Journal of Siberian Federal University. Engineering & Technologies / Simulation of Wind Speed in the Problems of Wind Power

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Issue
Journal of Siberian Federal University. Engineering & Technologies. 2013 6 (2)
Authors
Udalov, Sergey N.; Zubova, Natalya V.
Contact information
Udalov, Sergey N.: Novosibirsk State Technical University, 20 K. Marksa, Novosibirsk, 630092 Russia;; Zubova, Natalya V.: Novosibirsk State Technical University, 20 K. Marksa, Novosibirsk, 630092 Russia; e-mail: zubna85@gmail.com
Keywords
distribution function; fuzzy sets; membership function; wind speed; probability; spectral density
Abstract

The article is devoted to research of mathematical models of wind speed and development a way to improve the efficiency of wind power plants based on fuzzy logic using fuzzy model of the wind speed. Simulation of the wind speed is a fairly difficult task, since this source of energy is constantly changing in time and space. Four basic models of wind speed were identified at the end of research work: determinate, probability, spectral and fuzzy. Every one finds their own field of application. Thus, from the energy point of view, the model probabilistic distribution of Weibull is most applicable at the level of technical and economic development. Deterministic model allows to determine the power generated by wind turbines at a given average wind speed. The spectral model should apply in those studies where necessary to account for gusts of wind and sudden changes. Fuzzy model of the wind is the most convenient and relevant for modeling of wind turbine control, it is allows to form a flexible control system.

Pages
150-165
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/9697

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

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