Maximum power point tracking for photovoltaic optimization using extremum seeking

Steven L. Brunton, Clarence W. Rowley, Sanjeev R. Kulkarni, Charles Clarkson

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

18 Scopus citations

Abstract

This work develops a maximum power point tracking (MPPT) algorithm for optimizing solar array performance that is robust to rapidly varying weather conditions. In particular, a novel extremum seeking (ES) controller, which utilizes the inverter ripple, is designed and tested on a simulated array with grid-tied inverter. The new algorithm is benchmarked against the perturb and observe (PO) method using irradiance data gathered on a rooftop array experiment in Princeton, NJ. The extremum seeking controller achieves an efficiency of 99.7% and transient rise to the MPP of .1 seconds, which is 100 times faster than perturb and observe.

Original languageEnglish (US)
Title of host publication2009 34th IEEE Photovoltaic Specialists Conference, PVSC 2009
Pages13-16
Number of pages4
DOIs
StatePublished - 2009
Event2009 34th IEEE Photovoltaic Specialists Conference, PVSC 2009 - Philadelphia, PA, United States
Duration: Jun 7 2009Jun 12 2009

Publication series

NameConference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)0160-8371

Other

Other2009 34th IEEE Photovoltaic Specialists Conference, PVSC 2009
Country/TerritoryUnited States
CityPhiladelphia, PA
Period6/7/096/12/09

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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