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Award ID contains: 1609080

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  1. ; ; (, IEEE Transactions on Power Systems)
    Full Text Available 
  2. ; ; ; ; ; ; (, IEEE Transactions on Power Systems)
  3. ; ; ; (, IEEE Power and Energy Society General Meeting)
    It is useful to quantify electrical distribution system resilience based on historical performance. This paper systematically extracts resilience curves from historical utility outage data, extracts resilience metrics such as duration, average recovery rates, and maximum number of simultaneously outaged components, and examines the statistics of these resilience metrics for small, medium, and large events. The resilience metrics and their typical variabilities are expected to be helpful in predicting and bounding the likely outcomes of future resilience events. For example, we can calculate the restoration time that will be achieved with 95% confidence. 
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  4. ; (, IEEE transactions on power systems)
    null (Ed.)
    The empirical probability distribution of transmission line restoration times is obtained from 14 years of field data from a large utility. The distribution of restoration times has a heavy tail that indicates that long restoration times, although less frequent, routinely occur. The heavy tail differs from the convenient assumption of exponentially distributed restoration times, impacts power system resilience, and makes estimates of the mean restoration time highly variable. 
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    Accepted Manuscript Full Text Available