Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs)

Volume: 10 | Issue: 02 | Year 2024 | Subscription
International Journal of Power Electronics Controllers and Converters
Received Date: 10/27/2024
Acceptance Date: 11/06/2024
Published On: 2024-11-15
First Page: 25
Last Page: 42

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By: Bibhu Prasad Ganthia and Praveen B. M.

1-Post Doc. Fellow, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka, India.
2-Director, College of Engineering and Technology, Srinivas University, Mangalore, Karnataka, India.

Abstract

To accomplish power smoothing, contemporary controllers like adaptive and predictive controllers are used on both the machine and grid sides. Effective machine-side torque control requires robust technologies. Under order to maintain stable performance under nonlinear circumstances, this work employs the sliding mode control technique to control the pitch angle during disturbances. Even in situations where wind conditions fluctuate, the sliding mode control approach optimizes wind power generation by effectively resolving system nonlinearities. By combining adaptive strategies with sliding mode control, power smoothing is improved, increasing the turbine’s efficiency in the presence of fluctuating wind speeds. The power smoothing approach is making the power system balanced. In wind energy conversion systems under grid integrations, the controller optimization is necessarily implemented. Type-III wind turbine system is taken in this research which uses a double-fed induction generator. Double-fed induction generators are useful for variable speed operations. For controlling power, in this paper radial basis function neural network optimization technique is used. To remove nonlinearities sliding mode controller is implemented with the optimization technique. To tune with the controller conventional controllers are added to the proposed technique. For variable wind speed and under transients the model is tested, and the power generations are presented. The active power is enhanced using the proposed controller and the reactive power is compensated smoothly. Hence, the model with the proposed controller effectively enhanced the efficiency of the wind power generation. This paper presents the robustness of the Type-III wind turbine system under grid integrations. 

Keywords: Type-III wind turbine, PAC, MPPT, wind speed, sliding mode controller, RBFN, power smoothing, WECS

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How to cite this article: Bibhu Prasad Ganthia and Praveen B. M., Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs). International Journal of Power Electronics Controllers and Converters. 2024; 10(02): 25-42p.

How to cite this URL: Bibhu Prasad Ganthia and Praveen B. M., Stability Analysis of Type-III Wind Turbine Systems Using Radial Basis Function Networks (RBFNs). International Journal of Power Electronics Controllers and Converters. 2024; 10(02): 25-42p. Available from:https://journalspub.com/publication/ijpecc/article=13745
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