Theoretical Derivation of Wind Plant Power Distribution With the Consideration of Wind Turbine Reliability
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Sci Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The wind power generated by a wind plant has a stochastic nature due to randomness in the wind speed. Although the empirical distribution of the wind power has been extensively studied by using data sets in different regions, several works focused on theoretical distribution of the wind power produced by wind turbines. In this paper, the theoretical distribution of the wind plant power is obtained. In the derivation of the distribution of the wind plant power, wind turbine reliability is taken into account. The wind plant power distribution can be effectively used if the wind speed probability distribution is known. Theoretical results are illustrated for Weibull and Bimbaum-Saunders wind speed distributions which have been found to be suitable for real data collected at two different locations.
Description
DEVRIM, YILSER/0000-0001-8430-0702; Eryilmaz, Serkan/0000-0002-2108-1781
Keywords
Birnbaum-Saunders distribution, Reliability, Weibull distribution, Wind speed, Wind power modeling
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
21
Source
Reliability Engineering & System Safety
Volume
185
Issue
Start Page
192
End Page
197
PlumX Metrics
Citations
Scopus : 21
Captures
Mendeley Readers : 22
SCOPUS™ Citations
21
checked on Feb 24, 2026
Web of Science™ Citations
18
checked on Feb 24, 2026
Page Views
6
checked on Feb 24, 2026
Google Scholar™

OpenAlex FWCI
2.16213456
Sustainable Development Goals
7
AFFORDABLE AND CLEAN ENERGY


