LOW VOLTAGE APPARATUS ›› 2025, Vol. 0 ›› Issue (5): 25-33.doi: 10.16628/j.cnki.2095-8188.2025.05.004

• Research & Analysis • Previous Articles     Next Articles

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

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

CLC Number: