具备跨区协同的接地线全流程管控系统研究

Abstract
Figure/Table
References
Related Citation (5)

Download: PDF (4671 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The grounding wire is an important equipment for ensuring the personal safety of power operators. Traditional grounding wire lacks informationization and intelligent management methods. There is no closed-loop management method for the extraction and return of grounding wire, which can easily lead to misconnection, no connection, and without returning, bringing huge risks to the safe and stable operation of the power grid. This article focuses on the Internet of Things (IoT) and intelligent transformation of grounding wire, grounding wire cabinet, and grounding pile. The design covers the full-process control system architecture covering the “cloud-network-edge-end”, and the full-process control system of grounding wire and intelligent monitoring device are developed. Through the method of edge IoT proxy cross regional collaboration, the consistency of the real-time status of grounding wire, grounding wire cabinet and grounding pile and business data between the security Ⅳ region and the Internet region is achieved. Based on cross regional collaboration of data, cross regional data collection and panoramic monitoring of grounding wire are achieved to ensure accurate grounding connection, improving the safety and work efficiency of on-site operators, and providing guarantees for the safe and stable operation of the power grid.

Key words： grounding wire edge Internet of Things (IoT) proxy cross regional collaboration cross regional data collection panoramic monitoring

Received: 12 August 2024

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	YANG Yingchun
	WANG Shaopeng
	ZHANG Hang
	WANG Kunpeng
	LI Chenyang

Cite this article:

YANG Yingchun,WANG Shaopeng,ZHANG Hang等. Research on the full process control system of grounding wire with cross regional collaboration[J]. Electrical Engineering, 2025, 26(1): 69-74.

URL:

https://dqjs.cesmedia.cn/EN/Y2025/V26/I1/69

[1] 林锦桐, 梁斌儒, 梁浩泉. 变电站接地线实时监控系统[J]. 重庆理工大学学报(自然科学), 2016, 30(10): 147-150.
[2] 李谦, 文习山. 基于安全性的大型接地网均压优化策略[J]. 高压电器, 2018, 54(6): 177-183.
[3] 王凯, 蔡炜, 邓雨荣, 等. 输电线路在线监测系统应用和管理平台[J]. 高电压技术, 2012, 38(5): 1274-1280.
[4] 郭腾云, 宋方方. 基于博弈方法的含源配电网状态检修优化[J]. 电测与仪表, 2019, 56(16): 97-103, 152.
[5] 刘昌帅, 董泽才, 冒文兵. 电力检修作业挂接地线可视化监测装置研究[J]. 电工技术, 2021(6): 66-67, 69.
[6] 张占龙, 李德文, 郭祥书, 等. 线路检修及接地线状态监视预警系统[J]. 电力系统自动化, 2009, 33(16): 112-115.
[7] 陈雷, 张改玲. 智能变电站微机五防闭锁装置优化方案研究[J]. 通讯世界, 2016(4): 195-196.
[8] 牟京亚, 李小来, 李海涛, 等. 输电接地线误挂漏拆主动防御及装置研制[J]. 电气开关, 2021, 59(5): 45-48.
[9] 李阎君, 张斌, 黄翰, 等. 基于蝠鲼觅食算法优化支持向量机的接地线定位方法[J]. 电工电能新技术, 2022, 41(12): 35-43.
[10] 胡新刚, 路新波, 赵延华, 等. 一种基于大电网停电检修的可视化监测装置[J]. 电气技术, 2019, 20(7): 70-73.
[11] 刘洋, 付晓东. 变电站接地引下线缺陷筛查方法与技术[J]. 电气技术, 2022, 23(1): 95-101.
[12] 周政, 苏振浩, 古雨铃. 基于UWB技术的智能接地线综合管理系统应用[J]. 农村电工, 2023, 31(8): 42.
[13] 郑宝敏, 黄琳妮, 殷林飞. 基于DSP和嵌入式Android系统的智能接地线检测装置的研制[J]. 广东电力, 2020, 33(11): 75-82.
[14] CHEW S H, TSENG K J.A line to ground fault detection technique for ELVDC distribution system in built environment[C]//2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Vancouver, BC, Canada, 2016.
[15] 王宾, 崔鑫, 董新洲. 配电线路弧光高阻故障检测技术综述[J]. 中国电机工程学报, 2020, 40(1): 96-107, 377.
[16] 蔡燕春, 董凯达, 张少凡, 等. 10kV配电线路高阻接地检测技术[J]. 广东电力, 2017, 30(10): 126-131.
[17] 周江华, 万山明, 闫文博, 等. 配电网柔性接地暂态过程分析与优化方法研究[J]. 高电压技术, 2019, 45(10): 3149-3156.
[18] 刘健, 芮骏, 张志华, 等. 智能接地配电系统[J]. 电力系统保护与控制, 2018, 46(8): 130-134.
[19] AURAN G, RAISON B, DESCLOUX J, et al.A novel pole-to-ground fault detection algorithm for meshed HVDC grids with half-bridge MMC converters and full recourse to DC circuit breakers[C]//13th Inter- national Conference on Development in Power System Protection 2016 (DPSP), Edinburgh, UK, 2016.
[20] 刘仁琪, 吕晓俊, 黄进, 等. 临时接地线综合管理系统的开发和应用[J]. 电力系统自动化, 2010, 34(22): 109-112.
[21] 孔英会, 万彩红, 李保罡, 等. 变电站作业现场接地线管控系统的后台软件设计[J]. 计算机测量与控制, 2014, 22(8): 2692-2694.
[22] 林永君, 马云龙, 刘卫亮, 等. 临时接地线综合管理系统研究与实现[J]. 电测与仪表, 2015, 52(23): 105-110.
[23] 许洁, 凌佳凯, 诸铭, 等. 基于物联网数据采集的携带型短路接地线监测系统研究[J]. 数据采集与处理, 2019, 34(6): 1071-1077.
[24] 肖勇, 钱斌, 蔡梓文, 等. 电力物联网终端非法无线通信链路检测方法[J]. 电工技术学报, 2020, 35(11): 2319-2327.
[25] 曲岳晗, 赵洪山, 程晶煜, 等. 基于物联感知数据和张量融合的电力变压器绕组绝缘劣化评估方法[J].电工技术学报, 2024, 39(4): 1208-1220.
[26] 李伟杰. 基于智能物联网的电池组群管护系统[J]. 电气技术, 2023, 24(2): 64-70.
[27] 王晓波, 韩东兴, 王东强. 基于边缘计算框架的电网基建智慧物联体系研究与实践[J]. 电气技术, 2022, 23(10): 96-103.
[28] 王洪亮, 束洪春, 周洁. 物联网环境下变电站信号可并行识别的改进帧时隙ALOHA算法[J]. 电工技术学报, 2020, 35(23): 4912-4919.
[29] 黄彦钦, 余浩, 尹钧毅, 等. 电力物联网数据传输方案: 现状与基于5G技术的展望[J]. 电工技术学报, 2021, 36(17): 3581-3593.
[30] 雷蓓, 查笑春, 蒋宗敏, 等. 基于SpringBoot的智慧变电站监测及诊断系统[J]. 电气技术, 2021, 22(9): 56-62.
[31] 王晓辉, 吴斌, 戴明, 等. 一种带电报警型接地线的研究与设计[J]. 电气技术, 2017, 18(8): 51-55.