TH.2025.01.017]
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基于WSNs的电站智能开关设备测控系统研究(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

Title:: Research on intelligent switching equipment measurement and control system for power plants based on WSNs

Author(s):: JIANG Chijian; HUANG Lingyu; WANG Botian; LIU Chunxiang; FAN Wenjie; (Shandong Wendeng Pumped Storage Co., Ltd.,Shandong Weihai 264200, China)

Keywords:: Wireless sensor network technology; intelligent switchgear for power plants; monitoring system; ZigBee; Positioning algorithm; error

摘要:: 为实现电站开关设备的智能化、网络化和无人化管理，基于无线传感器网络（WSNs）技术，构建起电站智能开关设备测控系统，系统以ZigBee技术为基础，以CC3200MCU为核心，可实现对设备电压（电流）采集、温度采集、状态采集以及分/合闸控制等功能。系统采用MDS-MAP定位算法，该算法相比其他定位算法，具有更高的定位精度，针对电站智能开关设备，算法的最佳设置参数为：节点数量设置为100个，通讯半径设置为60 m，锚节点占比设置为40%，区域大小设置为100×100。系统可顺利实现电流/电压采集、温度采集、分闸/合闸、继电器控制、无线传输等功能，温度和电流采集平均误差均小于0.1%，温度采集平均误差均控制在±0.5 ℃范围内。为进一步提升系统的监测精度，在系统中植入了温度修正程序，对不同温度区间对采集到的温度值进行校正。

Abstract:: In order to achieve intelligent, networked, and unmanned management of power plant switchgear, a power plant intelligent switchgear measurement and control system is constructed based on wireless sensor networks (WSNs) technology. The system is based on ZigBee technology and centered on CC3200MCU. It can achieve functions such as voltage (current) acquisition, temperature acquisition, status acquisition, and opening/closing control of equipment. The system adopts the MDS-MAP positioning algorithm, which has higher positioning accuracy compared to other positioning algorithms. For intelligent switching equipment in power plants, the optimal setting parameters for the algorithm are: the number of nodes is set to 100, the communication radius is set to 60m, the proportion of anchor nodes is set to 40%, and the area size is set to 100×100. The system can smoothly achieve functions such as current/voltage acquisition, temperature acquisition, opening/closing, relay control, wireless transmission, etc. The average error of temperature and current acquisition is less than 0.1%, and the average error of temperature acquisition is controlled within the range of ± 0.5 ℃. To further improve the monitoring accuracy of the system, a temperature correction program has been implanted in the system to correct the collected temperature values for different temperature ranges.

[1] 李志,余绍峰,彭佳盛,等.考虑开关设备和馈线自动化模式的配电网弹性评估方法[J].电力建设,2024,45(01):83-91.

[2] 林家栋,秦方博,刘彬博,等.基于VR技术的开关柜倒闸操作实训系统设计[J].微型电脑应用,2024,40(05):9-12.

[3] 刘嘉欣,于浩,莫中岳.高压开关柜局部放电故障缺陷诊断技术分析[J].机械设计与制造工程,2022,51(10):97-100.

[4] 何明,佘乐欣,严铿博,等.基于改进深度学习的开关柜局部放电检测与故障识别[J].微型电脑应用,2024,40(01):123-126.

[5] 孙澄宇.基于PHM技术的智能开关柜监测及诊断系统的平台设计[J].电测与仪表,2015,52(24):112-120.

[6] 虞金花,章国宝.一种智能开关柜监控系统高效数据传输控制方法[J].工业控制计算机,2014,27(09):44-45+47.

[7] 何章玮.电力设备状态监测数据融合算法分析[J].能源与环保,2022,44(05):162-167.

[8] 柴西林,张婧,邵照勇,等.基于无线传感网及边缘网关的智慧农业大棚监控系统设计[J].工业仪表与自动化装置,2024(01):13-17+33.

[9] 胡凯波,许林波,夏志凌.基于ZigBee技术高压开关柜温度在线监测系统研究[J].自动化与仪表,2020,35(02):100-103+108.

[10] 王玟婕,蔡立涛,蔡钰戴,等.基于DV-Hop的大规模WSN定位方法研究[J].物联网技术,2024,14(03):20-23+29.

[11] 李云鹏.基于APIT的无线传感器网络混合定位算法[J].计算机系统应用,2021,30(10):254-258.

[12] 张露,范伟,韩双霞,等.WSN中基于MDS-MAP的分布式定位算法设计与实现[J].计算机与数字工程,2013,41(06):876-879.

[13] 李祝红,杨安东,赵灿明,等.基于GA-TS优化Amorphous算法的无线传感网络定位[J].电气自动化,2020,42(05):105-108.

[14] 姚震.基于红外技术的开关柜电气接头温度监测系统[J].工业仪表与自动化装置,2021(01):23-25+47.

备注/Memo:: 收稿日期：2024-06-14第一作者：蒋池剑（1978—），男，汉族，浙江富阳人，本科，高级工程师，主要从事抽水蓄能运维管理工作。E-mail：jiana49291954@163.com.

更新日期/Last Update: 1900-01-01