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

TL;DR

This paper introduces a novel method combining a new parameterization and dynamic regressor extension and mixing to accurately and quickly identify the maximum power point of photovoltaic arrays from their current-voltage characteristics.

Contribution

It presents a new parameterization of the PV array model and applies a dynamic regressor extension and mixing technique for fast, precise maximum power point identification.

Findings

Accurate estimation of unknown parameters achieved

Fast convergence demonstrated through simulations

Effective identification of maximum power point based on concavity property

Abstract

This paper deals with the problem of identification of photovoltaic arrays' maximum power extraction point---information that is encrypted in the current-voltage characteristic equation. We propose a new parameterisation of the classical five parameter model of this function that, combined with the recently introduced identification technique of dynamic regressor extension and mixing, ensures a fast and accurate estimation of all unknown parameters. A concavity property of the current-voltage characteristic equation is then exploited to directly identify the desired voltage operating point. Realistic numerical examples via computer simulations are presented to assess the performance of the proposed approach.