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This paper presents an improved, efficient performance of Neuro Fuzzy (NF) based control for Wind Energy Conversion System (WECS).NF controller overcomes the performance of Fuzzy Logic Controller (FLC) which gives out less efficient result in case of three phase four wire non linear loads also with any other non linear load. Rotor position and spee...
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The real problems in diminution of power quality (PQ) occur due to the rapid growth of nonlinear load are leading to a sudden decrease of source voltage for a few seconds. All these problems can be compensated by unified power quality controller (UPQC). The proposed research is based on designing a wind energy conversion system (WECS) fed to the dc...
Citations
... Wind turbine is designed to produce maximum power at wide spectrum of wind speed. The Variable Speed Wind Turbine (VSWT) [1]- [14] is more attractive when compared to Constant Speed Wind Turbine (CSWT). Since in VSWT mechanical stresses are reduced by absorbing power fluctuation it can also generate maximum power at variable wind speed condition. ...
... PI controllers were also used to maintain the grid voltage but the output of which is not efficient for non linear network systems. Soft computing control techniques [10]- [14] are very popular to improve the performance of wind energy conversion systems. Even though the implementation of fuzzy logic gave an efficient output for nonlinear systems it leads to the drawback of non adequateness. ...
The main role of wind energy conversion systems is not only to capture the maximum power from the wind and also to improve the quality of power. Soft Computing Techniques based control strategies are used to improve the power quality of Doubly Fed Induction Generator wind turbine. The proposed system consists of two back to back connected power electronics converters, where one converter controls the Doubly Fed Induction generator, whereas the other is used for grid synchronization. The two converters are controlled by soft computing techniques like Fuzzy and Neuro-Fuzzy controlling techniques to reduce the total harmonic distortion during variable wind speed operations. Rotor position and speed of Doubly Fed Induction Generator are estimated by using Fuzzy and Neuro-Fuzzy controllers, which act as a tuned estimator. Hence these are used for wide range of speed control by automatically tuning the parameter variations. Hence, maximum power can be extracted during variable speed condition. The grid side converter act as an Active Power Filter to reduces the total harmonics distortion and provides unbalanced load compensation present at the point of common coupling. The effectiveness of the proposed scheme is developed and simulated using MATLAB/ Sim Power System software.
