Output voltage sensor based DMPPT with parallel configuration for PV systems under partial shading conditions

Muralidhar Killi, Susovon Samanta

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

2 Citations (Scopus)

Abstract

Photovoltaic (PV) module mismatching and non-uniform insolation conditions are the major drawbacks of the PV systems. The distributed maximum power point tracking (DMPPT) method is an effective solution to mitigate these drawbacks but, the DMPPT with conventional algorithms requires more sensors to implement. A single output voltage sensor based DMPPT algorithm with parallel configuration is presented in this paper. The operating point of each PV module is regulated independently through a single microcontroller. The output voltage sensor based DMPPT is developed based on the output voltage characteristics with respect to the converter duty cycle and its mathematical validation is presented in this paper. The proposed DMPPT algorithm is validated through experimentation by using the developed prototype with two designed SEPIC (single ended primary inductance converter) converters, two PV modules and a microcontroller.

Original languageEnglish
Title of host publication2016 IEEE Annual India Conference, INDICON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509036462
DOIs
Publication statusPublished - 31-01-2017
Event2016 IEEE Annual India Conference, INDICON 2016 - Bangalore, India
Duration: 16-12-201618-12-2016

Conference

Conference2016 IEEE Annual India Conference, INDICON 2016
CountryIndia
CityBangalore
Period16-12-1618-12-16

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications
  • Instrumentation

Cite this

Killi, M., & Samanta, S. (2017). Output voltage sensor based DMPPT with parallel configuration for PV systems under partial shading conditions. In 2016 IEEE Annual India Conference, INDICON 2016 [7838861] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INDICON.2016.7838861