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首页> 外文期刊>Electric power systems research >Probabilistic evaluation of the substation performance under incoming lightning surges
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Probabilistic evaluation of the substation performance under incoming lightning surges

机译：闪电浪涌对变电站性能的概率评估

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In the present work, a statistical method based on Monte Carlo technique for evaluating lightning performance of a complete air insulation substation (AIS) using the capability of simulation tools is presented. This technique has been coded in MATLAB and linked to EMTP/ATP program to perform the network simulations. The parallel computing feature of MATLAB is used to accelerate the solution procedure. The paper presents the modelling of the substation equipments and connected lines. In particular, a modified IEEE recommended model of the surge arrester having its parameters obtained from genetic algorithm optimisation program is used. The simulations are carried out considering several protection scenarios. It is corroborated that the installation of metal oxide surge arresters (MOSA) at line input and in the vicinity of the autotransformer gives an acceptable mean time between failures (MTBF) at different points in the substation and then provides an adequate protection. The adopted approach has permitted a more accurate prediction of the overvoltages at different points in the substation and significantly reduces the CPU run time of the overall solution process.
机译：在目前的工作中，提出了一种基于蒙特卡洛技术的统计方法，用于使用模拟工具的能力来评估完整的空气绝缘变电站（AIS）的雷电性能。该技术已在MATLAB中进行了编码，并链接到EMTP / ATP程序以执行网络仿真。 MATLAB的并行计算功能用于加速求解过程。本文介绍了变电站设备和连接线路的建模。特别地，使用具有从遗传算法优化程序获得的参数的电涌放电器的改进的IEEE推荐模型。考虑几种保护方案来进行仿真。可以肯定的是，在线路输入处和自耦变压器附近安装金属氧化物电涌放电器（MOSA），可以在变电站中的不同点提供可接受的平均故障间隔时间（MTBF），然后提供足够的保护。所采用的方法允许更准确地预测变电站中不同点的过电压，并显着减少整个解决方案过程的CPU运行时间。

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