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Performance Analysis of Grid Connected Modified Z-Source High Step up Inverter for Solar Photovoltaic System

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Intelligence in Big Data Technologies—Beyond the Hype

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1167))

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Abstract

The modified Z-source inverters, which ensure better power conversion in multiple voltage levels to achieve build on power quality, improved electromagnetic compatibility, voltage boosting and minimum switching losses. For the purpose of comparison, examination of existing Z-source inverter topologies under different switching schemes were made, and new modified high step up Z-source inverter topologies are proposed. Proposed inverter with maximum constant boost switching scheme is employing third harmonic injection for better voltage boost inversion. A new Z-source network-based DC/AC converter topology is carried out and compared with other existing Z-source inverter-based DC/DC converters to be acquired at the front side of the solar PV power supply system with maintaining constant output voltage and fed to grid interconnection.

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Authors and Affiliations

  1. ME Power Electronics and Drives, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India

    Y. Pavithra

  2. Professor, Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore, India

    K. Lakshmi

Authors
  1. Y. Pavithra
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  2. K. Lakshmi
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Corresponding author

Correspondence to Y. Pavithra .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India

    J. Dinesh Peter

  2. Department of Computer Science, University of Central Florida, Orlando, FL, USA

    Steven L. Fernandes

  3. Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA, USA

    Amir H. Alavi

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Pavithra, Y., Lakshmi, K. (2021). Performance Analysis of Grid Connected Modified Z-Source High Step up Inverter for Solar Photovoltaic System. In: Peter, J., Fernandes, S., Alavi, A. (eds) Intelligence in Big Data Technologies—Beyond the Hype. Advances in Intelligent Systems and Computing, vol 1167. Springer, Singapore. https://doi.org/10.1007/978-981-15-5285-4_56

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