Recent catastrophic weather events, existing and prospective federal and state policies, and growing investments in smart grid technologies have drawn renewed attention to the reliability of the U.S. electric power system. Whether electricity reliability is getting better or worse as a result of these or other factors has become a material issue for public and private decisions affecting the U.S. electric power system. This study examines the statistical relationship between annual changes in electricity reliability reported by a large cross-section of U.S. electricity distribution utilities over a period of 13 years, and a broad set of potential explanatory variables including various measures of weather and utility characteristics.We find statistically significant correlations between the average number of power interruptions experienced annually by a customer and a number of explanatory variables including wind speed, precipitation, lightning strikes, and the number of customers per line mile. We also find statistically significant correlations between the average total duration of power interruptions experienced annually by a customer and wind speed, precipitation, cooling degree-days, the percentage share of underground transmission and distribution lines. In addition, we find a statistically significant trend in the duration of power interruptions over time-especially when major events are included. This finding suggests that increased severity of major events over time has been the principal contributor to the observed trend.Assessing Changes in the Reliability of the U.S. Electric Power System │ii
AcknowledgmentsThe work described in this report was funded by the Office of Electricity Delivery and Energy Reliability, National Electricity Delivery Division of the U.S. Department of Energy (DOE) under Contract No. DE-AC02-05CH11231. The authors are grateful to David Meyer for his support of this research.We gratefully acknowledge a number of individuals who provided technical assistance, constructive advice, and/or encouragement at various points during this project: Amber Armentrout (Ventyx), William Morrow, Peter Cappers, Annika Todd, Liesel Hans, and Anna Spurlock (Lawrence Berkeley National Laboratory), Alex Hofmann, Mike Hyland (APPA), Marek Samotyj (EPRI), Bernard Neenan (Neenan Associates), Caitlin Callaghan, Rakesh Batra, and David Ortiz (DOE), Seth Blumsack (Pennsylvania State University), James Bouford (Quanta-Technology), Brett Efaw (Idaho Power), Larry Conrad (Conrad Technical Services), and John Weyant (Stanford University). We thank Dana Robson and Danielle Callaghan for their assistance with formatting the final version of the report and disseminating the results to interested stakeholders.Peter would like to thank the LBNL Tuition Assistance Program for indirectly supporting this research project. Finally, we are indebted to staff at the electric utilities and public utility commissions who shared reliability performance metrics and other insightful information with us in the early ...