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This paper deals with the problem of identification of photovoltaic arrays'maximum power extraction point---information that is encrypted in thecurrent-voltage characteristic equation. We propose a new parameterisation ofthe classical five parameter model of this function that, combined with therecently introduced identification technique of dynamic regressor extension andmixing, ensures a fast and accurate estimation of all unknown parameters. Aconcavity property of the current-voltage characteristic equation is thenexploited to directly identify the desired voltage operating point. Realisticnumerical examples via computer simulations are presented to assess theperformance of the proposed approach.

Identification of Photovoltaic Arrays' Maximum Power Extraction Point via Dynamic Regressor Extension and Mixing