Improved Multi-Conductor Interactive Rejection for Current Measurement with Magnetic Sensors Array

Haoyang Fan, Qixing Huang, Zhenyuan Zhang, Shi Jing, Xihao Zhao, Muyao He
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Abstract

In power systems, the emerging high-performance magnetoresistive sensor has been increasingly applied in measurement, protection, fault identification, and many other scenarios because of its high sensitivity, small size, and high bandwidth. Current measurement is one of the essential areas where the magnetic effect of current allows magnetic field sensors array to restore information about the characteristics of the power system. Nevertheless, in the parallel multi-conductor current measurement scenarios, sensors usually get interactive interference from neighboring currents, which significantly affects the measurement accuracy. This paper proposes an improved method for interactive rejection. In the new method, the inferior current measurement is utilized to eliminate the interactive interference and update current estimation by emulating the magnetic field. Compared to the traditional method, the new method improves the accuracy without any hardware change. In the numerical simulation, the mean absolute error of 29 A caused by crosstalk is reduced to 0.00068 A in a 3000 A three-phase system. In the laboratory experiments, the proposed strategy significantly reduces the mean absolute error of the three phases by 26%, 74%, and 40%, respectively.
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磁传感器阵列电流测量的改进多导体交互抑制
在电力系统中,新兴的高性能磁阻传感器以其高灵敏度、小体积、高带宽等优点,越来越多地应用于测量、保护、故障识别等领域。电流测量是一个重要的领域,其中电流的磁效应允许磁场传感器阵列恢复有关电力系统特性的信息。然而,在并联多导体电流测量场景中,传感器通常会受到邻近电流的交互干扰,严重影响测量精度。本文提出了一种改进的交互拒绝方法。在新方法中,利用次电流测量消除相互干扰,并通过模拟磁场来更新电流估计。与传统方法相比,该方法在不改变硬件的情况下提高了精度。在数值模拟中,在3000a三相系统中,由串扰引起的29a的平均绝对误差减小到0.00068 A。在实验室实验中,提出的策略显著降低了三个阶段的平均绝对误差,分别降低了26%、74%和40%。
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