Graduate Seminar with Nichelle’Le Carrington: Estimation the Variability of Resilience Metrics from Distribution Utility Data using Outage and Restore Processes


October 13, 2021    
1:10 pm - 2:00 pm


3043 ECpE Building Addition
Coover Hall, Ames, Iowa, 50011

Event Type

Speaker: Nichelle’Le Carrington, ECpE Graduate Student

Advisors: Ian Dobson and Zhaoyu Wang

Title: Estimation the Variability of Resilience Metrics from Distribution Utility Data using Outage and Restore Processes

Abstract: Over the years, devices such as fuse cards have been incorporated into the electric power distribution system infrastructure to record the status of components within the system. Detailed utility data gathered by these devices is processed to offer insights into the resilience of electric power distribution systems. A resilience curve describes the accumulated outages and restores that occur in the power system as time progresses in response to the disruption.  Several works have used resilience curves to model the power system’s response before, during, and after a disruption.  The common method to extract resilience metrics from resilience curves is to divide the curve into distinct time-dependent phases, such as outage and restoration phases.  The extraction of resilience metrics from the resilience curve using phases does not address the issue of outages and restores overlapping in time, and in our data, these processes substantially overlapped. We use a simple and effective way to decompose resilience curves into a restore process and an outage process. Metrics for each process can then be calculated.We use many events from real utility data to characterize the statistics of these processes, and derive mathematical formulas based on these statistics for resilience metrics such as restore duration, customer hours not served, and outage and restore rates. Estimating the variability of restore duration allows us to predict a maximum restore duration with 95% confidence.

Bio: Nichelle’Le K. Carrington (Student Member, IEEE) is a Ph.D. candidate at Iowa State University. She received the B.S. degree in electrical engineering in 2014 from North Carolina Agricultural and Technical State University, Greensboro NC, USA. She is currently pursuing the Ph.D. in electrical engineering with a focus in power and energy systems at Iowa State University. Her current research interests include distribution system resilience, analysis and assessment of real utility data to extract resilience metrics, data analytics in smart grids, and industry applications leveraging power system smart meter data.