Description |
1 online resource (14 pages) : color illustrations, one color map. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
Series |
NREL/PR ; 5D00-76624 |
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NREL/PR ; 5D00-76624.
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Note |
Slideshow presentation. |
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"2020 IEEE Green Technologies Conference, Oklahoma City, OK, USA, April 1-3, 2020." |
Bibliography |
Includes bibliographical references. |
Funding |
DE-AC-08GO28308 |
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U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office DE-EE0008215 |
Note |
Description based on online resource; title from PDF title page (NREL, viewed on September 30, 2020). |
Summary |
Power system operators procure and deploy flexibility reserves or ramping products to address balancing needs caused by uncertainty and variability of load and generation. Existing methods estimate ramping needs using calendar information and historical forecast errors. Novel methods investigate if real-time weather information could inform ramping and other balancing requirements. This paper compares estimation methods for ramping requirements in theory and practice. The theoretical framework indicates when an alternative method could yield improved economic or reliability performance than existing methods by requiring lower or higher levels of ramping products. Preliminary simulations on a 118-bus test system for 4 days in May 2019 illustrate how system performance improves or deteriorates when ramping requirements are weather-informed (alternative) instead of calendar-based (baseline). Preliminary results suggest high variability in change of performance and underline the impact of additional factors, such as system conditions, on the realized performance change. |
Subject |
Electric power systems -- United States -- Load dispatching.
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Electric power distribution -- United States.
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Réseaux électriques (Énergie) -- États-Unis -- Répartition des charges.
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Electric power distribution
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Electric power systems -- Load dispatching
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United States https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
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Indexed Term |
flexibility |
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forecast errors |
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probabilistic forecasts |
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ramping product |
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reliability |
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renewable uncertainty |
Added Author |
National Renewable Energy Laboratory (U.S.), issuing body.
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United States. Department of Energy. Office of Energy Efficiency and Renewable Energy, sponsoring body.
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Standard No. |
1669432 OSTI ID |
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0000-0002-7788-0670 |
Gpo Item No. |
0430-P-09 (online) |
Sudoc No. |
E 9.22:NREL/PR-5 D 00-76624 |
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