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Reliability assessment in electrical power systems: the weibull-Markov stochastic model

机译:电力系统的可靠性评估:Weibull-Markov随机模型

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The field of power system reliability is dominated by the use of homogeneous Markov models. The negative exponential distributions in these models, however, are unrealistic in the case of repair or switching times. The use of homogeneous Markovmodels is often justified by arguing that the use of other models makes it impossible to perform analytical or non-sequential calculations. A special kind of semi-Markov model is proposed here which uses Weibull-distributions for all stochastic durations. The proposed model encloses the homogeneous Markov model as a subset, enables bell-shaped duration distributions and may be used in various analytical and non-sequential reliability assessment methods.
机译:电力系统可靠性领域由使用同类马尔可夫模型为主。然而,在修复或切换时间的情况下,这些模型中的负指数分布是不现实的。通过争论使用其他模型的使用使得不可能执行分析或非顺序计算,通常通过争辩使用均匀的Markovmodels。这里提出了一种特殊的半马尔可夫模型,它使用了所有随机持续时间的Weibull分布。所提出的模型将均质马尔可夫模型作为子集包装,使得钟形持续时间分布可以在各种分析和非顺序可靠性评估方法中使用。

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