Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control

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

Research output: Contribution to journalArticle

223 Scopus citations

Abstract

This study develops a maximum power point tracking algorithm that optimizes solar array performance and adapts to rapidly varying irradiance conditions. In particular, a novel extremum seeking (ES) controller that utilizes the natural inverter ripple is designed and tested on a simulated solar array with a grid-tied inverter. The new algorithm is benchmarked against the perturb and observe (PO) method using high-variance irradiance data gathered on a rooftop array experiment in Princeton, NJ. The ES controller achieves efficiencies exceeding 99% with transient rise-time to the maximum power point of less than 0.1 s. It is shown that voltage control is more stable than current control and allows for accurate tracking of faster irradiance transients. The limitations of current control are demonstrated in an example. Finally, the effect of capacitor size on the performance of ripple-based ES control is investigated.

Original languageEnglish (US)
Article number5460938
Pages (from-to)2531-2540
Number of pages10
JournalIEEE Transactions on Power Electronics
Volume25
Issue number10
DOIs
StatePublished - Oct 14 2010

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • Current control
  • DC - AC power conversion
  • control systems
  • extremum seeking control
  • inverters
  • optimization methods
  • photovoltaic power systems

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