Faculty Publications

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    Harnessing maximum power from solar PV panel for water pumping application
    (Springer Verlag service@springer.de, 2013) Kappali, M.; Uday Kumar, R.Y.; Sheelavant, V.R.
    The problem of fast depleting fossil fuels is triggering exploration of alternate sources of electricity. Among such sources, Solar Photo Voltaic (PV) energy is gaining prominence due to its plentiful availability. Water pumping is an important application of solar PV power. However people are not opting for it in large numbers as the 'cost per watt' for solar pumping systems is high. The cost component can be reduced by harnessing more power per unit installed capacity of the solar panel. One method of realising this is by Maximum Power Point Tracking (MPPT) wherein a Power Electronic (PE) converter is used to match pump with the PV panel. Present paper deals with the MATLAB based simulation study of solar PV driven Permanent Magnet (PM) DC motor (brushed) Pump System. Two cases are considered: a) System without MPPT b) System with MPPT. It is shown that by varying duty cycle of the converter at different radiation levels, the pump speed and hence the useful mechanical output can be enhanced with MPPT. The simulation study reveals that the output power becomes the maximum when the motor voltage becomes the maximum. Hence it is proposed that the motor voltage can be used as a control parameter for varying the duty cycle of the converter in achieving maximum output. © 2013 Springer-Verlag.
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    A Novel PWM Technique for MPPT Tracking of PV-Based Cascaded H-bridge Multi-level Inverter
    (Institute of Electrical and Electronics Engineers Inc., 2023) Maheswari, G.; Manjunatha Sharma, K.M.; Prabhakaran, P.
    This paper presents a novel Pulse Width Modulation (PWM) technique designed for a Cascaded H-Bridge (CHB) grid-tied multilevel inverter used in Photovoltaic (PV) systems, featuring a single-stage power conversion. Each inverter's output voltage adopts a quasi-square waveform tailored to correspond with the power generated by the respective solar panel. A key highlight of this technique is its simplicity, avoiding complex implementation. By incorporating the proposed PWM technique into the cascaded H-Bridge inverters, it efficiently optimizes the Maximum Power Point Tracking (MPPT) for each PV panel, regardless of whether the irradiation conditions are uniform or non-uniform, while simultaneously achieving DC capacitor voltage balance. Moreover, employing this PWM technique simplifies the implementation process on a DSP, avoiding unnecessary complexity. © 2023 IEEE.
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    Maximizing Power Output: MPPT and Buck-Boost Converter Analysis in PV Applications
    (Institute of Electrical and Electronics Engineers Inc., 2024) Shiva Kumar, B.; Kunar, B.M.; Saida Nayak, R.
    Maximum power point tracking (MPPT) strategies are applied in PV applications for maximizing power and continuously evaluating the whole power point of photovoltaic (PV) modules under various atmospheric conditions. For it to be possible to match the source impedance to the load impedance for MPPT, numerous DC to DC converters (such as the Buck-boost, Boost, and Buck) are inserted between PV arrays and loads in the PV system, and their efficacy and assessments will be discussed in the remainder of this paper. All these DC-DC converters and MPPT tracking (P & O) algorithm are modelled using MATLAB/Simulink and results shows that the maximum power is enhanced with Buck-Boost converter than other dc-dc converters. © 2024 IEEE.
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    Harnessing maximum power from solar PV panel for water pumping application: A simple approach
    (2012) Kappali, M.; Uday Kumar, R.Y.
    Among alternate sources of electricity, solar photovoltaic (PV) energy is gaining prominence due to its plentiful availability. Water pumping is an important application of solar PV power. However people are not opting for it in large numbers as "cost per watt" for solar pumping systems is high and the reliability is poor due to complex technology. The cost can be reduced by harnessing more power per unit installed capacity of the solar panel. One of the methods of realizing this is by Maximum Power Point Tracking (MPPT) wherein a power electronic converter is used to match pump with the PV panel. Currently "panel power" is the widely employed control parameter for MPPT. This approach can be referred to as MPPTPP. Present paper proposes load voltage as control parameter for MPPT. Varying the duty cycle of the MPPT converter such that load voltage is always maximum leads to harnessing maximum power output. This approach can be referred to as MPPTLV. Here only one parameter i.e. load voltage needs to be monitored. MPPTLV is simpler than MPPTPP as in the latter case it"s necessary to measure both panel voltage and current and then find their product. The proposed method is substantiated by theoretical explanation followed by simulation as well as experimentation results. The system considered is a standalone PV source connected to Permanent Magnet (PM) brushed DC motor driving centrifugal pump.
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    Modeling a grid connected photovoltaic system with perturb and observe based maximum power point tracking
    (2013) Naik, A.; Yaragatti, U.
    This article deals with the integration study of distributed generation (DG) in the form of a photovoltaic (PV) plant in a three-phase system. Here the active power generated by the photovoltaic (PV) plant is injected into the grid system through a current controlled dual inverter topology. The main contribution in this article is the dual inverter topology. In this topology, a three level inverter output is obtained which reduces the PV injected current harmonic distortion into the grid. The control algorithm used in this article is simple and easy to implement. The PV system is operated through a maximum power point tracking (MPPT) stage. Perturb & Observe (P&O) is the modeling approach of MPPT system operation. The system is simulated and analyzed for a different set of loads with renewable source at different atmospheric conditions using MATLAB/ Simulink tool. The grid current becomes sinusoidal with three levels inverter and compared to existing three levels methods the dual inverter method is simple and easy to implement.
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    Solar Load Voltage Tracking for Water Pumping: An Algorithm
    (Springer India sanjiv.goswami@springer.co.in, 2015) Kappali, M.; Udayakumar, R.Y.
    Maximum power is to be harnessed from solar photovoltaic (PV) panel to minimize the effective cost of solar energy. This is accomplished by maximum power point tracking (MPPT). There are different methods to realise MPPT. This paper proposes a simple algorithm to implement MPPTlv method in a closed loop environment for centrifugal pump driven by brushed PMDC motor. Simulation testing of the algorithm is done and the results are found to be encouraging and supportive of the proposed method MPPTlv. © 2014, The Institution of Engineers (India).
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    Single-phase seven-level grid-connected photovoltaic system with ripple correlation control maximum power point tracking
    (International Journal of Renewable Energy Research, 2016) Sandeep, N.; Yaragatti, R.Y.
    This paper puts forward a control scheme for single-phase photovoltaic (PV) fed grid connected with cascade Hbridge (CHB) inverter. A unique control strategy based on the voltage ratio is proposed and is embedded with ripple correlation control (RCC) based maximum power point tracking (MPPT) to ensure the efficient energy conversion. The control scheme employed enables the independent operation and control of individual DC link voltage, ensuring the extraction of maximum power available from each PV panel. In addition, low harmonic grid currents are generated with an arbitrary power factor. Independent control of active and reactive power is exercised by decoupled component method. Numerical simulation was performed using the MATLAB/SIMULINK platform and results for three H-bridge cells connected in series are presented to support the theoretical concepts and control scheme proposed.
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    Design and implementation of single phase inverter based on Cuk converter for PV system
    (International Journal of Renewable Energy Research, 2017) Sabhahit, N.S.; Gaonkar, D.N.; Anandh, N.; Kumar, N.S.
    In this paper, analysis and hardware implementation of a single phase inverter based on Cuk converter for PV system is presented. The buck-boost characteristic of such a converter promotes flexibility for both grid tied as well as standalone connections where the ac voltage is either higher than or lesser than the dc input voltage. Further Cuk based topologies have the better efficiency and voltage regulation, which is a lacking feature in a basic boost or a buck configuration. The proposed system not only offers continuous input and output current but also controlled voltage over a wider range. Hence this topology can serve as an expedient alternative converter stage for photovoltaic applications. In the proposed bidirectional two-switch Cuk converter, DSPIC30F2010 controller is used for controlling the duty ratio of switching pulses. Also, this controller generates PWM signals for the switches of single phase H-bridge inverter. The hardware results for the developed prototype of a Cuk converter based single phase inverter are presented. The developed scheme can easily be scalable to a much larger rating of the PV system.
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    Design and performance analysis of quantitative feedback theory based automated robust controller: An application to uncertain autonomous wind power system
    (AIMS Press, 2018) Gudimindla, G.; Manjunatha, S.K.
    Use of a robust controller for handling the operational uncertainties has become imperative in real time. This paper presents a modified fitness function based automated robust controller with the aid of quantitative feedback theory (QFT) using Genetic algorithm (GA). A controller exhibiting the desired decreasing modular plot and descending phase response is devised. The addition of arctangent function as one of the fitness function term is the proposed modification that facilitates in capturing the ideal controller characteristics. The proposed controller is applied to extract maximum power from a permanent magnet synchronous generator based autonomous wind power system. The step by step design guidelines for the automated QFT robust controller is deliberated in detail. The performance evaluation is carried out for step change and stochastically varying wind speed. Finally, benchmarking of the proposed controller against those available in the literature is accomplished through extensive simulations and it will be shown that the maximum power extraction along with least electromagnetic torque oscillations are achieved with the proposed fitness function based automated QFT controller. © 2018 the Author(s).
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    Maximum power point tracking technique using artificial bee colony and hill climbing algorithms during mismatch insolation conditions on PV array
    (Institution of Engineering and Technology journals@theiet.org, 2018) Goud, J.S.; Kalpana, R.; Singh, B.; Kumar, S.
    This study presents a single current sensor based hybrid maximum power point tracking method to track the global maximum power point (GMPP) of the photovoltaic (PV) array during the mismatch insolation conditions. This method combines the artificial bee colony (ABC) and hill climbing (HC) algorithms to track the GMPP of a PV array. The proposed method uses the HC algorithm to identify the occurrence of mismatch insolation conditions on PV array. During the mismatch insolation conditions, the proposed method scans the battery charging current (Icharge) versus duty cycle (D) characteristics of the power electronic interface circuit to classify the type of shading pattern of P-V curve and also to identify the vicinity of the GMPP. Based on the kind of shading pattern of a P-V curve, the proposed method operates either ABC or HC algorithm to track the GMPP. To improve the convergence speed of the proposed method, the search space of the ABC algorithm is reduced. The proposed method is modelled and simulated in MATLAB software and its performance is validated experimentally for various mismatch insolation conditions. © The Institution of Engineering and Technology 2018.