电器与能效管理技术 ›› 2025, Vol. 0 ›› Issue (5): 25-33.doi: 10.16628/j.cnki.2095-8188.2025.05.004

• 研究与分析 • 上一篇    下一篇

基于隧道磁阻效应的剩余电流检测方法研究

王庚环1, 陈威1,2, 许海波1,2   

  1. 1.全省低压电器智能化与新能源应用重点实验室(温州大学), 浙江 温州 325027
    2.温州大学 乐清工业研究院, 浙江 温州 325600
  • 收稿日期:2025-03-02 出版日期:2025-05-30 发布日期:2025-07-24
  • 作者简介:王庚环(1998—),男,硕士研究生,研究方向为磁调制式电流传感器。|陈威(1989—),男,博士,副研究员,研究方向为智能传感、永磁电机。|许海波(1987—),男,实验师,研究方向为电器智能化。
  • 基金资助:
    浙江省“尖兵领雁+X”研发攻关计划(2024C01153);温州市揭榜挂帅项目(ZG2023032)

Research on Residual Current Detection Method Based on Tunnel Magnetoresistance Effect

WANG Genghuan1, CHEN Wei1,2, XU Haibo1,2   

  1. 1. The Key Laboratory of Intelligent Low-voltage Apparatus and New Energy Application of Zhejiang Province,Wenzhou University, Wenzhou 325027, China
    2. Technology Institute of Wenzhou University in Yueqing, Wenzhou 325600, China
  • Received:2025-03-02 Online:2025-05-30 Published:2025-07-24

摘要:

剩余电流是电力系统的一个重要监测量。针对现有电磁电流互感器法、磁调制法等剩余电流检测方法在测量多种剩余电流时有一定缺陷,且在检测精度、灵敏度、零漂等性能方面各自存在不足,提出一种基于隧道磁阻效应的剩余电流检测方法。采用隧道磁阻传感器及平均值识别方法实现交流、脉动直流等多种典型剩余电流波形的测量与识别,利用建模仿真分析部分参数对测量的影响,并利用粒子群优化算法优化传感器部分参数的取值,提升传感器性能。经试验,测量精度达到5%,识别准确率达到97%。

关键词: 隧道磁阻效应, 剩余电流, 波形测量与识别, 粒子群优化算法

Abstract:

Residual current is an important monitoring parameter in power systems.Aiming at the certain defects existing in the residual current detection methods such as electromagnetic current transformer method and magnetic modulation method when measuring various residual currents,and the respective shortcomings in terms of detection accuracy,sensitivity,zero drift and other performance aspects,a residual current detection method based on the tunnel magnetoresistance effect is proposed.The tunnel magnetoresistive sensor and the average value recognition method are used to measure and identify the waveform of various typical residual currents such as AC and pulsating DC.The influence of some parameters on the measurement is analyzed by building a model and simulation,and the particle swarm optimization algorithm is used to optimize the values of some parameters of the sensor to improve the performance of the sensor.Through experiments,the measurement accuracy reaches 5% and the recognition accuracy reaches 97%.

Key words: tunnel magnetoresistance effect, residual current, waveform detection and recognition, particle swarm optimization (PSO) algorithm

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