In order to prevent power failures caused by atmospheric phenomena you need to identify where such phenomena occur and to explore the scale of impact thereof on individual elements of the power grid infrastructure. It is important to create IT systems which automate the process of evaluating the current state of the power line based on historical data. The paper presents the results of an extended analysis of historical meteorological data in order to investigate conditions favourable to the adhesion and accretion of icing on power lines, which is one of the most common causes of failures triggered by wet snow and freezing rain precipitation. An additional aim of the analysis was to detail and verify the prior research. To that end, the information retrieved and analysed measuring locations where the favourable conditions were investigated has been significantly increased. This article compares two ways of data processing for determining the conditions that lead to icing of power lines, i.e. an algorithm that takes into account the specific ambient temperature, wind velocity and type of precipitation (TWP) and the combined methods for determining wet snow and freezing rain precipitation based on an analysis of wet-bulb temperature and type of precipitation (WS+FR). Additionally, detailed analyses were presented of atmospheric conditions recorded in selected locations (Katowice, Kraków) during the occurrence of significant power failures.

为了防止由大气现象引起的电源故障，您需要确定发生这种现象的位置，并探讨其对电网基础设施各个组成部分的影响程度。创建IT系统以根据历史数据自动评估电力线当前状态的过程非常重要。本文介绍了对历史气象数据进行扩展分析的结果，以研究有利于电力线上结冰和粘附的条件，这是湿雪和冻雨降水引发故障的最常见原因之一。分析的另一个目的是详细说明和验证先前的研究。为此，检索和分析测量有利条件的测量位置的信息已大大增加。本文比较了两种数据处理方式，以确定导致电源线结冰的条件，即一种考虑了特定环境温度，风速和降水类型的算法（（TWP）以及基于湿球温度和降水类型（WS + FR）的分析确定湿雪和冻雨降水的组合方法。此外，还对发生重大停电期间选定位置（卡托维兹，克拉科夫）记录的大气条件进行了详细分析。