Aspects of moisture ingress in polymer housed surge arresters

Silva, Daiana Antonio da; Lahti, Kari; Buontempo, Rodolfo Cardoso; Filho, José Pissolato

doi:10.1016/j.epsr.2017.03.025

Cited by 5 publications

(12 citation statements)

References 11 publications

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“…Let I (k) h denote the kth harmonic of the current I and the third-harmonic of the voltage produces a capacitive current component with the same frequency, which contributes greatly to the total third-harmonic current I (3) t . However, the total third-harmonic current I (3) t minus capacitive thirdharmonic current I (3) c and then the resistive third-harmonic current I (3) rh are generated by the MOA nonlinear resistance:…”

Section: E Leakage Current Measurement Of Moa Based On Harmonic Analysismentioning

confidence: 99%

Section: E Leakage Current Measurement Of Moa Based On Harmonic Analysismentioning

confidence: 99%

“…On the one hand, I (3) rh refers to the resistive third-harmonic current. e amplitude and phase angle of the current I (3) t are measured by the total leakage current I t at the grounding terminal of the MOA. On the other hand, I (3) c can be indirectly determined through the measurement of the electric field.…”

Section: E Leakage Current Measurement Of Moa Based On Harmonic Analysismentioning

confidence: 99%

“…e capacitive thirdharmonic current I (3) c can be determined by measuring the probe current I p located in the MOA electric field, and the third-harmonic probe current I (3) p can be acquired by the Fourier transform of I p . If the amplitude and phase angle of are related to I (3) c , the resistive third-harmonic current I (3) rh can be acquired according to equation (3). I (3) c mainly depends on the third-harmonic voltage of the phase where the MOA is located.…”

Section: Capacitive Harmonic Currentmentioning

confidence: 99%

“…e main reason for the faults of MOA is that the valve plate is damp or aged. e dampness of the valve plate of MOA is mainly caused by some objective factors [3]. Moisture slowly seeps into the MOA and makes it damp for a long time running.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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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