Faculty Publications

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    Standalone Single Stage PV-Fed Reduced Switch Inverter Based PMSM for Water Pumping Application
    (Institute of Electrical and Electronics Engineers Inc., 2020) Koothu Kesavan, K.K.; Karthikeyan, A.; Varsha, S.; Venkatesa Perumal, B.V.; Mishra, S.
    This article proposes a standalone single stage photovoltaic (PV) fed reduced switch inverter (RSI) based permanent magnet synchronous motor (PMSM) drive for water pumping application. The proposed system aims at reducing the switching losses and overall cost by using reduced switch inverter. The proposed system comprises a PMSM drive, fed by PV source through an inverter employing reduced number of switches. The inverter uses only four switches whereas the conventional voltage source inverter utilizes six switches. Field oriented control scheme is employed to control the PMSM drive. Perturb and observe maximum power point tracking technique is used to generate a speed reference to PMSM drive. The proposed system is simulated using MATLAB/Simulink platform, and it is also experimentally verified with field programmable gate array (FPGA) controller based 400 W laboratory prototype PMSM drive. The simulation and experimental results demonstrate the efficacy of the proposed system. © 1972-2012 IEEE.
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    Single-stage PV-powered boost inverter-fed permanent-magnet synchronous motor-driven water-pumping system
    (Oxford University Press, 2022) Koothu Kesavan, K.K.; Sunkara, V.; Karthikeyan, A.
    In this paper, a photovoltaic (PV) fed boost inverter-based permanent-magnet synchronous motor (PMSM)-driven water-pumping system for stand-alone applications is proposed. The proposed system comprises PV panel, six switches, three inductors (L), three capacitors (C) and a water pump. In this work, the boost inverter is designed with a gain of two and thereby the direct current input required to run the motor is considerably reduced. Hence, the size of the system is reduced. The voltage gain factor depends upon the placement of the L and C components and their values. The speed reference is generated using a perturb and observe maximum power point tracking algorithm. Vector control is employed to control a boost inverter-fed PMSM drive. The proposed system is simulated using a MATLAB®/Simulink® environment and experimental validation is performed on a PMSM laboratory prototype using a field programmable gate array controller. The simulation and experimental results demonstrate the effectiveness of the proposed system. © 2022 The Author(s). Published by Oxford University Press on behalf of National Institute of Clean-and-Low-Carbon Energy.
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    A Novel Algorithm Based on Voltage and Current Perturbation to Track Global Peak Under Partial Shading Conditions
    (Institute of Electrical and Electronics Engineers Inc., 2022) P, P.; Vignesh Kumar, V.; Koothu Kesavan, K.K.; Balasubramanian, B.
    Under partial shading conditions, photovoltaic (PV) systems exhibit multiple peaks in their power-voltage (P-V) characteristics. It is essential to extract maximum energy from the PV system. The global maximum power point tracking (GMPPT) algorithms presented in the literature, track the global peak using different methods. It is imperative to have minimal convergence time for GMPPT process. This paper proposes a novel algorithm to track the global peak using voltage and current perturbation. The new GMPPT algorithm operates in a current perturbation or voltage perturbation mode, based on the value of a control variable. In either mode, the proposed technique generates reference current or reference voltage, for navigating the operating point to GMPP location. The proposed algorithm is compared with two GMPPT algorithms, namely, modified maximum power trapezium (M-MPT) and high-performance GMPPT algorithms. The simulation studies are performed in MATLAB and is validated using a laboratory prototype, with dSPACE 1202 MicroLabBox controller for implementing GMPPT methods. Simulation and experimental results show that the new technique exhibits superior performance in terms of tracking time. Also, the energy efficiency is improved by 40% while using the proposed GMPPT algorithm for the irradiance profiles considered in this paper compared to the other two techniques. © 1986-2012 IEEE.
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    Development of Small Signal Model and Stability Analysis of PV-Grid Integration System for EV Charging Application
    (Institute of Electrical and Electronics Engineers Inc., 2024) Kanimozhi, K.; Koothu Kesavan, K.K.; Nagendrappa, N.; Balasubramanian, B.
    In this article, grid interactive photovoltaic (PV) system is designed for an electric vehicle (EV) charging application, and the stability of the system is analyzed. The small signal model for the system is derived by averaging and linearizing the state space equations, and the condition for stable operation of PV-integrated charger system is identified from the transfer functions. The proposed charger system implements a coordinated control between the converters to maintain a power balance between the sources and load. System stability is examined using root-locus plots and in addition, the controller is designed to improve the overall stability and reliability of the system. The proposed method provides a general framework for modeling EV charging systems which also details the importance of deriving the model with multiple energy sources. Further, proposed topology has bidirectional capability, which transfers excess PV power to the grid during off-charging hours. The efficacy of the proposed method is verified using the MATLAB Simulink environment for the different scenarios, i.e., variation in the irradiation and disturbances in the grid voltage. The experimental study is conducted on a 1.5-kW laboratory prototype using a low-cost digital signal processing controller (launchpad TMS320F28027F) and the measured results authenticate the simulation findings. © 2020 IEEE.