Experimental Research on Over-Range Measurement Method Based on Quasi-Digital Direct-Current Leakage Current Sensor

Luo, Ning; Yang, Feng; Zhang, Yao; Li, Shaoli

doi:10.1109/access.2021.3064058

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…ere have been many sensors studied for current measurement. In [5], a quasidigital flux gate sensor was designed based on the duty-ratio model, and the mathematical model between the excitation voltage period and the measured current, which exceeded the measurement range, was built by analyzing the working principles of the duty-ratio model digital sensor. In [6], the authors presented an innovative common-mode current sensor node for the insulation monitoring framework of power distribution systems based on magnetic field analysis.…”

Section: Related Workmentioning

confidence: 99%

Leakage Current Sensor and Neural Network for MOA Monitoring

He¹,

Li²,

Zhang³

et al. 2022

Computational Intelligence and Neuroscience

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Metal-oxide arrester (MOA) has been widely used in electric power systems. The leakage current monitoring of MOA can not only detect the MOA’s running state continuously and intelligently but also reduce the unexpected outage of the equipment, which is also beneficial to the stability of the grid. The MOA loses its protection function due to various faults caused by excessive leakage current in actual running. This article studies the monitoring method of MOA based on leakage current sensor and back propagation (BP) neural network. At first, we design a novel leakage current sensor to acquire the leakage current of MOA. Then, the leakage current measurement of MOA based on harmonic analysis is proposed. Finally, the strong training ability of the BP neural network is used to train some key parameters that can reflect the aging of MOA so as to monitor the MOA state. The experimental results show that the leakage current acquired from the simulation is close to the actual leakage current that needs to be measured. It is also shown that the proposed method has good anti-interference and can effectively monitor the aging of MOA. Through the training of the BP neural network, the experiments prove that the training method in this article is superior to other neural network training methods obviously.

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Section: Related Workmentioning

confidence: 99%

Leakage Current Sensor and Neural Network for MOA Monitoring

He¹,

Li²,

Zhang³

et al. 2022

Computational Intelligence and Neuroscience

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show abstract

“…At the same time, the magnetic permeability of the core air gap differs greatly from that of other parts, resulting in a large eccentricity error of the sensor [18], which is also not suitable for residual current measurement. The measurement accuracy of DC residual current sensors, based on the fluxgate principle, is reported to reach up to 0.1% [19] [20]. However, these sensors are limited in terms of their measurement bandwidth.…”

Section: Introductionmentioning

confidence: 99%

A Wideband Closed-Loop Residual Current Sensor Based on Self-Oscillating Fluxgate

Ding,

Wang,

et al. 2023

IEEE Access

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The increasing switching frequency of inverters in new electric power technology causes leakage currents at tens or even hundreds of kHz, exceeding the measurement frequency range of conventional AC residual current sensors. In addition, the cost of residual current sensors developed specifically for DC is high, limiting further application promotion. Hence, this paper focuses on designing a wideband closed-loop residual current sensor based on self-excited oscillation fluxgate, which outperforms ordinary measurement methods. The sensor is developed through the optimization of demodulation circuits, and the increase of AC windings and the construction of excitation voltage regulating circuits. The DC residual current measurement accuracy of the sensor is better than 0.2%. The standard deviation of zero-point change is 0.0046 mA. The introduction of this innovative sensor not only enables precise and stable measurement of residual currents but also facilitates current monitoring in high-frequency applications. It can be fully applied in the field of power technology and will promote the development of efficient and reliable power systems.

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Topology Optimization and Magnetic Field Calculations of Magnetic Shield Structure of Microcurrent Sensor

Li,

Yin,

et al. 2024

2024 6th Asia Energy and Electrical Engineering Symposium (AEEES)

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Experimental Research on Over-Range Measurement Method Based on Quasi-Digital Direct-Current Leakage Current Sensor

Cited by 5 publications

References 16 publications

Leakage Current Sensor and Neural Network for MOA Monitoring

Leakage Current Sensor and Neural Network for MOA Monitoring

A Wideband Closed-Loop Residual Current Sensor Based on Self-Oscillating Fluxgate

Topology Optimization and Magnetic Field Calculations of Magnetic Shield Structure of Microcurrent Sensor

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