In this paper, we are going to discuss the fuzzy logic techniques and their importance in the control of the nonlinear systems. The double fed Induction generator (DFIG) is wildly used in wind energy conversion systems. The control of DFIG is very complicated due to its strong nonlinearities. The first case is a controller with 3 sets in inputs and outputs. The second case is a controller with 5 sets in inputs and outputs. The third case is a controller with 7 sets in inputs and outputs. The objective of this paper is to propose a new control strategy based on fuzzy logic in order to control the power of the wind turbine and make it adaptable to different constraints. A simulation study is done to validate this control strategy.
In this paper, we deal with the maximum power point tracking problem for wind generator in a standalone installation. The aim is to develop a new algorithm to get the value of optimal power. So, we intend to use fuzzy logic to exploit its robustness in presence on not certainties and its simplicity of design. In order to improve human expertise, we aim to use two evolutionary algorithms as Particle Swarm Optimization and Genetic Algorithms. Lots of simulation results are introduced to show the obtained improvement.
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