引用本文:高旭,刘宏君,杜丽艳,等.基于综合评价识别法的智能变电站虚回路在线状态监测技术研究[J].电力系统保护与控制,2019,47(3):182-187.
GAO Xu,LIU Hongjun,DU Liyan,et al.Study on the online status monitoring technology of intelligent substation virtual circuit based on comprehensive evaluation and recognition method[J].Power System Protection and Control,2019,47(3):182-187
【打印本页】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 5380次   下载 2447 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于综合评价识别法的智能变电站虚回路在线状态监测技术研究
高旭1,刘宏君2,杜丽艳1,武同心1
(1.国网冀北电力有限公司,北京100081;2.长园深瑞继保自动化有限公司,广东 深圳518057)
摘要:
为了建设全过程模块化的智能变电站,实时地监测继电保护装置,提出了一种智能变电站虚回路的在线状态监测技术。在智能变电站全过程模块化管控策略的基础上,研究了SCD文件的图形化展示技术,提供了装置自身运行状态、软压板投运状态、逻辑链路状态等综合信息。同时在线状态监测系统中将熵权法和灰色关联分析法相结合,用于综合评价识别智能变电站虚回路中的故障类型,及时消除故障隐患,提高现场运维人员的工作效率,进而推进变电站智能化的发展。
关键词:  智能变电站  SCD文件可视化  熵权法  灰色关联分析  在线状态检测
DOI:10.7667/PSPC180196
分类号:
基金项目:国家电网公司科技项目资助(524625160028)
Study on the online status monitoring technology of intelligent substation virtual circuit based on comprehensive evaluation and recognition method
GAO Xu1,LIU Hongjun2,DU Liyan1,WU Tongxin1
(1. State Grid Jibei Electric Power Company Limited, Beijing 100081, China;2. CYG SUNRI Co. Ltd, Shenzhen 518057, China)
Abstract:
In order to construct a modular intelligent substation and monitor the relay protection device in real time, an online state monitoring technology for the virtual circuit of intelligent substation is proposed. Based on the whole process modularized control strategy of smart substation, this paper studies the graphical display technology of SCD files and provides integrated information such as the operating status of the device itself, the operation state of the soft press plate and the state of the logic link. In on-line condition monitoring system, entropy weight method and Grey Relational Analysis (GKA) are combined to comprehensively evaluate the fault types in the virtual circuit of intelligent substation, eliminate the problems in time, improve the work efficiency of field operations staff, and promote the development of intelligent substation. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 524625160028).
Key words:  intelligent substation  SCD file visualization  entropy weight method  GRA  on-line state detection
  • 1
X关闭
  • 1
X关闭