DocumentCode :
1545647
Title :
A comparison between chronological and probabilistic methods to estimate wind power capacity credit
Author :
Castro, Rui M G ; Ferreira, Luís A F M
Author_Institution :
Inst. Superior Tecnico, Tech. Univ. Lisbon, Portugal
Volume :
16
Issue :
4
fYear :
2001
fDate :
11/1/2001 12:00:00 AM
Firstpage :
904
Lastpage :
909
Abstract :
In this paper, the issue of the capacity credit provided by wind energy conversion systems (WECS) is addressed. A chronological method of post-evaluation of the capacity credit is presented and compared with a pre-evaluation probabilistic method. The proposed chronological approach is based on the computation of the WECS capacity factor (ratio between average and total output) over some relevant time period. An appropriate choice of the time interval, for instance the peak load hours, will lead to a closer approximation of the capacity credit. The comparison is illustrated with two case-studies, concerning the Portuguese electric system. The analysis of the theoretical background of both methods and the results obtained allow the conclusion that chronological methods are best designed to assist system operators, whereas probabilistic methods, which are developed within the logic of the public system avoided resources, are a helping tool for system planners
Keywords :
power system planning; power system reliability; probability; wind power; wind turbines; Portugal; Portuguese electric system; WECS capacity factor; chronological method; chronological methods; peak load hours; power system planning; power system reliability; pre-evaluation probabilistic method; probabilistic methods; public system avoided resources; wind energy conversion systems; wind power capacity credit estimation; Capacity planning; Cogeneration; Costs; Design methodology; Legislation; Power system planning; Power system reliability; Probabilistic logic; Renewable energy resources; Wind energy;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.962444
Filename :
962444
Link To Document :
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