Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Heidemarie C. Caswell"'
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
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
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
Autor:
Heidemarie C. Caswell
Publikováno v:
PES T&D 2012.
Use of IEEE Standard 1366–2003 for determining major events has provided substantial consistency when comparing year-on-year performance, however certain events (such as hurricanes or ice storms) that destroy substantial portions of a company's pow
Autor:
Heidemarie C. Caswell, Ian Hoogendam
Publikováno v:
PES T&D 2012.
The implementation of automated outage management systems has delivered to the reliability engineer better information from which to create tools to analyze, evaluate and develop reliability improvements. PacifiCorp has found that being able to synth