Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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    Performance analysis of automated QFT robust controller for long-term grid tied PV simulations
    (Institute of Electrical and Electronics Engineers Inc., 2020) Gudimindla, H.; Krishnamurthy, M.S.; Sandhya, S.
    Long-term simulations are significant to understand the real-time operation of grid-tied renewable energy system configurations. Grid-tied photovoltaic system (GPV) is highly non-linear due to the dependency of real-time meteorological conditions. The non-linear behavior of the photovoltaic (PV) system with the power electronic converter makes the long-term simulation inefficient and slow. This paper presents an efficient and simple modelling approach for GPV modelling suitable for long-term simulations. The recent advancements in control strategies and system configurations, sub-module level controller operation gained much interest but the simulation of such systems can be very challenging due to a large number of power electronic components and their control, non-linear behavior of PV system. This paper proposed a genetic algorithm based robust controller design in the quantitative feedback theory (QFT) framework to extract the maximum power from GPV at the sub-module level to extradict the power losses due to partial shading conditions. The performance of the proposed controller at the PV sub-module level is evaluated through comparison with the Q-parameterization based controller. The proposed QFT methodology based robust controller is shown to have advantages over Q-parameterization approach to simulate long-term GPV operation. © 2020 IEEE.
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    Complementary Terminal Sliding Mode Control for Variable Speed Wind Turbine
    (Institute of Electrical and Electronics Engineers Inc., 2023) RAJENDRAN, S.; Jena, D.; Diaz-D, M.
    The reduction in transient loads on the drive train influences the life span of the wind turbine when designing the controller for power extraction. In wind turbines, compromises between the efficiency of power extraction and the load level on the drive train have become key issues. Conventional control techniques enhanced energy extraction at the cost of a higher transient load on the drive train. Therefore, this work proposes the complementary terminal sliding mode controller for energy extraction whilst reducing the drive train load. A 600 kW FAST simulator is utilised to validate the performance of the proposed and conventional controllers. Finally, a detailed investigation has been conducted based on energy extraction and mitigation of transient loads under various turbulence models and mean wind speeds. © 2023 IEEE.