基于优化模型的直流电缆雷电冲击电压试验波形参数控制

发布时间：2018-10-22 13:00

【摘要】：雷电冲击试验中的直流电缆为大电容试品,试验回路中电感对冲击波形的影响不可忽略,冲击电压发生器电阻参数设置不当将会导致波形过冲和振荡,为此提出一种基于优化模型的雷电冲击电压试验波形参数控制方法。首先,对试验回路进行理论推导,并分析波前时间和过冲率之间的关系,在此基础上引入一个可用于表征波形过冲率的变量Δ_m;其次,以波前时间最小为目标函数,通过限制Δ_m的数值对波形过冲率进行约束,建立电阻参数优化模型;最后,设置不同的Δ_m对模型进行求解,并通过仿真计算和实际试验验证其有效性。结果表明,随着Δ_m设置值的增加,过冲率呈上升趋势,波前时间呈下降趋势,优化模型能够对波形参数进行有效控制。为确定Δ_m的合理设置范围,研究了不同试品电容、不同回路电感下Δ_m设置值对过冲率、波前时间的影响。结果表明,Δ_m取值为0.9~1时,能够保证波形过冲率不超过标准规定的10%。
[Abstract]:The DC cable in the lightning shock test is a large capacitance test. The influence of inductance on the shock wave shape can not be ignored in the test loop. The improper setting of the resistance parameters of the impulse voltage generator will lead to the waveform overshoot and oscillation. In this paper, an optimal model based waveform parameter control method for lightning impulse voltage test is proposed. First, the experimental circuit is theoretically deduced, and the relationship between wavefront time and overshoot ratio is analyzed. On this basis, a variable 螖 _ m which can be used to characterize the waveform overshoot rate is introduced. Secondly, the minimum wavefront time is taken as the objective function. Through limiting the value of 螖 _ m, the waveform overshoot rate is constrained, and the resistance parameter optimization model is established. Finally, different 螖 _ m is set up to solve the model, and the validity of the model is verified by simulation and practical experiments. The results show that with the increase of 螖 _ m, the overshoot rate increases and the wavefront time decreases. The optimized model can effectively control the waveform parameters. In order to determine the reasonable setting range of 螖 _ m, the effects of the values of 螖 _ m on overshoot rate and wave front time under different capacitance and different loop inductance were studied. The results show that when 螖 _ m is taken from 0.9 ~ 1, the waveform overshoot rate can be guaranteed to not exceed the 10 ~ (th) specified in the standard.
【作者单位】：国网浙江省电力公司舟山供电公司;浙江舟山海洋输电研究院有限公司;
【基金】：国网浙江省电力公司科技项目(5211ZS1500GD) 国家重点研发计划(2016YFB0900705) 国家电网公司科技项目(5211011600LF)资助
【分类号】：TM83

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