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2026, 03, v.42 75-79
基于光纤光栅传感器的GIL设备膨胀位移监测
基金项目(Foundation): 广东电网有限责任公司科技项目(GDKJXM20220847)
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摘要:

常规气体绝缘金属封闭输电线路(GIL)设备的膨胀位移监测方法主要依托随机森林算法,由于无法准确计算设备电流中倍频成分的含量大小,膨胀位移监测精度较低。为此,提出基于光纤光栅传感器的GIL设备膨胀位移监测方法。根据GIL设备的基本组成单元结构,分析设备的模态特性与机械振动特性,建立GIL设备结构的数学模型。引入奇偶次响应比确定电流中倍频成分的含量大小,结合不同负载电流下母线的振动图谱计算设备的负载电流变化量,以此为依据,采用光纤光栅传感器对设备的位移进行仿射变换,进而确定设备膨胀位移量。实验结果表明,所提出的方法能够准确地监测GIL设备膨胀位移,监测精度较高。

Abstract:

The conventional gas-insulated metal-enclosed transmission line(GIL) equipment expansion displacement monitoring method mainly relies on the random forest algorithm. Due to the inability of accurately calculation in the content of the frequency doubling component in the equipment current, the accuracy of expansion displacement monitoring is low. Therefore, a GIL equipment expansion displacement monitoring method based on fiber bragg grating sensors is proposed. Based on the basic unit structure of GIL equipment, the modal characteristics and mechanical vibration characteristics of the equipment are analyzed. A mathematical model of the GIL equipment structure is established. Odd-even response ratio is introduced to determine the content of the frequency doubling component in the current, and the load current variation of the equipment is calculated by combining the vibration spectra of the busbar under different load currents. Based on this, fiber bragg grating sensors are used to perform affine transformation on the displacement of the equipment, and then the expansion displacement of the equipment is determined. The experimental results show that the proposed method can accurately monitor the expansion displacement of GIL equipment, with high monitoring accuracy.

参考文献

[1] 张春涛,秦臻,白昀,等.基于物联网的GIL综合管廊自动化变形监测系统研究与应用[J].测绘地理信息,2022,47(S1):44-48.

[2] 张睆曦,朱琳.基于无线通信技术的智能输电线路在线监测技术研究[J].通信电源技术,2022,39(18):118-120.

[3] 许冰,李斌,陈世海,等.基于深度学习的GIS局部放电故障诊断技术研究[J].微型电脑应用,2023,39(8):118-121.

[4] 汪杨凯,许悦,许涛,等.云边协同框架下结合深度学习与随机森林的电力设备识别[J].微型电脑应用,2023,39(8):106-110.

[5] 沈茂军.机电安装中GIS设备安装与调试技术及质量控制措施[J].造纸装备及材料,2023,52(1):44-46.

[6] 屈斌,张佳成,张昭宇,等.GIS设备非电接触松动缺陷的振动试验研究与特性分析[J].高压电器,2023,59(8):136-145.

[7] 周延科,张素慧,李军,等.GIS设备中CT接线座开裂失效分析[J].电力安全技术,2023,25(7):28-30.

[8] 杨为,朱太云,任汀,等.GIS设备用表带触指电连接结构接触电阻的分形理论计算与分析[J].工程科学与技术,2023,55(4):11-20.

[9] 郑恺.500 kV静安站3号主变扩建工程及其GIS设备的安装与调试[J].光源与照明,2022(5):137-139.

[10] 李伟铭,董建筠,朱汝铭.局部放电特高频检测在GIS设备维护中的应用[J].机电工程技术,2023,52(8):261-265.

[11] 彭炜文,沈谢林,钱渊泉,等.GIS设备潜伏性故障识别与诊断研究[J].东北电力技术,2023,44(8):51-55.

[12] 欧阳德刚,张家瑞,罗浪,等.高压变电站GIS设备SF6在线监测系统分析[J].电子技术,2023,52(6):250-251.

[13] 陈文瑞,边昌盛.132 kV Siemens GIS设备缺陷定位及检修策略研究[J].电气技术与经济,2023(4):141-145.

[14] 李辰,马颖珊,孙彦彬,等.基于VDI2230标准的GIS设备搬运平台螺栓连接强度分析[J].起重运输机械,2023(10):53-58.

[15] 祝贺,李志雷,李国超,等.变电站GIS设备可视化运维闭环控制系统研究与应用[J].自动化技术与应用,2023,42(4):29-32.

基本信息:

中图分类号:TM75;TP212

引用信息:

[1]邱时严,陈文鸿,杜文娇,等.基于光纤光栅传感器的GIL设备膨胀位移监测[J].微型电脑应用,2026,42(03):75-79.

基金信息:

广东电网有限责任公司科技项目(GDKJXM20220847)

发布时间:

2026-03-20

出版时间:

2026-03-20

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