An FPGA Kalman-MPPT Implementation Adapted in SST-Based Dual Active Bridge Converters for DC Microgrids Systems

The design of digital hardware controllers for the integration of renewable energy sources in DC microgrids is a research topic of interest. In this paper, a Kalman filter-based maximum power point tracking algorithm is implemented in an FPGA and adapted in a dual active bridge (DAB) converter topol...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.202946-202957
Main Authors: Becerra-Nunez, Guillermo, Castillo-Atoche, Alejandro, Vazquez-Castillo, Javier, Datta, Asim, Quijano-Cetina, Renan Gabriel, Pena-Alzola, Rafael, Carrasco-Alvarez, Roberto, Osorio-De-La-Rosa, Edith
Format: Article
Language:English
Subjects:
Adaptation models
Algorithms
Co-design
DC-DC power converters
Distributed generation
Electric bridges
Electric converters
Field programmable gate arrays
Hardware
Kalman filters
Lookup tables
Mathematical model
Maximum power point trackers
Maximum power tracking
Microgrids
Polynomials
power generation
Renewable energy sources
Topology
Weather
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Summary:The design of digital hardware controllers for the integration of renewable energy sources in DC microgrids is a research topic of interest. In this paper, a Kalman filter-based maximum power point tracking algorithm is implemented in an FPGA and adapted in a dual active bridge (DAB) converter topology for DC microgrids. This approach uses the Hardware/Software (HW/SW) co-design paradigm in combination with a pipelined piecewise polynomial approximation design of the Kalman-maximum power point tracking (MPPT) algorithm instead of traditional lookup table (LUT)-based methods. Experimental results reveal a good integration of the Kalman-MPPT design with the DAB-based converter, particularly during irradiation and temperature variations due to changes in weather conditions, as well as a good-balanced hardware design in complexity and area-time performance compared to other state-of-art FPGA designs.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3033718