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Design of SVPWM-Based Two-Leg VSI for Solar PV Grid-Connected Systems

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

Abstract

In this work, a four-switch Voltage Source Inverter (VSI) is considered for highly efficient and low power solar PV grid-connected applications to optimize the cost and size of the PV system. The Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) technique is used to track Maximum Power Point (MPP) of solar PV. This technique is simple, easy to design, and less complexity. By using two-leg four-switch inverter (B-4 inverter) the cost of the PV system can be reduced compared to six switch inverters, as the cost of inverter mainly depends on the cost of semiconductor switches. The boost converter is utilized to step-up the PV voltage. This work is to analyze the Space Vector Pulse Width Modulation Technique (SVPWM) in two-leg B-4 inverter topology to reduce the ripples at time of switching thereby reducing the Total Harmonic Distortion (THD) and reducing the inverter switching and conducting losses at high pulse width modulation frequency. Moreover, SVPWM technique improves the utilization factor of B-4 inverter. The results are analyzed by using MATLAB Simulink window.

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Acknowledgements

I would like to thank the University Grants Commission (Govt. of India) for funding my research program and I especially thank VIT University management for providing all the facilities to carry out my research work.

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Authors and Affiliations

  1. School of Electrical Engineering, VIT University, Vellore, India

    CH Hussaian Basha, V. Govinda Chowdary, C. Rani & R. M. Brisilla

  2. School of Energy and Environment, University of Derby, Derby, UK

    S. Odofin

Authors
  1. CH Hussaian Basha
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  2. V. Govinda Chowdary
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  3. C. Rani
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  4. R. M. Brisilla
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  5. S. Odofin
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Corresponding author

Correspondence to C. Rani .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Hussaian Basha, C., Govinda Chowdary, V., Rani, C., Brisilla, R.M., Odofin, S. (2020). Design of SVPWM-Based Two-Leg VSI for Solar PV Grid-Connected Systems. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_71

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