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作 者:周文俊[1,2] 邱睿 郑宇 Pascal Brault Zhou Wenjun;Qiu Rui;Zheng Yu;Pascal Brault(State Key Laboratory of Power Grid Environmental Protection Wuhan University Wuhan 430072,China;School of Electrical Engineering and Automation Wuhan University Wuhan 430072,China;GREMI CNRS-Universitéd’Orléans Orléans 45067,France)
机构地区:[1]电网环境保护全国重点实验室(武汉大学),武汉430072 [2]武汉大学电气与自动化学院,武汉430072 [3]法国国家科学研究中心-奥尔良大学GREMI实验室,奥尔良45067
出 处:《电工技术学报》2023年第S01期214-221,共8页Transactions of China Electrotechnical Society
基 金:国家重点研发计划项目(2021YFB2401400);国家留学基金委项目(202106270080);智能电网联合基金项目(U1966211)资助。
摘 要:为明确各类气体介电强度预测方法的准确性,基于9种气体(N_(2)、CO_(2)、N_(2)O、CF_(4)、SO_(2)F_(2)、c-C_(4)F_(8)、C_(3)F_(8)、C_5F_(10O)和C_(4)F_(7)N)在50 Hz工频交流电场下测得的相对介电强度对5种预测方法进行了评估。结果表明,各方法预测准确性与其给出的可决系数R~2不一致。这主要与其使用的样本数据测试条件不统一、同一气体的相对介电强度不一致有关。当修正上述问题后,各方法准确性得到提升,并与其R~2相符。分子参数的丰富和放电理论的介入可使预测方法准确性提升。使用样本外气体进行验证的方法,其预测结果在修正前后都具有较高的准确性;使用基团贡献法的预测方法也具有上述特性。通过上述评估结果可知,样本中的气体数据需在统一条件下获得,并根据试验条件和样本分子特征确定预测方法的适用范围。放电理论、分子几何特征和新分子参数的引入有助于提高预测模型的准确性。模型验证和基团贡献法可提高预测方法对样本数据的包容性。SF_(6)has a strong greenhouse effect,with a global warming potential(GWP)of 23500.It needed to be alternated urgently.Gas dielectric strength prediction methods could quickly give the dielectric strength based on molecular parameters.The existing prediction methods are various.They use different parameters and discharge theories.The fitting samples they used were from different test conditions.That would lead to uniform dielectric strengths for the same gas in each perdition method.This paper evaluated the existing prediction methods to clarify the impact of the abovementioned factors on accuracy and reliability.According to the parameters and model forms,five prediction methods with typical characteristics were selected.Method 1 used linear models of molecular polarization characteristics and ionization,adsorption energy,and other parameters.Method 2 added molecular geometric characteristics.Method 3 was based on the method 2 adding molecular symmetry factors,and the model is no linearized considering the discharge theory.Method 4 was a linear model using general interaction properties function(GIPF)parameters.Method 5 was the group contribution method.Nine frequently occurring gases(N_(2),CO_(2),N_(2)O,CF_(4),SO_(2)F_(2),c-C_(4)F_(8),C_(3)F_(8),C_(5)F_(10O),and C_(4)F_(7)N)were selected to evaluate the prediction method.The relative dielectric strengths of nine gases relative to SF_(6)were tested under the same conditions(50 Hz alternative current uniform electric field).The results show that the prediction accuracy of each method was lower than the fitting results given in their papers.That was because the test conditions of the gases used in each prediction method were not uniform,and the relative dielectric strength of the gases used was inconsistent.Some gases’dielectric strength had significant difference with the test data in this paper.The unification of gas dielectric strength based the test results in this paper could improve the accuracy of methods and the predication results of 5 methods could be c
关 键 词:环保绝缘气体 介电强度预测 构效关系(QSPR) 气体绝缘输电管道(GIL)
分 类 号:TM85[电气工程—高电压与绝缘技术]
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