Performance Sensitivity of a Wind Farm Power Curve Model to Different Signals of the Input Layer of ANNs: Case Studies in the Canary Islands
Joint Authors
Velázquez Medina, Sergio
Carta, José A.
Portero Ajenjo, Ulises
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Improving the estimation of the power output of a wind farm enables greater integration of this type of energy source in electrical systems.
The development of accurate models that represent the real operation of a wind farm is one way to attain this objective.
A wind farm power curve model is proposed in this paper which is developed using artificial neural networks, and a study is undertaken of the influence on model performance when parameters such as the meteorological conditions (wind speed and direction) of areas other than the wind farm location are added as signals of the input layer of the neural network.
Using such information could be of interest, either to study possible improvements that could be obtained in the performance of the original model, which uses exclusively the meteorological conditions of the area where the wind farm is located, or simply because no reliable meteorological data for the area of the wind farm are available.
In the study developed it is deduced that the incorporation of meteorological data from an additional weather station other than that of the wind farm site can improve by up to 17.6% the performance of the original model.
American Psychological Association (APA)
Velázquez Medina, Sergio& Carta, José A.& Portero Ajenjo, Ulises. 2019. Performance Sensitivity of a Wind Farm Power Curve Model to Different Signals of the Input Layer of ANNs: Case Studies in the Canary Islands. Complexity،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1131286
Modern Language Association (MLA)
Velázquez Medina, Sergio…[et al.]. Performance Sensitivity of a Wind Farm Power Curve Model to Different Signals of the Input Layer of ANNs: Case Studies in the Canary Islands. Complexity No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1131286
American Medical Association (AMA)
Velázquez Medina, Sergio& Carta, José A.& Portero Ajenjo, Ulises. Performance Sensitivity of a Wind Farm Power Curve Model to Different Signals of the Input Layer of ANNs: Case Studies in the Canary Islands. Complexity. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1131286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131286