Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kristina Hamachi LaCommare"'
Publikováno v:
Energy Policy. 129:206-214
Modern grid monitoring equipment enables utilities to collect detailed records of power interruptions. These data are aggregated to compute publicly reported metrics describing high-level characteristics of grid performance. The current work explores
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82922a253fda96c9ca0cda76848b80b
https://doi.org/10.1016/j.enpol.2019.01.042
https://doi.org/10.1016/j.enpol.2019.01.042
There has been a limited amount of peer-reviewed literature on long-term trends in electricity reliability including the underlying factors that impact reliability across the United States. In this analysis, we considered up to 16 years of data from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7409da95ddb0549bf7f272a8bf7f4077
https://escholarship.org/uc/item/85t8125q
https://escholarship.org/uc/item/85t8125q
Publikováno v:
Lacommare, KH; Eto, JH; Dunn, LN; & Sohn, MD. (2018). Improving the estimated cost of sustained power interruptions to electricity customers. Energy, 153, 1038-1047. doi: 10.1016/j.energy.2018.04.082. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/2gb3f47z
© 2018 Elsevier Ltd Electricity reliability and resiliency have become a topic of heightened interest in recent years in the United States. As utilities, regulators, and policymakers determine how to achieve optimal levels of electricity reliability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d55cfbdd33b9f24a32f927c133f1fa
https://doi.org/10.1016/j.energy.2018.04.082
https://doi.org/10.1016/j.energy.2018.04.082
Publikováno v:
Energy. 117:29-46
This study examines the 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, includin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::791b4b95434ac3b8c9995988c292f8bb
https://doi.org/10.1016/j.energy.2016.10.063
https://doi.org/10.1016/j.energy.2016.10.063
Publikováno v:
Eto, Joseph H; LaCommare, Kristina H; Caswell, Heidemarie C; & Till, David. (2019). Distribution system versus bulk power system: identifying the source of electric service interruptions in the US. IET Generation, Transmission & Distribution, 13(5), 717-723. doi: 10.1049/iet-gtd.2018.6452. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/3rq38413
IET Generation Transmission & Distribution, vol 13, iss 5
IET Generation, Transmission and Distribution, vol 13, iss 5
IET Generation Transmission & Distribution, vol 13, iss 5
IET Generation, Transmission and Distribution, vol 13, iss 5
© The Institution of Engineering and Technology 2018 This study reports on the results from efforts by the Institute of Electric and Electronics Engineers (IEEE) Distribution Reliability Working Group (DRWG) and the U.S. Energy Information Administr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad9788545079906fa63bc7994a62c9a1
http://www.escholarship.org/uc/item/3rq38413
http://www.escholarship.org/uc/item/3rq38413
Author(s): Larsen, P; Kristina S. H., Kristina SH; Eto, Joseph; Sanstad, Alan | Abstract: The costs to electric utility customers from short-term, limited geographic-scale power disruptions have been studied for many years. However, there is increasi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ebc4a5f8786afe16c0793bd032be72e
https://doi.org/10.2172/1506399
https://doi.org/10.2172/1506399
Publikováno v:
2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
More accurate information is needed for utilities, regulators, and policymakers in assessing the reliability of the U.S. electric power system. This work focuses on recent efforts by the Institute of Electric and Electronics Engineers (IEEE) Distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51aef6174f183388b8d9d3c3bb6dffd7
https://doi.org/10.1109/pmaps.2018.8440518
https://doi.org/10.1109/pmaps.2018.8440518
Autor:
Lisa Rennels, Peter H. Larsen, Joseph H. Eto, Brent Boehlert, Kristina Hamachi-LaCommare, Jeremy Martinich
Publikováno v:
Larsen, PH; Boehlert, B; Eto, J; Hamachi-LaCommare, K; Martinich, J; & Rennels, L. (2018). Projecting future costs to U.S. electric utility customers from power interruptions. Energy, 147, 1256-1277. doi: 10.1016/j.energy.2017.12.081. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/6qd662r9
© 2017 Elsevier Ltd This analysis integrates regional models of power system reliability, output from atmosphere-ocean general circulation models, and results from the Interruption Cost Estimate (ICE) Calculator to project long-run costs to electric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d7c9be603ce5dce2e4b236ded963351
https://escholarship.org/uc/item/6qd662r9
https://escholarship.org/uc/item/6qd662r9
Publikováno v:
IEEE Transactions on Power Systems, vol 32, iss 2
Eto, JH; Lacommare, KH; Sohn, MD; & Caswell, HC. (2017). Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days. IEEE Transactions on Power Systems, 32(2), 1327-1333. doi: 10.1109/TPWRS.2016.2585978. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/46b9x7j8
Eto, JH; Lacommare, KH; Sohn, MD; & Caswell, HC. (2017). Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days. IEEE Transactions on Power Systems, 32(2), 1327-1333. doi: 10.1109/TPWRS.2016.2585978. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/46b9x7j8
© 1969-2012 IEEE. IEEE Standard 1366 offers a method for segmenting reliability performance data to isolate the effects of major events from the underlying year-to-year trends in reliability. Recent analysis by the IEEE Distribution Reliability Work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ffff05176a1acc499c4e5a1bd2dab17
https://escholarship.org/uc/item/46b9x7j8
https://escholarship.org/uc/item/46b9x7j8