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首页> 外文期刊>IEEE Transactions on Power Systems >Semi-Markov Processes for power system reliability assessment with application to uninterruptible power supply
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Semi-Markov Processes for power system reliability assessment with application to uninterruptible power supply

机译：电力系统可靠性评估的半马尔可夫过程及其在不间断电源中的应用

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摘要

We propose a state space model for electrical power systems made by independent semi-Markov components, in which restoration times can have a nonexponential distribution, thus obtaining a more realistic reliability characterization, especially regarding the outage duration distribution. We also propose a model for an energy storage unit, assuming that the storage is fully charged when it begins to deliver power. An approximate analytical evaluation based on the minimal cut sets for the outage allows to surmount the shortcomings of the Monte Carlo approach. The application of the model for an uninterruptible power supply (UPS) system shows that the autonomy of the storage plays a key role, not only for the frequency of the load point voltage failures, but also for their duration distribution.
机译：我们提出了一个由独立的半马尔可夫组件构成的电力系统状态空间模型，其中恢复时间可以具有非指数分布，从而获得更现实的可靠性特征，尤其是在停电持续时间分布方面。我们还为储能单元提出了一个模型，假设储能器在开始供电时已充满电。基于中断的最小割集的近似分析评估可以克服蒙特卡洛方法的缺点。该模型在不间断电源（UPS）系统中的应用表明，存储的自主性不仅对负载点电压故障的频率而且对持续时间的分布都起着关键作用。

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