The Experts below are selected from a list of 29265 Experts worldwide ranked by ideXlab platform

Katsumi Uezato - One of the best experts on this subject based on the ideXlab platform.

  • neural network based maximum power point tracking of coupled inductor interleaved boost converter supplied pv system using fuzzy controller
    IEEE Transactions on Industrial Electronics, 2003
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    The photovoltaic (PV) generator exhibits a nonlinear V-I characteristic and its maximum power (MP) point varies with solar insolation. In this paper, a feedforward MP-point tracking scheme is developed for the coupled-inductor interleaved-boost-converter-fed PV system using a fuzzy controller. The proposed converter has lower switch current stress and improved efficiency over the noncoupled converter system. For a given solar insolation, the tracking algorithm changes the duty ratio of the converter such that the solar cell Array Voltage equals the Voltage corresponding to the MP point. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous Array Voltage and reference Voltage corresponding to the MP point. Depending on the error and change of error signals, the fuzzy controller generates a control signal for the pulsewidth-modulation generator which in turn adjusts the duty ratio of the converter. The reference Voltage corresponding to the MP point for the feedforward loop is obtained by an offline trained neural network. Experimental data are used for offline training of the neural network, which employs a backpropagation algorithm. The proposed peak power tracking effectiveness is demonstrated through simulation and experimental results. Tracking performance of the proposed controller is also compared with the conventional proportional-plus-integral-controller-based system. These studies reveal that the fuzzy controller results in better tracking performance.

  • feedforward maximum power point tracking of pv systems using fuzzy controller
    IEEE Transactions on Aerospace and Electronic Systems, 2002
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    A feedforward maximum power (MP) point tracking scheme is developed for the interleaved dual boost (IDB) converter fed photovoltaic (PV) system using fuzzy controller. The tracking algorithm changes the duty ratio of the converter such that the solar cell Array (SCA) Voltage equals the Voltage corresponding to the MP point at that solar insolation. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous Array Voltage and reference Voltage. The reference Voltage for the feedforward loop, corresponding to the MP point, is obtained by an off-line trained neural network. Experimental data is used for off-line training of the neural network, which employs back-propagation algorithm. The proposed fuzzy feedforward peak power tracking effectiveness is demonstrated through the simulation and experimental results, and compared with the conventional proportional plus integral (PI) controller based system. Finally, a comparative study of interleaved boost and conventional boost converter for the PV applications is given and their suitability is discussed.

  • Voltage-based maximum power point tracking control of PV system
    IEEE Transactions on Aerospace and Electronic Systems, 2002
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    Photovoltaic (PV) generators exhibit nonlinear v-i characteristics and maximum power (MP) points that vary with solar insolation. An intermediate converter can therefore increase efficiency by matching the PV system to the load and by operating the solar cell Arrays (SCAs) at their maximum power point. An MP point tracking algorithm is developed using only SCA Voltage information thus leading to current sensorless tracking control. The inadequacy of a boost converter for Array Voltage based MP point control is experimentally verified and an improved converter system is proposed. The proposed converter system results in low ripple content, which improves the Array performance and hence a lower value of capacitance is sufficient on the solar Array side. Simplified mathematical expressions for a PV source are derived. A signal flow graph is employed for modeling the converter system. Current sensorless peak power tracking effectiveness is demonstrated through simulation results. Experimental results are presented to validate the proposed method.

Vivek Agarwal - One of the best experts on this subject based on the ideXlab platform.

  • a single stage grid connected inverter topology for solar pv systems with maximum power point tracking
    IEEE Transactions on Power Electronics, 2007
    Co-Authors: Sachin H Jain, Vivek Agarwal
    Abstract:

    This paper proposes a high performance, single-stage inverter topology for grid connected PV systems. The proposed configuration can not only boost the usually low photovoltaic (PV) Array Voltage, but can also convert the solar dc power into high quality ac power for feeding into the grid, while tracking the maximum power from the PV Array. Total harmonic distortion of the current, fed into the grid, is restricted as per the IEEE-519 standard. The proposed topology has several desirable features such as better utilization of the PV Array, higher efficiency, low cost and compact size. Further, due to the very nature of the proposed topology, the PV Array appears as a floating source to the grid, thereby enhancing the overall safety of the system. A survey of the existing topologies, suitable for single-stage, grid connected PV applications, is carried out and a detailed comparison with the proposed topology is presented. A complete steady-state analysis, including the design procedure and expressions for peak device stresses, is included. Necessary condition on the modulation index "M" for sinusoidal pulsewidth modulated control of the proposed inverter topology has also been derived for discontinuous conduction mode operation. All the analytical, simulation and experimental results are presented.

Sandeep Anand - One of the best experts on this subject based on the ideXlab platform.

  • integrated dc dc converter based grid connected transformerless photovoltaic inverter with extended input Voltage range
    IEEE Transactions on Power Electronics, 2018
    Co-Authors: Anup Anurag, Nachiketa Deshmukh, Avinash Maguluri, Sandeep Anand
    Abstract:

    Owing to low cost, small size, and low weight, transformerless inverters became prominent in single-phase grid connected photovoltaic (PV) systems. Key issues pertaining to these inverters include suppression of common mode (CM) leakage current and improvement of conversion efficiency. Achieving higher efficiency in single-phase grid-connected photovoltaic systems depends on the number of stages involved in feeding power to the grid, predominantly, if the PV Array Voltage is less than the peak value of the grid Voltage. In this paper, an integrated dc–dc converter based grid-connected transformerless PV inverter is proposed which is aimed at maintaining high efficiency, even if the PV Array Voltage falls below the peak value of grid Voltage (efficient operation at an extended input Voltage range). A modulation strategy is discussed in order to minimize the flow of CM leakage current. Further, the efficiencies of certain transformerless inverter topologies are analyzed and compared with that of the proposed topology. Detailed simulation studies are carried out in MATLAB/Simulink environment to verify the analysis. Experimental results for a scaled down laboratory prototype are included as a proof-of-concept to validate the claims.

Mummadi Veerachary - One of the best experts on this subject based on the ideXlab platform.

  • neural network based maximum power point tracking of coupled inductor interleaved boost converter supplied pv system using fuzzy controller
    IEEE Transactions on Industrial Electronics, 2003
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    The photovoltaic (PV) generator exhibits a nonlinear V-I characteristic and its maximum power (MP) point varies with solar insolation. In this paper, a feedforward MP-point tracking scheme is developed for the coupled-inductor interleaved-boost-converter-fed PV system using a fuzzy controller. The proposed converter has lower switch current stress and improved efficiency over the noncoupled converter system. For a given solar insolation, the tracking algorithm changes the duty ratio of the converter such that the solar cell Array Voltage equals the Voltage corresponding to the MP point. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous Array Voltage and reference Voltage corresponding to the MP point. Depending on the error and change of error signals, the fuzzy controller generates a control signal for the pulsewidth-modulation generator which in turn adjusts the duty ratio of the converter. The reference Voltage corresponding to the MP point for the feedforward loop is obtained by an offline trained neural network. Experimental data are used for offline training of the neural network, which employs a backpropagation algorithm. The proposed peak power tracking effectiveness is demonstrated through simulation and experimental results. Tracking performance of the proposed controller is also compared with the conventional proportional-plus-integral-controller-based system. These studies reveal that the fuzzy controller results in better tracking performance.

  • feedforward maximum power point tracking of pv systems using fuzzy controller
    IEEE Transactions on Aerospace and Electronic Systems, 2002
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    A feedforward maximum power (MP) point tracking scheme is developed for the interleaved dual boost (IDB) converter fed photovoltaic (PV) system using fuzzy controller. The tracking algorithm changes the duty ratio of the converter such that the solar cell Array (SCA) Voltage equals the Voltage corresponding to the MP point at that solar insolation. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous Array Voltage and reference Voltage. The reference Voltage for the feedforward loop, corresponding to the MP point, is obtained by an off-line trained neural network. Experimental data is used for off-line training of the neural network, which employs back-propagation algorithm. The proposed fuzzy feedforward peak power tracking effectiveness is demonstrated through the simulation and experimental results, and compared with the conventional proportional plus integral (PI) controller based system. Finally, a comparative study of interleaved boost and conventional boost converter for the PV applications is given and their suitability is discussed.

  • Voltage-based maximum power point tracking control of PV system
    IEEE Transactions on Aerospace and Electronic Systems, 2002
    Co-Authors: Mummadi Veerachary, Tomonobu Senjyu, Katsumi Uezato
    Abstract:

    Photovoltaic (PV) generators exhibit nonlinear v-i characteristics and maximum power (MP) points that vary with solar insolation. An intermediate converter can therefore increase efficiency by matching the PV system to the load and by operating the solar cell Arrays (SCAs) at their maximum power point. An MP point tracking algorithm is developed using only SCA Voltage information thus leading to current sensorless tracking control. The inadequacy of a boost converter for Array Voltage based MP point control is experimentally verified and an improved converter system is proposed. The proposed converter system results in low ripple content, which improves the Array performance and hence a lower value of capacitance is sufficient on the solar Array side. Simplified mathematical expressions for a PV source are derived. A signal flow graph is employed for modeling the converter system. Current sensorless peak power tracking effectiveness is demonstrated through simulation results. Experimental results are presented to validate the proposed method.

Sachin H Jain - One of the best experts on this subject based on the ideXlab platform.

  • a single stage grid connected inverter topology for solar pv systems with maximum power point tracking
    IEEE Transactions on Power Electronics, 2007
    Co-Authors: Sachin H Jain, Vivek Agarwal
    Abstract:

    This paper proposes a high performance, single-stage inverter topology for grid connected PV systems. The proposed configuration can not only boost the usually low photovoltaic (PV) Array Voltage, but can also convert the solar dc power into high quality ac power for feeding into the grid, while tracking the maximum power from the PV Array. Total harmonic distortion of the current, fed into the grid, is restricted as per the IEEE-519 standard. The proposed topology has several desirable features such as better utilization of the PV Array, higher efficiency, low cost and compact size. Further, due to the very nature of the proposed topology, the PV Array appears as a floating source to the grid, thereby enhancing the overall safety of the system. A survey of the existing topologies, suitable for single-stage, grid connected PV applications, is carried out and a detailed comparison with the proposed topology is presented. A complete steady-state analysis, including the design procedure and expressions for peak device stresses, is included. Necessary condition on the modulation index "M" for sinusoidal pulsewidth modulated control of the proposed inverter topology has also been derived for discontinuous conduction mode operation. All the analytical, simulation and experimental results are presented.