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2023-05-12
Yang, Wendi, Zhang, Ming, Li, Chuan, Wang, Zutao, Xiao, Menghan, Li, Jiawei, Li, Dingchen, Zheng, Wei.  2022.  Influence of Magnetic Field on Corona Discharge Characteristics under Different Humidity Conditions. 2022 IEEE 3rd China International Youth Conference on Electrical Engineering (CIYCEE). :1–7.
The humidity in the air parameters has an impact on the characteristics of corona discharge, and the magnetic field also affects the electron movement of corona discharge. We build a constant humidity chamber and use a wire-mesh electrode device to study the effects of humidity and magnetic field on the discharge. The enhancement of the discharge by humidity is caused by the combination of water vapor molecules and ions generated by the discharge into hydrated ions. By building a “water flow channel” between the high voltage wire electrode and the ground mesh electrode, the ions can pass more smoothly, thereby enhanced discharge. The ions are subjected to the Lorentz force in the electromagnetic field environment, the motion state of the ions changes, and the larmor motion in the electromagnetic field increases the movement path, the collision between the gas molecules increases, and more charged particles are generated, which increases the discharge current. During the period, the electrons and ions generated by the ionization of the wire electrode leave the ionization zone faster, which reduces the inhibitory effect of the ion aggregation on the discharge and promotes the discharge.
2023-01-06
Zhang, Han, Luo, Xiaoxiao, Li, Yongfu, Sima, Wenxia, Yang, Ming.  2022.  A Digital Twin Based Fault Location Method for Transmission Lines Using the Recovery Information of Instrument Transformers. 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE). :1—4.
The parameters of transmission line vary with environmental and operating conditions, thus the paper proposes a digital twin-based transmission line model. Based on synchrophasor measurements from phasor measurement units, the proposed model can use the maximum likelihood estimation (MLE) to reduce uncertainty between the digital twin and its physical counterpart. A case study has been conducted in the paper to present the influence of the uncertainty in the measurements on the digital twin for the transmission line and analyze the effectiveness of the MLE method. The results show that the proposed digital twin-based model is effective in reducing the influence of the uncertainty in the measurements and improving the fault location accuracy.