Dual-Kalman-Filter-Based Identification and Real-Time Optimization of PV Systems

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

Research output: Contribution to journalArticleScientificpeer-review

17 Citations (Scopus)


In this paper, the use of the Dual Kalman Filter for the identification of photovoltaic system parameters is presented. The system includes the photovoltaic source, the dc/dc converter and the battery/dc bus and both its states and parameters in the actual operating conditions are identified. In particular, the proposed approach gives the confidence interval for the system settling time, which is used for the real-time optimization of the perturbative maximum power point tracking algorithm. The proposed technique is implemented by using a Field-Programmable Gate Array and it is validated by means of both simulation and experimental results.

Original languageEnglish
Article number7230278
Pages (from-to)7266-7275
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Issue number11
Publication statusPublished - 1 Nov 2015
Externally publishedYes


  • DC-DC converters
  • dual Kalman filter
  • field programmable gate array
  • photovoltaic systems
  • real-time optimization
  • system identification


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