Capacity Credit Evaluation of Correlated Wind Resources Using Vine Copula and Improved Importance Sampling

Capacity Credit Evaluation of Correlated Wind Resources Using Vine Copula and Improved Importance Sampling

This paper concentrates on the capacity credit (CC) evaluation of wind energy, where a new method for constructing the joint distribution of wind speed and load is proposed. The method is based on the skew-normal mixture model (SNMM) and D-vine copulas, which is used to model the marginal distributi...

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Bibliographic Details
Main Authors: Jilin Cai, Qingshan Xu, Minjian Cao, Yongbiao Yang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Applied Sciences
Subjects:
capacity credit
wind energy
skew-normal mixture model
vine copulas
importance sampling
Online Access:http://www.mdpi.com/2076-3417/9/1/199

Internet

http://www.mdpi.com/2076-3417/9/1/199

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