Realization of a stochastic two-parameter model of the longitudinal component of the wind speed for wind energy problems

• Date: 2017
• Main Authors: Vasko, P., Verbovij, A., Pazych, S.
• Format: Article
• Language: Ukrainian
• Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2017
• Subjects: wind turbine; wind; random variable; model; gust of wind; wind speed
• Online Access: https://ve.org.ua/index.php/journal/article/view/39
• Journal Title: Vidnovluvana energetika

For adequately study modes of the wind turbine must apply a qualitative dynamic model of wind speed. When working windturbine with changing wind speed over time plays an important roleas the primary link energy. Instantaneous wind speed hasa significant impact on the work wind turbine. the work of automaticcontrol systems, management Mode of operation units etc.Modeling fluctuations of wind speed at the 10-minute intervalwere carried out by two sequences of random variables. The amplitudeof the fluctuations in wind speed is modeled by a generatorof random variables distributed by the normal law. Intervalsfluctuations – for Poisson law with desired medium characteristicsnumerically equal to the average of statistical significance.The dynamic model of wind velocity fluctuations wasimplemented in the software package Simulink.To perform calculations created two data sets. Softwareimplementation model was carried out in two stages. In the firstphase fluctuations amplitude values calculated wind speed andduration, and the second stage was carried out synthesis.The proposed stochastic model of a longitudinal componentof the wind speed is realized by means of modern applicationsand is not a complicated structure can be used as part of themodels of wind turbines in their design, research, and optimizationof dynamic mode parameters. Selected methods for generatingrandom variables most relevant to the real process of changingwind speed. The model satisfies the accuracy of forecastingwind speeds at 10 minutes interval.