DocumentCode
2535033
Title
Selected properties of wind capacity contributions applications of the constant z-statistic method
Author
Dragoon, Ken
Author_Institution
Renewable Northwest Project in Portland, Portland, OH
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
3
Abstract
The relatively complex relationship between power demand and wind generation patterns complicates estimating and communicating wind generation capacity contribution. Standard utility methods such as establishing minimum reserve margins are generally not adequate. Load carrying capability of wind projects can be assessed with probabilistic metrics using stochastic power system models. However, stochastic methods tend to be relatively expensive and cumbersome for assessing multiple projects. The constant z-statistic method provides a simple analytical estimate for incremental resource additions that can be helpful in applications with multiple wind projects where correlations among project output is also a consideration. This paper reviews the constant z-statistic method as applied to wind projects, and examines properties of wind capacity through examples.
Keywords
power generation planning; power system reliability; wind power; constant z-statistic method; power generation planning; power system availability; power system planning; power system reliability; wind capacity contributions; wind energy; wind generation; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power systems; Stochastic processes; Stochastic systems; Wind energy generation; Wind power generation; Power generation peaking capacity; power generation planning; power system availability; power system planning; power system reliability; wind; wind energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596291
Filename
4596291
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