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Title: Distribution system versus bulk power system: identifying the source of electric service interruptions in the US

Abstract

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 Administration (EIA) to improve the usefulness of reliability metrics by developing and then applying consistent, yet distinct measures of the continuity of supply based on the portion of the electric power system from which power interruptions originate: the lower voltage distribution system versus the high-voltage bulk power system. The modified metrics better support reliability planning in the US because they separately measure the effectiveness of actions to improve reliability made by the two distinct groups of firms (and their regulators or oversight bodies) that are responsible for planning and operating each portion of the US electric power system. The authors then present for the first time quantitative information on the reliability of each portion of the US electric power system. When reliability is measured using the system average interruption duration index and the system average interruption frequency index, they find that the distribution system accounts for at least 94 and 92%, respectively, of all interruptions. They also find that these relationships have been stable over the recent past.

Authors:
 [1]; ORCiD logo [1];  [2];  [3]
  1. Lawrence Berkeley National LaboratoryOne Cyclotron Rd, MS 90R4000BerkeleyCAUSA
  2. PacifiCorp825 NE Multnomah Suite 1500PortlandORUSA
  3. North American Electric Reliability Corporation3353 Peachtree Road NE Suite 600AtlantaGAUSA
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Electricity (OE), Advanced Grid Research & Development. Power Systems Engineering Research
OSTI Identifier:
1759130
Alternate Identifier(s):
OSTI ID: 1506411; OSTI ID: 1786873
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Published Article
Journal Name:
IET Generation, Transmission, & Distribution
Additional Journal Information:
Journal Name: IET Generation, Transmission, & Distribution Journal Volume: 13 Journal Issue: 5; Journal ID: ISSN 1751-8687
Publisher:
Institution of Engineering and Technology (IET)
Country of Publication:
United Kingdom
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION

Citation Formats

Eto, Joseph H., LaCommare, Kristina H., Caswell, Heidemarie C., and Till, David. Distribution system versus bulk power system: identifying the source of electric service interruptions in the US. United Kingdom: N. p., 2019. Web. doi:10.1049/iet-gtd.2018.6452.
Eto, Joseph H., LaCommare, Kristina H., Caswell, Heidemarie C., & Till, David. Distribution system versus bulk power system: identifying the source of electric service interruptions in the US. United Kingdom. https://doi.org/10.1049/iet-gtd.2018.6452
Eto, Joseph H., LaCommare, Kristina H., Caswell, Heidemarie C., and Till, David. Thu . "Distribution system versus bulk power system: identifying the source of electric service interruptions in the US". United Kingdom. https://doi.org/10.1049/iet-gtd.2018.6452.
@article{osti_1759130,
title = {Distribution system versus bulk power system: identifying the source of electric service interruptions in the US},
author = {Eto, Joseph H. and LaCommare, Kristina H. and Caswell, Heidemarie C. and Till, David},
abstractNote = {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 Administration (EIA) to improve the usefulness of reliability metrics by developing and then applying consistent, yet distinct measures of the continuity of supply based on the portion of the electric power system from which power interruptions originate: the lower voltage distribution system versus the high-voltage bulk power system. The modified metrics better support reliability planning in the US because they separately measure the effectiveness of actions to improve reliability made by the two distinct groups of firms (and their regulators or oversight bodies) that are responsible for planning and operating each portion of the US electric power system. The authors then present for the first time quantitative information on the reliability of each portion of the US electric power system. When reliability is measured using the system average interruption duration index and the system average interruption frequency index, they find that the distribution system accounts for at least 94 and 92%, respectively, of all interruptions. They also find that these relationships have been stable over the recent past.},
doi = {10.1049/iet-gtd.2018.6452},
journal = {IET Generation, Transmission, & Distribution},
number = 5,
volume = 13,
place = {United Kingdom},
year = {Thu Feb 28 00:00:00 EST 2019},
month = {Thu Feb 28 00:00:00 EST 2019}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1049/iet-gtd.2018.6452

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

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Works referenced in this record:

NERC Standards and Standards Compliance: Still a Work in Progress?
journal, April 2008


2.5 Beta Methodology—Impact of “Zero SAIDI” Days
journal, August 2013


Understanding Bulk Power Reliability: The Importance of Good Data and a Critical Review of Existing Sources
conference, January 2012

  • Fisher, Emily; Eto, Joseph H.; LaCommare, Kristina Hamachi
  • 2012 45th Hawaii International Conference on System Sciences (HICSS)
  • DOI: 10.1109/HICSS.2012.611

A quantitative assessment of utility reporting practices for reporting electric power distribution events
conference, July 2012

  • Eto, J. H.; LaCommare, K. H.
  • 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges, 2012 IEEE Power and Energy Society General Meeting
  • DOI: 10.1109/PESGM.2012.6344626

Cascading Failures: Survival versus Prevention
journal, November 2003


Large blackouts in North America: Historical trends and policy implications
journal, December 2009


Evaluating the Performance of the IEEE Standard 1366 Method for Identifying Major Event Days
journal, March 2017

  • Eto, Joseph H.; LaCommare, Kristina Hamachi; Sohn, Michael D.
  • IEEE Transactions on Power Systems, Vol. 32, Issue 2
  • DOI: 10.1109/TPWRS.2016.2585978

Major Event Day Segmentation
journal, August 2006


A survey of distribution reliability measurement practices in the US
journal, January 1999

  • Warren, C. A.; Ammon, R.; Welch, G.
  • IEEE Transactions on Power Delivery, Vol. 14, Issue 1
  • DOI: 10.1109/61.736733