Optimization of perturbative PV MPPT methods through online system identification

Patrizio Manganiello, Mattia Ricco, Giovanni Petrone, Eric Monmasson, Giovanni Spagnuolo

Research output: Contribution to journalArticleScientificpeer-review

64 Citations (Scopus)

Abstract

The maximum power point (MPP) tracking function allows one to extract the maximum power from the photovoltaic (PV) system in any operating condition. The perturb and observe technique is one of the mainly used algorithms aimed at this function. Its performances depend on the values of the two design parameters, which are the amplitude and the frequency of the perturbations that it applies in identifying the position of the MPP. In this paper, a method for the online optimization of the perturbation period is presented. It is based on the identification of the whole system, including the PV source and the dc/dc converter controlling it. The system impulse and frequency responses are evaluated by using the cross-correlation method. Such a technique, as well as the tracking algorithm, is effectively implemented by using a field-programmable gate array, and it is validated by means of simulation and experimental results.

Original languageEnglish
Article number6797917
Pages (from-to)6812-6821
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume61
Issue number12
DOIs
Publication statusPublished - 1 Dec 2014
Externally publishedYes

Keywords

  • DC-DC power converters
  • photovoltaic systems

Fingerprint Dive into the research topics of 'Optimization of perturbative PV MPPT methods through online system identification'. Together they form a unique fingerprint.

Cite this