传感器与微系统2024,Vol.43Issue(8) :160-164.DOI:10.13873/J.1000-9787(2024)08-0160-05

应用于光纤的高压隔离开关状态识别技术

High-voltage disconnector status recognition technology applied to optical fiber

袁伟 赵玉凯 李杨 龚玉辛 张勇 周宏森
传感器与微系统2024,Vol.43Issue(8) :160-164.DOI:10.13873/J.1000-9787(2024)08-0160-05

应用于光纤的高压隔离开关状态识别技术

High-voltage disconnector status recognition technology applied to optical fiber

袁伟 1赵玉凯 1李杨 1龚玉辛 1张勇 2周宏森3
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作者信息

  • 1. 云南电网有限责任公司玉溪供电局,云南玉溪653100
  • 2. 国家电网有限公司国网直流技术中心,北京100052
  • 3. 电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系),北京100084
  • 折叠

摘要

为了解决传统高压隔离开关状态检测方法中无法直接获取分合闸状态的问题,设计了一种应用于光纤的高压隔离开关角度测量传感器,通过最小二乘法,对传感器的输入输出特性曲线进行拟合,采用曲线拟合法进行非线性补偿,以降低传感器的非线性误差.并建立了基于二元回归分析的温度补偿模型对传感器进行温度补偿.实验结果表明:采用曲线拟合法进行非线性补偿后,传感器的非线性误差从15.7%降至5.7%.进行温度补偿后的零位温度系数降低了近3倍,灵敏度温度系数降低了9倍以上,相对误差降低了4.52个百分点,且传感器的平均绝对误差为0.49%,满足设计需求.

Abstract

In order to solve the problem that the opening and closing state cannot be directly obtained in the traditional high-voltage disconnector state detection method,a high-voltage disconnector angle measurement sensor applied to optical fiber is designed.The input and output characteristic curves of the sensor are fitted by the least squares method,and the curve fitting method is used for nonlinear compensation to reduce the nonlinear error of the sensor.A temperature compensation model based on binary regression analysis is established for temperature compensation.The experimental results show that the nonlinear error of the sensor is reduced from 15.7% to 5.7% after nonlinear compensation by using the curve fitting method.After temperature compensation,the zero temperature coefficient is reduced by nearly 3 times,the sensitivity temperature coefficient is reduced by more than 9 times,the relative error is reduced by 4.52 percentage points,and the average absolute error of the sensor is 0.49%,which meet the design needs.

关键词

高压隔离开关/反射式光纤角度传感器/最小二乘法/曲线拟合

Key words

high voltage disconnector/reflective fiber-optic angle sensor/least squares method/curve fitting

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基金项目

国家自然科学基金(52007093)

出版年

2024
传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
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