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Pitch Angle Optimization for Small Wind Turbines Based on a Hierarchical Fuzzy-PID Controller and Anticipated Wind Speed Measurement
 
 
Article

Simulation of Wind Speeds with Spatio-Temporal Correlation

1
Escola de Enxeñería Industrial, Universidade de Vigo, 36310 Vigo, Spain
2
Escola de Enxeñería de Telecomunicación, Universidade de Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Jose Antonio Rodriguez Martin and Johannes Schwank
Appl. Sci. 2021, 11(8), 3355; https://doi.org/10.3390/app11083355
Received: 10 February 2021 / Revised: 22 March 2021 / Accepted: 2 April 2021 / Published: 8 April 2021
(This article belongs to the Special Issue Wind Turbine Data, Analysis and Models: Volume II)
Nowadays, there is a growing trend to incorporate renewables in electrical power systems and, in particular, wind energy, which has become an important primary source in the electricity mix of many countries, where wind farms have been proliferating in recent years. This circumstance makes it particularly interesting to understand wind behavior because generated power depends on it. In this paper, a method is proposed to synthetically generate sequences of wind speed values satisfying two important constraints. The first consists of fitting the given statistical distributions, as the generally accepted fact is assumed that the measured wind speed in a location follows a certain distribution. The second consists of imposing spatial and temporal correlations among the simulated wind speed sequences. The method was successfully checked under different scenarios, depending on variables, such as the number of locations, the duration of the data collection period or the size of the simulated series, and the results were of high accuracy. View Full-Text
Keywords: autocorrelation; monte carlo simulation; pearson’s correlation; cross-correlation; wind speed simulation; wind power simulation autocorrelation; monte carlo simulation; pearson’s correlation; cross-correlation; wind speed simulation; wind power simulation
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MDPI and ACS Style

Cordeiro-Costas, M.; Villanueva, D.; Feijóo-Lorenzo, A.E.; Martínez-Torres, J. Simulation of Wind Speeds with Spatio-Temporal Correlation. Appl. Sci. 2021, 11, 3355. https://doi.org/10.3390/app11083355

AMA Style

Cordeiro-Costas M, Villanueva D, Feijóo-Lorenzo AE, Martínez-Torres J. Simulation of Wind Speeds with Spatio-Temporal Correlation. Applied Sciences. 2021; 11(8):3355. https://doi.org/10.3390/app11083355

Chicago/Turabian Style

Cordeiro-Costas, Moisés, Daniel Villanueva, Andrés E. Feijóo-Lorenzo, and Javier Martínez-Torres. 2021. "Simulation of Wind Speeds with Spatio-Temporal Correlation" Applied Sciences 11, no. 8: 3355. https://doi.org/10.3390/app11083355

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