PROJECT TITLE :

Nonlinear Control of Variable Speed Wind Turbines Via Fuzzy Techniques - 2017

ABSTRACT:

During this paper, a fuzzy logic controller is proposed to satisfy the objective of maximum power extraction primarily based on a two-mass model. One amongst the crucial problems is that the effective wind speed cannot be measured directly thanks to the high disturbance of the wind speed and therefore the high price of sensors. Three algorithms are used to estimate the effective wind speed by solving power balance equations, and also the estimated wind speed is used to determine the optimal speed reference for a generator management system. The management performance of the fuzzy logic controller is verified in the whole system and compared with a standard PI controller. Simulation results are presented to illustrate the effectiveness and robustness against parameter variations of the proposed control style.


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