In this paper, the optimization of transmission insulation and grounding is performed considering two backflashover rate (BFR) evaluation procedures widely applied in the industry. The optimization approach is based on the Lagrange formulation introduced by Hileman in late sixties. This method used the old AIEE procedure to evaluate the BFR of transmission lines. Since then a number of BFR evaluation are available to determine BFR rates outperforming legacy procedures. Recently, the Hileman’s optimization method was updated using the EPRI two-point method to evaluate the BFR. However, despite the step-by-step EPRI method being still widely used in industry, stochastic simulation with specialized programs is becoming standard. Thus, in this paper, the insulation and grounding optimization methodology is updated using more adequate and recent BFR evaluation procedures such as the IEEE Std. 1243-97 and the Monte Carlo EMTP-based methods. Technical and economic results were compared with the existing optimization approach based on the EPRI two-point method using the EPRI 345 kV transmission line as test system. Results show that IEEE and EPRI methods yield equivalent results. The stochastic-based method (MC-EMTP) is more optimistic showing total and marginal insulation and grounding costs below the IEEE/EPRI methods.

在本文中，考虑到两个在行业中广泛应用的反闪率（BFR）评估程序，对传输绝缘和接地进行了优化。优化方法基于Hileman在六十年代后期提出的Lagrange公式。该方法使用旧的AIEE程序来评估传输线的BFR。从那时起，许多BFR评估可用来确定BFR率优于传统程序。最近，使用EPRI两点法更新了Hileman优化方法以评估BFR。但是，尽管逐步EPRI方法仍在工业中广泛使用，但是具有专用程序的随机仿真已成为标准。因此，在本文中，绝缘和接地最优化方法已使用更充分和最新的BFR评估程序（如IEEE标准）进行了更新。1243-97和基于蒙特卡洛EMTP的方法。将技术和经济结果与以EPRI 345 kV输电线路作为测试系统，基于EPRI两点法的现有优化方法进行了比较。结果表明，IEEE和EPRI方法产生的结果相同。基于随机的方法（MC-EMTP）更乐观，显示出低于IEEE / EPRI方法的总和边际绝缘和接地成本。结果表明，IEEE和EPRI方法产生的结果相同。基于随机的方法（MC-EMTP）更乐观，显示出低于IEEE / EPRI方法的总和边际绝缘和接地成本。结果表明，IEEE和EPRI方法产生的结果相同。基于随机的方法（MC-EMTP）更乐观，显示出低于IEEE / EPRI方法的总和边际绝缘和接地成本。