Faculty Publications

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Author: search.filters.author.Lazar, A.Has files: No

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    Stability Analysis of a Grid-Connected DFIG Operating in Sub-synchronous and Super-synchronous Conditions
    (Institute of Electrical and Electronics Engineers Inc., 2022) Lazar, A.; Kotian, S.M.
    This paper examines the impact of power grid strength, power level, rotor side converter (RSC) controller parameters, and shaft parameters on the small-signal stability of a doubly fed induction generator (DFIG)-integrated power system. In each of the parametric variations, both sub-and super-synchronous operating conditions of DFIG are considered. Using the eigenvalue technique the effects of parameter are analyzed and these eigen-inferences are further validated using time-domain simulations. From the analysis it is observed that the in sub-synchronous operating point, weak-grid conditions and RSC controller parameters may result in small-signal instability. © 2022 IEEE.
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    A Novel Method for Calculating Steady-State Operating Conditions for DFIG-Based Wind Turbines
    (Institute of Electrical and Electronics Engineers Inc., 2024) Lazar, A.; Navaneeth, K.; Kotian, S.M.
    This paper utilizes a modified Newton-Raphson (MNR) iterative technique for steady-state initialization of doubly fed induction generator (DFIG)-based wind turbine (WT) connected to the grid. The MNR technique discussed in this paper is based on the Adomian decomposition method. The steady-state values obtained using the MNR method are compared with those obtained using the conventional Newton-Raphson (NR) method to check the accuracy of the MNR method. Further, the number of iterations taken for both methods to converge was compared. From the case studies, it is noted that the MNR method results in steady-state values, which are identical to those obtained using the NR method with lesser number of iterations. The steady-state values calculated using the MNR method are utilized to carry out the eigenvalue analysis and time-domain simulations of a DFIG-based WT power system. © 2024 IEEE.