A data-driven based voltage control strategy for DC-DC converters

Application to DC microgrid

Journal Article (2019)
Author(s)

Kumars Rouzbehi (University of Seville)

Arash Miranian (University of Tehran)

Juan Manuel Escaño (University of Seville)

Elyas Rakhshani (TU Delft - Intelligent Electrical Power Grids)

Negin Shariati (University of Technology Sydney)

E Pouresmaeil (Aalto University)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2019 Kumars Rouzbehi, Arash Miranian, Juan Manuel Escaño, E. Rakhshani, Negin Shariati, Edris Pouresmaeil
DOI related publication
https://doi.org/10.3390/electronics8050493
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Kumars Rouzbehi, Arash Miranian, Juan Manuel Escaño, E. Rakhshani, Negin Shariati, Edris Pouresmaeil
Research Group
Intelligent Electrical Power Grids
Issue number
5
Volume number
8
Pages (from-to)
1-14
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Abstract

This paper develops a data-driven strategy for identification and voltage control for DC-DC power converters. The proposed strategy does not require a pre-defined standard model of the power converters and only relies on power converter measurement data, including sampled output voltage and the duty ratio to identify a valid dynamic model for them over their operating regime. To derive the power converter model from the measurements, a local model network (LMN) is used, which is able to describe converter dynamics through some locally active linear sub-models, individually responsible for representing a particular operating regime of the power converters. Later, a local linear controller is established considering the identified LMN to generate the control signal (i.e., duty ratio) for the power converters. Simulation results for a stand-alone boost converter as well as a bidirectional converter in a test DC microgrid demonstrate merit and satisfactory performance of the proposed data-driven identification and control strategy. Moreover, comparisons to a conventional proportional-integral (PI) controllers demonstrate the merits of the proposed approach.