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The effect of long-distance interconnection on wind power variability

Bibliographic Data

ID15548396
AuthorsEmily Fertig (0000-0002-6275-9173, Carnegie Mellon University, corresponding author), Jay Apt (0000-0002-6195-0355, Carnegie Mellon University), Paulina Jaramillo (0000-0002-4214-1106, Carnegie Mellon University), Warren Katzenstein
Year2012
Volume7
Issue3
Pages034017-034017
Publication date2012-08-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/7/3/034017
OpenAlexW2119541839
LanguageEN
Citations received6
References cited9

We use time- and frequency-domain techniques to quantify the extent to which long-distance interconnection of wind plants in the United States would reduce the variability of wind power output. Previous work has shown that interconnection of just a few wind plants across moderate distances could greatly reduce the ratio of fast- to slow-ramping generators in the balancing portfolio. We find that interconnection of aggregate regional wind plants would not reduce this ratio further but would reduce variability at all frequencies examined. Further, interconnection of just a few wind plants reduces the average hourly change in power output, but interconnection across regions provides little further reduction. Interconnection also reduces the magnitude of low-probability step changes and doubles firm power output (capacity available at least 92% of the time) compared with a single region. First-order analysis indicates that balancing wind and providing firm power with local natural gas turbines would be more cost-effective than with transmission interconnection. For net load, increased wind capacity would require more balancing resources but in the same proportions by frequency as currently, justifying the practice of treating wind as negative load

Electrical engineering · Interconnection · Meteorology · Physics · Power (physics · Telecommunications · Wind power · Wind speed · Work (physics · Computer Science · Engineering · Environmental Science · Integrated Energy Systems Optimization · Microgrid Control and Optimization · Power Systems and Renewable Energy

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Unique citing works6
Citations per year0,46
Citation span2013 - 2024 (12)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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