Faculty Publications
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Item Performance of DFIG-Wind Turbine Generator System for LVRT Enhancement using Proportion-Resonant Controller(Institute of Electrical and Electronics Engineers Inc., 2021) Hiremath, R.; Moger, T.Wind Energy Conversion Systems (WECs) prefer Doubly-Fed Induction Generators (DFIGs) as these are mostly affected and also economical. The DFIG system with continuous power feeding to the grid follows the grid codes and undergoes Low Voltage Ride Through (LVRT) technique. This paper proposes the Proportion-Resonant (PR) controller for the DFIG system during fault. This PR improves the dynamic response and has compared with PI controller. The LVRT improvement can be seen based on the simulation results. The severity of the 3-phase fault has been reduced. © 2021 IEEE.Item Comparison of Sliding Mode Controllers on a DFIG-Wind Turbine Generator for Improving LVRT(Institute of Electrical and Electronics Engineers Inc., 2022) Hiremath, R.; Moger, T.There is a significant risk of grid failure for the grid-connected Doubly Fed Induction Generators (DFIG). There must be some thought put into the controller design for the DFIG's sensitivity to grid disruptions. We compare the Low Voltage Ride Through (LVRT) improvement using a Second Order Sliding Mode (SOSM) and First Order Sliding Mode (FOSM) controller under voltage sag conditions in this study. Sliding surface control convergence is aided by SOSM higher-order switching function augmentations. As a result of the SOSM's reduced chattering impact and enhanced system parameter settlement time, it has many benefits. By using MATLAB/SIMULINK, we are able to evaluate the SOSM's performance to that of other FOSM controllers that have been published. An analysis of DFIG-Wind Turbine (WT) system simulations found that SOSM controllers improved the system's LVRT capacity. © 2022 IEEE.Item Improved LVRT Performance of Doubly-Fed Wind Generator System in Comparison with Neuro and Sliding Mode Control(Institute of Electrical and Electronics Engineers Inc., 2022) Hiremath, R.; Moger, T.The Doubly Fed Induction Generator (DFIG) in wind system is linked to the power-grid, which is vulnerable to significant grid failures. Because of the DFIG's sensitivity to disturbances in the grid, designing of the controller is considered. In this article, the Feed-Forward Neuro-Second Order Sliding Mode (FFN-SOSM) controller and the Second Order Sliding Mode (SOSM) controller are compared for the Low Voltage Ride Through (LVRT) enhancement under voltage sag situation. Convergence in the sliding surface control is assisted by the use of higher-order switching functions in the FFN-SOSM. Importantly, controller benefits are such that reduction in chattering effect and minimized settling time for the system's parameters as a result in the implementation of the FFN-SOSM method. With the assistance of MATLAB/SIMULINK, a comparison is made between the performances of the FFN-SOSM controller and those of SOSM controller, which is described in the existed research. The results of the simulation indicate that the "FFN-SOSM controller improved the LVRT capability of the DFIG-Wind Turbine (WT) system"when it is functioning under dynamic conditions. © 2022 IEEE.Item LVRT enhancement of DFIG-driven wind system using feed-forward neuro-sliding mode control(De Gruyter Open Ltd, 2021) Hiremath, R.; Moger, T.Power generation losses arise in doubly fed induction generator (DFIG) system due to grid faults. The system's protection should ensure that the wind turbine (WT) generator meets the grid requirements through a low voltage ride through (LVRT) technique. This article proposes the feed-forward neuro-second order sliding mode (FFN-SOSM) control for the LVRT enhancement under voltage sag. This controller operates with the levenberg marquardt (LM)-super twisting (ST) algorithm for the uncertainties of the DFIG system. The LM-ST algorithm-based proposed controller is subjected to stability analysis. The advantages of the proposed controller are that it reduces the system parameter's peak values and harmonic distortion of the system during grid disturbance. The performance of the proposed controller is compared with existing controllers in the literature with the help of MATLAB/SIMULINK. The hardware-in-loop (HIL) validates these simulation results performed on the OPAL-RT setup. Based on the studies, it is found that the proposed controller enhances the LVRT performance of the WT-DFIG system under transient conditions. © 2021 Ravikiran Hiremath and Tukaram Moger, published by De Gruyter.