An ANFIS artificial technique based maximum power tracker for standalone photovoltaic power generation

Neeraj Priyadarshi, Vigna K. Ramachandaramurthy, Sanjeevikumar Padmanaban, Farooque Azam, Amarjeet Kumar Sharma, J. P. Kesari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper mainly develops a buck-boost converter based standalone photovoltaic system (PV) for power generation with maximum power point tracking (MPPT).Buck/boost converter is controlled by an adaptive neuro fuzzy inference system (ANFIS) MPPT algorithm which is programmed in a microcontroller. Inverter current controller using dSPACE DS1104 is performed for this purpose. Reliability and validity of standalonephotovoltaicpower generation system is justified using found Simulink and hardware results.

Original languageEnglish
Title of host publication2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages102-107
Number of pages6
ISBN (Electronic)9781538666258
DOIs
Publication statusPublished - Oct 2018
Event2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 - Delhi, India
Duration: 22 Oct 201824 Oct 2018

Publication series

Name2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018

Conference

Conference2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
CountryIndia
CityDelhi
Period22/10/1824/10/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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  • Cite this

    Priyadarshi, N., Ramachandaramurthy, V. K., Padmanaban, S., Azam, F., Sharma, A. K., & Kesari, J. P. (2018). An ANFIS artificial technique based maximum power tracker for standalone photovoltaic power generation. In 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 (pp. 102-107). [8897386] (2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEICES.2018.8897386