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

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

doi:10.1109/TIE.2015.2475240

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 journal › Article › Scientific › peer-review

20 Citations (Scopus)

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.

Original language	English
Article number	7230278
Pages (from-to)	7266-7275
Number of pages	10
Journal	IEEE Transactions on Industrial Electronics
Volume	62
Issue number	11
DOIs	https://doi.org/10.1109/TIE.2015.2475240
Publication status	Published - 1 Nov 2015
Externally published	Yes

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TIE.2015.2475240

Cite this

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title = "Dual-Kalman-Filter-Based Identification and Real-Time Optimization of PV Systems",

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.",

keywords = "DC-DC converters, dual Kalman filter, field programmable gate array, photovoltaic systems, real-time optimization, system identification",

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AU - Manganiello, Patrizio

AU - Ricco, Mattia

AU - Petrone, Giovanni

AU - Monmasson, Eric

AU - Spagnuolo, Giovanni

PY - 2015/11/1

Y1 - 2015/11/1

N2 - 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.

AB - 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.

KW - DC-DC converters

KW - dual Kalman filter

KW - field programmable gate array

KW - photovoltaic systems

KW - real-time optimization

KW - system identification

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M3 - Article

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JF - IEEE Transactions on Industrial Electronics

IS - 11

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ER -

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

Abstract

Keywords

UN SDGs

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