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

Journal article (2015)

Authors

P. Manganiello Università degli Studi della Campania “Luigi Vanvitelli”, University of Salerno
Mattia Ricco Observatoire de Paris
Giovanni Petrone University of Salerno
Eric Monmasson Observatoire de Paris
G. Spagnuolo University of Salerno
Affiliation
External organisation
DC-DC converters System identification Photovoltaic systems Real-time optimization Dual Kalman filter Field programmable gate array
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Published Date

01-11-2015

Language

English

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Abstract

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.