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A network asset based probabilistic model of ground potential rise and touch voltage hazard profiles at MV substations

机译：基于网络资产基于MV变电站的地电位上升和触摸电压危险谱的概率模型

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摘要

A probabilistic model for predicting the expected touch voltage hazard profiles at HV/MV substations is presented. The model uses readily available asset information to analyse the MV network fed from the HV/MV substation. Probabilistic profiling of the expected magnitude, frequency and duration of typical ground faults on a given distribution network, provides quantitative information for use in determining the actual risk profile for the assets. This in turn helps asset owners demonstrate that they meet their duty of care in relation to ground fault related hazards. The model is applied to two example substations, generating a probabilistic profile for ground fault current, ground potential rise and the expected hazard ratio of expected touch voltages in relation to IEEE80 safety criteria across the range of simulated faults. The model output profiles for each HV/MV substation are then compared against profiles derived from seven years of recorded ground potential rise events during real ground faults.
机译：提出了一种用于预测HV / MV变电站预期触摸电压危险轮廓的概率模型。该模型使用易于获得的资产信息来分析来自HV / MV变电站的MV网络。给定分配网络上的典型接地故障的预期幅度，频率和持续时间的概率分析提供了用于确定资产的实际风险配置的定量信息。这反过来帮助资产业主证明他们与接地故障相关的危害相关的关怀履行义务。该模型应用于两个示例变电站，产生用于接地故障电流，接地电位上升和预期触摸电压的预期触摸比在模拟故障范围内的预期触摸电压的预期危险比。然后将每个HV / MV变电站的模型输出轮廓与在真正的接地故障期间七年历史的地面潜在上升事件中获得的曲线进行比较。

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