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A Novel Fuzzy Logic-Controlled Vienna Rectifier to Extract Maximum Power in the Grid-Connected Wind Energy System Applications

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Energy and Exergy for Sustainable and Clean Environment, Volume 2

Part of the book series: Green Energy and Technology ((GREEN))

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Abstract

In this paper, a novel fuzzy logic-controlled Vienna rectifier to extract maximum power at variable wind speed is proposed. Vienna rectifier consists of three switches and four diodes with an input inductor and performs both AC/DC and DC/DC conversions in a single stage. A permanent magnet synchronous generator (PMSG) coupled with wind turbine system is used in this paper. The tracking of the maximum power is a real challenge in wind energy systems. In this paper, the variable speed of the wind turbine generator system and the power output of the permanent magnet synchronous generator are chosen as inputs to the fuzzy logic controller to track the maximum power according to the change in wind speed by following 27 set of rules formulated in the fuzzy rule base. The pulse width modulated signals from the fuzzy logic controller initiate the three switches in the Vienna rectifier. The proposed control scheme not only tracks the maximum power from the wind but also enhances the input DC voltage, ensures sinusoidal nature at input mains and balances the voltage across the two capacitors. The Vienna rectifier is interfaced to the grid through space vector pulse width modulated voltage source inverter. The MATLAB/Simulink environment is utilized in order to observe the optimum performance of the system. The proposed control algorithm is experimentally validated using a real-time simulator OPAL RT 4200. The experimental results are in agreement with simulation results and prove the robustness of the control scheme.

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Acknowledgements

The author’s want to thank DST-SERB, statutory body established through an act of parliament: SERB Act 2008, the Government of India, for their financial assistance for the undergoing project under project reference no. SERB—SB/S3/EECE/090/2016 and also the management of NIT Meghalaya (An Institute of National Importance) for their constant support to carry out the work.

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Authors and Affiliations

  1. National Institute of Technology Meghalaya, Shillong, Meghalaya, India

    Hari Charan Nannam & Atanu Banerjee

Authors
  1. Hari Charan Nannam
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  2. Atanu Banerjee
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Correspondence to Hari Charan Nannam .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey

    V. Edwin Geo

  2. INSA Hauts-de-France, Université Polytechnique Hauts-de-France (LAMIH UMR CNRS 8201), Valenciennes, France

    Fethi Aloui

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Nannam, H.C., Banerjee, A. (2023). A Novel Fuzzy Logic-Controlled Vienna Rectifier to Extract Maximum Power in the Grid-Connected Wind Energy System Applications. In: Edwin Geo, V., Aloui, F. (eds) Energy and Exergy for Sustainable and Clean Environment, Volume 2. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-8274-2_1

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  • DOI: https://doi.org/10.1007/978-981-16-8274-2_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8273-5

  • Online ISBN: 978-981-16-8274-2

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