Browsing by Author "Hiremath, R."

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Comparative Analysis of Different Controllers for Enhancing the LVRT of DFIG system
(Institute of Electrical and Electronics Engineers Inc., 2021) Hiremath, R.; Moger, T.
Low Voltage Ride Through (LVRT) characteristics are critical for grid integration of Wind Turbine (WT) generators under fault conditions. Doubly-Fed Induction Generators (DFIGs), which are prone to faults, need LVRT for continuous grid feeding operation. This article proposes the PR and PID controllers for the DFIG sytem. These controllers replace the PI controller in real and reactive power control. The improved dynamic behaviour and reduced parameters overshoot are advantages of the proposed controllers. The performance of the PI, PID and PR controllers are compared. The stability studies prove the effectiveness of the proposed controllers during a 3-phase fault. An attempt has made to improve the LVRT of the DFIG system during the three-phase fault. Â© 2021 IEEE.
Comparison of LVRT Enhancement for DFIG-Based Wind Turbine Generator with Rotor-Side Control Strategy
(Institute of Electrical and Electronics Engineers Inc., 2020) Hiremath, R.; Moger, T.
In DFIG, severe grid faults usually affect the wind turbine generator. Even in the extreme faults, LVRT is a solution for the grid connected wind generator. This paper deals with the LVRT enhancement through the rotor side controller explaining the co-ordinated control and feed-forward current control of the wind turbine based DFIG. The comparison is made between the controllers in accordance with the DFIG LVRT method. The approach of both controllers limits the maximum rotor current values and electromagnetic torque oscillations at the moment of occurrence and when the fault has been cleared. On the other hand, due to the PI-R controller being considered, the effects of the PI controller failure are presented. The best LVRT controller is shown when comparing the results of improved DFIG transient behavior and system stability. The outcome of this paper demonstrates that the FCRC approach to LVRT process is effective over the co-ordinated control. Â© 2020 IEEE.
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. Â© 2022 IEEE.
Comprehensive review on low voltage ride through capability of wind turbine generators
(John Wiley and Sons Ltd cs-journals@wiley.co.uk, 2020) Hiremath, R.; Moger, T.
Wind energy has made more inroads in renewable power generation due to environmental impact of conventional energy sources. The high penetration of grid connected wind energy has emerged as a recent trend in many countries. On the other hand, the problem of power generation loss due to the grid fault also arisen. The recent technological advancement suggests the importance of low voltage ride through (LVRT) in wind energy conversion system (WECS). However, LVRT is a technique in making uninterrupted connectivity of WECS in the presence of grid fault. This paper presents the state of the art of LVRT capabilities of various wind turbine generators using FACTS devices and different converter controllers. Also, the main challenging issues and different approaching strategies in LVRT are addressed. Finally, extracting all important features from distinct papers, new dimension of LVRT is presented for the power quality and power generation loss problems. © 2020 John Wiley & Sons Ltd
Direct current analysis of lcc based HVDC system during fault using DIgSILENT PowerFactory
(Institute of Electrical and Electronics Engineers Inc., 2021) Hiremath, R.; Moger, T.
The performance of the grid connected wind farms (WFs) with HVDC system is attracting much interest. Many WFs employ controllers for converter stations to provide a favourable grid support during fault. This paper focusses on the direct current analysis of the HVDC system during three phase (Ï†) fault. The paper has been proposed the "DIgSILENT Simulation Language (DSL)"based voltage dependant current order limiter (VDCOL) and PI controller for the converter stations. The DIgSILENT PowerFactory (DPF) software provides the platform to model the HVDC system for better DC current and voltage response under the fault. The stability of this system is analysed with the bode plot. The simulation results under the 3-phase fault indicate the better DC current and voltage behaviour. Â© 2021 IEEE.
Grid-Connected DFIG Driven Wind System for Low Voltage Ride Through Enhancement using Neural Predictive Controller
(Springer, 2022) Hiremath, R.; Moger, T.
Doubly Fed Induction Generators (DFIGs) are exposed to severe grid faults. In such cases, Low Voltage Ride Through (LVRT) enhances the DFIG’s performance under fault conditions. This paper investigates the LVRT enhancement of the DFIG system under grid disturbance. The paper proposes the Neural Predictive (NP) controller for the DFIG based Wind Turbine (WT) generator during grid faults. This controller operates with the Levenberg-Marquardt (LM) algorithm for its fast convergence. The algorithm based Neural Predictive (NP) controller is operated for large signal stability. The proposed controller has the benefit of reducing the peak values and uncertainties, which are raised for the system parameters during grid faults. Further, the proposed controller outcome is compared with existing controllers in the literature such as PI, PID, Feed-Forward Neural Network (FNN), and 2nd order Sliding Mode Controller (SOSMC) with the help of MATLAB/SIMULINK. The Hardware-In-Loop (HIL) is used to validate the simulation results, which have been performed on the OPAL-RT setup. According to the results that are obtained in this study, the proposed controller improved the LVRT performance of the DFIG-Wind Turbine (WT) system while operating under dynamic conditions. © 2022, The Institution of Engineers (India).
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. Â© 2022 IEEE.
Improving the DC-Link Voltage of DFIG Driven Wind System Using Modified Sliding Mode Control
(River Publishers, 2023) Hiremath, R.; Moger, T.
The grid-connected doubly fed induction generator (DFIG) driven wind turbine (WT) system encounters voltage fluctuations due to severe grid faults. The rise in DC-link voltage imbalances the system under voltage sag condition. The system’s protection should ensure that the WT generator meets the grid requirements through a low voltage ride through (LVRT) technique. This paper proposed the modified 2nd order sliding mode (MSOSM) control with gain added super twisting algorithm (GAST) for LVRT enhancement under voltage sag. This controller adds the low positive gains to the switching functions of the super twisting (ST) algorithm. As a result, it maintains the proper variation margins and constant DC-link voltage of the WT-DFIG system under grid fault. The MSOSM controller suppresses the chattering effect, achieves better zero convergence, and eliminates the coordinate transformations. Moreover, 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 performance of the WT-DFIG system under transient conditions. © 2023 River Publishers.
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.
LVRT improvement of DFIG driven wind generator with rotor control
(Institute of Electrical and Electronics Engineers Inc., 2020) Hiremath, R.; Moger, T.
The grid faults generally perturb the performance of wind turbine (WT) generator. Consequently, these issues offer the low voltage ride through (LVRT) as a solution for the grid associated wind generator under the fault conditions. This paper presents the enhancement of the LVRT capabilities of the DFIG based wind generator through the rotor side controller. The active and reactive power controls are used along with the proposed PID controller. Furthermore, the performance of the proposed PID controller is compared with the results of the PI controller. In addition, the drawbacks/failures of the PI controller are also highlighted. Finally, the simulation results with the PID controller exhibits the LVRT enhancement and stability of the DFIG system. Â© 2020 IEEE
Modified Super Twisting algorithm based sliding mode control for LVRT enhancement of DFIG driven wind system
(Elsevier Ltd, 2022) Hiremath, R.; Moger, T.
The grid-connected Doubly Fed Induction Generator (DFIG) system is exposed to severe grid faults. The DFIG is sensitive to grid disturbances, which lead to consideration in the controller design. This paper proposed the Modified Super Twisting (MST) algorithm for the Low Voltage Ride Through (LVRT) enhancement under voltage sag condition. This proposed algorithm is implemented using the 2nd Order Sliding Mode (SOSM) to control the DFIG based wind generator. The higher-order switching functions are introduced in the SOSM for sliding surface control. Moreover, the Lyapunov analysis for the MST algorithm brings down the chattering amplitude. The advantages of the proposed algorithm are that it reduces the system uncertainties, chattering effect and improves the settling period of the system parameters. The performance of the proposed algorithm is compared with existing algorithms in the literature with the help of MATLAB/SIMULINK. The Hardware-In-Loop (HIL) is used to validate the simulation results, which have been performed on the OPAL-RT setup. In addition, the proposed algorithm is also tested on an equivalent model of the practical Wind Farm (WF). Based on the studies, it is found that the proposed algorithm enhanced the LVRT performance of the single Wind Turbine (WT)-DFIG system as well as the practical WF under transient conditions. © 2022 The Authors
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. Â© 2021 IEEE.
Transient Analysis of LCC based HVDC Offshore Wind Farms using DIgSILENT PowerFactory
(Institute of Electrical and Electronics Engineers Inc., 2021) Hiremath, R.; Moger, T.
Offshore wind farms (OWFs) connect to onshore grids through HVDC cable. Severe grid faults mainly affect the offshore wind farms and HVDC cables. As a result, the transient response of the system deteriorates. Therefore, this paper aims for the transient analysis of line commutated current converter (LCC) based HVDC system under 3-phase fault. The paper proposes the DIgSILENT Simulation Language (DSL) oriented PI control for the both rectifier and inverter stations. The whole HVDC system is modelled in DIgSILENT PowerFactory software for the better transient response. In addition, the PI control and voltage dependent current order limiter (VDCOL) are designed in this PowerFactory software. The advantage of this software is that it improves the transient behaviour and stability of the system. These controllers limit the inrush current and voltage fluctuations at the moment of fault occurrence and clearance. The simulation results under fault indicate the better transient response with the system stability. Â© 2021 IEEE.