继电保护关键状态的辨识,并实现精准的故障定位。
        Taking full advantages of open and shared information in smart substation,a new online monitoring method for relay protection is proposed based on the system characteristics of smart substation. The necessity of online monitoring for relay protection is comprehensively analyzed,and the management of online monitoring for relay protection is illustrated. In order to achieve the detailed description of the coupling relationship between state information of relay protection,automatic identification of the key state and location of the fault point,a fault information model for smart substation is formulated,which includes a primary system bay model,a secondary system port model and a secondary system logic model. Test results demonstrate that the online monitoring method based on fault information model for smart substation can accurately identify abnormal operation state information and fault locations.
引文
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