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LLC Resonant Converter Based Incremental Conductance Maximum Power Point Tracking System for PV Applications

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9th International Conference on Robotic, Vision, Signal Processing and Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 398))

Abstract

Maximum power point tracking is one of the crucial element in photovoltaic (PV) power systems. Most of the conventional maximum power point tracking (MPPT) systems utilize pulse width modulated (PWM) dc-dc converter. PWM dc-dc converters usually have higher switching loss and high electromagnetic interference. On the other hand, resonant converters show good efficiency, soft switching capabilities and capable of high frequency operation over the conventional PWM converters. This paper proposes an incremental conductance MPPT using LLC resonant converter for PV power systems. The converter and the MPPT algorithm are implemented using MATLAB Simulink environment. The simulation results show the good performance of LLC resonant converter for maximum power tracking under varying environmental conditions.

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Acknowledgments

The authors would like to thank the University for providing all necessary facilities and equipment to make this research possible. This work was supported by Fundamental Research Grant Scheme (FRGS) 203/PELECT/6071307 from Kementerian Pendidikan Malaysia.

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Correspondence to Adrian Soon Theam Tan or Shahid Iqbal .

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© 2017 Springer Science+Business Media Singapore

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Soon Theam Tan, A., Iqbal, S., Ishak, D., Bin Masri, S. (2017). LLC Resonant Converter Based Incremental Conductance Maximum Power Point Tracking System for PV Applications. In: Ibrahim, H., Iqbal, S., Teoh, S., Mustaffa, M. (eds) 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 398. Springer, Singapore. https://doi.org/10.1007/978-981-10-1721-6_85

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  • DOI: https://doi.org/10.1007/978-981-10-1721-6_85

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1719-3

  • Online ISBN: 978-981-10-1721-6

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