(she/her/hers)
Iowa State University
Power system resiliency, Utility data, Power distribution reliability, Power system restoration, Data analysis,
Nichelle'Le K. Carrington received a B.S. degree in electrical engineering from North Carolina Agricultural and Technical State University, Greensboro, NC, USA, in 2014 and a Ph.D. degree in electrical engineering from Iowa State University, Ames, IA, USA. Her current research interests include distribution system resiliency, analysis and assessment of real utility data for extracting resilience metrics, data analytics in smart grids, and industry applications for leveraging power system smart meter data.
Extracting resilience statistics from utility data in distribution grids
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.