Wind Reliability of Transmission Line Models using Kriging-Based Methods
Wind Reliability of Transmission Line Models using Kriging-Based Methods
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DOI：
10.22725/icasp13.211
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Y. Darestani;Zeyu Wang;A. Shafieezadeh
中科院分区：
文献类型：
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作者：
Y. Darestani;Zeyu Wang;A. Shafieezadeh
针对强风的输电系统的风险评估需要能够准确表示物理基础设施的实际性能的模型。捕捉材料非线性，塔中的p-δ效应，格构元件的屈曲，接头滑移和接头失效需要非线性模型。为此，本研究探讨输电线路系统的可靠性，利用非线性模型的钢格构塔，在OpenSEES平台上生成。该模型能够考虑前面提到的各种几何和材料非线性。为了有效地估计输电线路的故障概率，目前的研究采用了先进的可靠性方法，通过基于误差率的自适应克里格（REAK）的作者提出的。与传统的蒙特卡罗方法相比，该方法能够显著减少模拟次数，从而可以在合理的时间内完成可靠性分析。结果表明，REAK有效地估计输电线路的可靠性，最多150个有限元模拟不同的风强度。
Risk assessment of power transmission systems against strong winds requires models that can accurately represent the realistic performance of the physical infrastructure. Capturing material nonlinearity, p-delta effects in towers, buckling of lattice elements, joint slippage, and joint failure requires nonlinear models. For this purpose, this study investigates the reliability of transmission line systems by utilizing a nonlinear model of steel lattice towers, generated in OpenSEES platform. This model is capable of considering various geometric and material nonlinearities mentioned earlier. In order to efficiently estimate the probability of failure of transmission lines, the current study adopts an advanced reliability method through Error rate-based Adaptive Kriging (REAK) proposed by the authors. This method is capable of significantly reducing the number of simulations compared to conventional Monte Carlo methods such that reliability analysis can be done within a reasonable time. Results indicate that REAK efficiently estimates the reliability of transmission lines with a maximum of 150 Finite Element simulations for various wind intensities.