The wind speed represents the main exogenous signal applied to a Wind Energy Conversion System (WECS) and determines its behavior. The erratic variation of the wind speed, highly dependent on the given site and on the atmospheric conditions, makes the wind speed quite difficult to model. Moreover, wind modelling for medium and large time scales is poorly treated in the present literature. This paper presents methods for generating realistic wind speed profiles based on real measurements. The wind speed profile is divided in a lowfrequency component (describing long term variations) and a turbulence component (corresponding to fast, high frequency variations). For modelling the low frequency component two methods are implemented and compared: one based on the Van der Hoven spectrum and one based on auto regressive models. The importance of the turbulence component is also analyzed and modelling methods based on white noise filtering are presented.
Key wordswind speed modelling, medium and large time scales, van der hoven, autoregressive models
This paper investigates the applicability of Iterative Feedback Tuning (IFT) to the level control of a three-tank system laboratory equipment. First two PID controllers are designed in terms of the frequency domain approach. Next IFT is employed to improve the control system performance indices. Digital simulation results and real-time experimental results validate the new control solution.
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