Influence of Molecular Properties on the Electric Strength of Potential SF6 Substitutes

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Fan, Xiaopeng^1^2 ; Hai, Bin^3 ; Li, Li^1^2 ; Chen, She^3 ; Zhou, Yongyan^1^2 ; Tang, Nian^1^2 ; Wang, Feng^3 ; Zou, Zhuanglei^1^2

Electric Power Research Institute of Guangdong Power Grid Limited Liability Corporation, Guangzhou

510082, China^1

Sulfur Hexafluoride Key Lab of China Southern Power Grid, Guangzhou

510082, China^2

College of Electrical and Information Engineering, Hunan University, Changsha

410082, China^3

关键词: Calculation results;    Correlation coefficient;    Environmental requirement;    Influential factors;    Insulation performance;    Molecular properties;    Multivariate linear regressions;    Theoretical study;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032009/pdf
DOI  :  10.1088/1755-1315/252/3/032009

来源: IOP

【 摘 要 】

SF6 gas has been widely used in power industry owing to its excellent insulation performances. However, due to its significant greenhouse effects, many scholars have carried out experimental and theoretical studies to search for the SF6 substitutes. In order to find the promising replacement of the insulation gas SF6, the basic physico-chemical properties and electronegativity of CF-x, HFC and HFO gases, which satisfy the safety and environmental requirements, are calculated based on the density functional theory (DFT). Relative electric strengths of these insulating gases are calculated by solving the Boltzmann equation. The influence of the molecular properties on the electric strength are studied by linear regression analysis. The calculation results show that the correlation coefficients of the molecular mass and electron number relative to the electric strength are 0.678 and 0.692, respectively. Furthermore, the electric strength is increased with higher electronegativity of potential gases and the magnitude of the electric dipole moment and polarizability are related to the electric strength. The correlation coefficient between polarizability and electric strength is 0.647. Considering the potential influential factors on the electric strength, a prediction formula is established through multivariate linear regression. The Pearson's correlation between the calculated value and measured value is 0.948. Therefore, it can be used to predict the electric strength of the potential substituted gases when screening the enormous candidates of SF6.