Enhanced Direct-Current Bias Detection Method Based on AC-Modulated Tunneling Magnetoresistive Sensor for Transformer-Based Renewable Energy Systems

Jingyi Liu, Chi Kwan Lee, Philip W.T. Pong

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Direct-current (dc) bias injection is a great threat to the safety of transformer-based renewable energy systems. It is imperative to measure the small dc bias embedded in the large alternating current (ac) fast and accurately. However, the most state-of-the-art dc bias measurement methods adopted sensors either with additional magnetic cores and windings or adopt low-pass filters (LPFs) with extremely low corner frequency, which limits the measurement performance in detection range, transient response time, and detection accuracy. In this article, an enhanced dc bias current measurement method is proposed based on the ac-modulated tunneling magnetoresistive (TMR) sensor. The proposal includes a small-size TMR sensor and a simple software extraction algorithm. Hardware-in-the-loop experiment based on the dSPACE real-time platform has been carried out to verify the effectiveness of the proposed method. Experimental results show that the proposed method has the merit of high robustness against measuring noise, a wide detection range from milliampere to ampere, a small detection error within 5%, and a fast result settling time within 32 ms.

Original languageEnglish (US)
Article number4400309
JournalIEEE Transactions on Magnetics
Volume59
Issue number10
DOIs
StatePublished - Oct 1 2023

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Keywords

  • Alternating current (ac) modulation
  • current measurement
  • renewable energy systems
  • tunneling magnetoresistance sensors

Fingerprint

Dive into the research topics of 'Enhanced Direct-Current Bias Detection Method Based on AC-Modulated Tunneling Magnetoresistive Sensor for Transformer-Based Renewable Energy Systems'. Together they form a unique fingerprint.

Cite this