• 特邀专栏: 微电网功率变换与稳定控制 •

一种基于交换机的智能变电站过程层监测系统

1. 1. 中国能源建设集团辽宁电力勘测设计院有限公司 沈阳 110179
2. 国网锦州供电公司 锦州 121000
3. 国网辽宁省电力有限公司 沈阳 110004
• 收稿日期:2019-12-16 出版日期:2020-03-25 发布日期:2020-05-13
• 作者简介:白晶石,男,1980年生,高级工程师。主要研究方向为智能变电站建设运维检修管理。E-mail：jingu40962@126.com|张威,男,1980年生,硕士,高级工程师。主要研究方向为电力规划设计。E-mail：zhangwei@126.com|李海龙,男,1981年生,硕士,高级工程师。主要研究方向为变电站智能化管理。E-mail：1208319383@qq.com

Switch-based Intelligent Substation Process Layer Monitoring System

BAI Jingshi1,ZHANG Wei2,LI Hailong3

1. 1. China Energy Engineering Group Liaoning Electric Power Survey & Design Institute Co., Ltd., Shenyang 110179 China
2. State Grid Jinzhou Electric Power Supply Company, Jinzhou 121000 China
3. State Grid Liaoning Electric Power Supply Co., Ltd., Shenyang 110004 China
• Received:2019-12-16 Online:2020-03-25 Published:2020-05-13

Abstract:

In the industrial electrical automation system, more and more sensors have been added to the power supply and distribution system which formed an intelligent power supply and distribution system. According to the multiple needs of the intelligent power distribution system, and the inconvenience of the smart substation monitoring method, as well as the problem of low detection accuracy, an intelligent substation process-level monitoring system based on switches is designed. By deploying different types of switch systems in the monitoring network, multiple ways of detecting intelligent substations can be achieved, and by building a network topology diagram, the switch-based intelligent substation networking system is made more visible. At the same time, based on the fault association rule mining algorithm, the fault calculation of the network data is realized. The weighted Apriori association rule algorithm is used to mine the association rules of the process layer network topology switch application. By determining each network in the networking system, the network warning level based on attributes such as network traffic, device connection, and switch CPU utilization is determined. The monitoring system is proved to have higher accuracy and smaller error through the test.