Outage Data Analytics for Correlating Resilience and Reliability

In the last few decades, extreme weather events (EWEs) have become more frequent, especially in the southeastern part of the U.S. These EWEs affect the distribution grid greatly, resulting in long-duration power outages. To fully understand the outcomes of these catastrophic events and to correlate the impact on the reliability and resiliency of the utility company, multiple years of historical EWE-related outage data collected from a utility company are analyzed. Moreover, this study utilizes the System Average Interruption Duration Index (SAIDI) matrix to analyze the EWEs. This study finds overgrown vegetation as one of the main reasons for outages during EWEs. Besides, loss of transmission and generation also contribute significantly to outage events resulting in a high percentage of customers being affected for long periods.