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Comparing resource adequacy metrics and their influence on capacity value : preprint / Eduardo Ibanez and Michael R. Milligan.
- Format:
- Book
- Conference/Event
- Government document
- Author/Creator:
- Ibanez, Eduardo.
- Conference Name:
- International Conference on Probabilistic Methods Applied to Power Systems (13th : 2014 : Durham, England)
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; 5 D 00-61017.
- NREL/CP ; 5D00-62847
- Language:
- English
- Subjects (All):
- Renewable energy sources--Planning--Congresses.
- Renewable energy sources.
- Electric power systems--Load dispatching--Measurement--Congresses.
- Electric power systems.
- Electric power transmission--United States--Congresses.
- Electric power transmission.
- Renewable energy sources--Planning.
- United States.
- Genre:
- Congresses.
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource (6 pages) : color illustrations.
- Place of Publication:
- [Golden, Colo.] : National Renewable Energy Laboratory, [2014]
- Summary:
- Traditional probabilistic methods have been used to evaluate resource adequacy. The increasing presence of variable renewable generation in power systems presents a challenge to these methods because, unlike thermal units, variable renewable generation levels change over time because they are driven by meteorological events. Thus, capacity value calculations for these resources are often performed to simple rules of thumb. This paper follows the recommendations of the North American Electric Reliability Corporation's Integration of Variable Generation Task Force to include variable generation in the calculation of resource adequacy and compares different reliability metrics. Examples are provided using the Western Interconnection footprint under different variable generation penetrations.
- Notes:
- Title from title screen (viewed Dec. 8, 2014).
- "April 2014."
- "To be presented at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, United Kingdom, July 7-10, 2014."
- Includes bibliographical references (page 6).
- OCLC:
- 900646593
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