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Maximum power point tracking for photovoltaic optimization using extremum seeking

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4 Author(s)
Brunton, S.L. ; Princeton Univ., Princeton, NJ, USA ; Rowley, C.W. ; Kulkarni, S.R. ; Clarkson, C.

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.

Published in:

Photovoltaic Specialists Conference (PVSC), 2009 34th IEEE

Date of Conference:

7-12 June 2009