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Capacity Value Assessments of Wind Power
National Renewable Energy Laboratory, Golden, CO, USA.
National Renewable Energy Laboratory, Golden, CO, USA.
General Electric (GE) Energy Consulting, Schenectady, NY, USA.
Valtion Teknillinen Tutkimuskeskus (VTT), Espoo, Finland.
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2019 (English)In: Advances in Energy Systems: The Large-scale Renewable Energy Integration Challenge, Wiley-Blackwell, 2019, p. 369-384Chapter in book (Other academic)
Abstract [en]

This chapter describes some of the recent research into the capacity value of wind power. It builds on previous reviews from IEEE and International Energy Agency (IEA) Wind Task 25, and examines recent work that evaluates the impact of multiple-year data sets and the impact of interconnected systems on resource adequacy. The chapter provides examples that explore the use of alternative reliability metrics for wind capacity value calculations. It shows how multiple-year data sets significantly increase the robustness of results compared to single-year assessments. The preferred method for assessing the capacity value of wind and solar generation is a probabilistic approach grounded in the well-known loss of load probability (LOLP) and related reliability metrics. While reliability-based methods are widely accepted and provide accurate measures of wind and solar capacity values, they require detailed system data and can be computationally expensive to evaluate.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2019. p. 369-384
Keywords [en]
capacity value assessment, interconnected systems, LOLP, multiple-year data sets, reliability metrics, resource adequacy, wind power
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-350374DOI: 10.1002/9781119508311.ch22Scopus ID: 2-s2.0-85140952985OAI: oai:DiVA.org:kth-350374DiVA, id: diva2:1883827
Note

QC 20240711

Available from: 2024-07-11 Created: 2024-07-11 Last updated: 2024-09-03Bibliographically approved

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Söder, Lennart

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