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Prediction of Dielectric Properties of Air Plasma for Circuit Breaker Application Based on a Chemically Non-equilibrium Model

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Abstract

Dielectric properties of air plasma in a model circuit break were investigated. A chemically non-equilibrium (non-CE) model was used to simulate the arc dynamic behavior inside the nozzle during current zero period. Distribution of the critical breakdown electric field Ecr of hot air was derived from the electron energy distribution function by solving the Boltzmann transport equation, using calculated temperature, pressure and species composition. Then, the electric field at applied recovery voltage (Ea) was calculated. The probability of dielectric breakdown inside the nozzle can be predicted by comparing Ea and Ecr. The results show that neglect of departure from chemical equilibrium may lead to the overestimation of the dielectric recovery strength of circuit breaker arc during the first several hundred microseconds after current zero.

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Acknowledgements

This work was supported by the National Basic Research Program of China (973 Program) 2015CB251002, the Science Fund for Creative Research Groups of the National Natural Science Foundation of China 51521065, the National Natural Science Foundation of China 51577145, the Fundamental Research Funds for the Central Universities, and Shaanxi Province Natural Science Foundation 2013JM-7010.

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Authors and Affiliations

  1. State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, Xi’an, 710049, China

    Yi Wu, Hantian Zhang, Fei Yang & Hao Sun

  2. State Key Laboratory of HVDC, Electric Power Research Institute, China Southern Power Grid, Guangzhou, 510080, China

    Bing Luo, Tianwei Li & Li Tang

Authors
  1. Yi Wu
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  2. Hantian Zhang
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  3. Bing Luo
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  4. Fei Yang
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  6. Tianwei Li
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  7. Li Tang
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Correspondence to Fei Yang.

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Wu, Y., Zhang, H., Luo, B. et al. Prediction of Dielectric Properties of Air Plasma for Circuit Breaker Application Based on a Chemically Non-equilibrium Model. Plasma Chem Plasma Process 37, 1051–1068 (2017). https://doi.org/10.1007/s11090-017-9796-8

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