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Author ORCID Identifier
N/A
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Mechanical Engineering
Year Degree Awarded
2015
Month Degree Awarded
September
First Advisor
James F. Manwell
Second Advisor
Jon G. McGowan
Third Advisor
Douglas P. Looze
Subject Categories
Applied Statistics | Energy Systems | Mechanical Engineering | Probability
Abstract
Capacity value is the contribution of a power plant to the ability of the power system to meet high demand. As wind power penetration in New England, and worldwide, increases so does the importance of identifying the capacity contribution made by wind power plants. It is critical to accurately characterize the capacity value of these wind power plants and the variability of the capacity value over the long term. This is important in order to avoid the cost of keeping extra power plants operational while still being able to cover the demand for power reliably. This capacity value calculation is particularly interesting because wind power output and demand for electricity are not statistically independent. They are both driven by the weather. This dissertation describes a model of the New England power system in the presence of increasing wind power penetration, used to achieve three major ends:
- To evaluate the magnitude of the contribution that wind power would make to resource adequacy in the New England Power system at various levels of penetration (up to 50%).
- To characterize the inter-annual variability in that contribution
- To assess various capacity value metrics with regard to their ability to predict the long term capacity value of wind power plants, especially based on limited data
- To characterize the interaction of wind power plants and energy storage with respect to capacity value
DOI
https://doi.org/10.7275/7455674.0
Recommended Citation
Letson, Frederick W., "Wind Power Capacity Value Metrics and Variability: A Study in New England" (2015). Doctoral Dissertations. 474.
https://doi.org/10.7275/7455674.0
https://scholarworks.umass.edu/dissertations_2/474