Faculty Publications
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Item Impact of Different PQ Models of Wind Turbine Generating Units (WTGUs) on System Voltage Performance(Walter de Gruyter GmbH info@degruyter.com, 2017) Moger, T.; Dhadbanjan, T.This paper presents the voltage performance analysis of the system with various types of wind turbine generating units (WTGUs). A detailed voltage performance analysis is carried out by considering the different PQ models used for computing the reactive power output of the WTGUs (fixed/semi-variable speed and variable speed WTGUs). The different PQ models of fixed/semi-variable speed WTGUs incorporated for the studies are voltage dependent model, voltage independent model, power factor based model, and PX model. In addition, the variable speed WTGUs are also considered in different fixed power factor mode of operation. Based on these models, a comparative analysis is presented. A modified 27-bus equivalent distribution test system with dispersed wind generation is considered for the studies. Further, the case studies have been carried out by considering the various wind power output levels of WTGUs to examine its impact on system voltage performance. From the comparative analysis, the power factor based model can be the best choice over the other models (which are based on voltages) for the system studies with fixed/semi-variable speed WTGUs. © 2017 Walter de Gruyter GmbH, Berlin/Boston 2017.Item 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 LtdItem 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).