A Decentralized Current-Sharing Controller Endows Fast Transient Response to Parallel DC-DC Converters

Publikation: Forskning - peer reviewTidsskriftartikel

Abstract

This paper proposes a decentralized current-sharing control strategy to endow fast transient response to paralleled DC-DC converters systems, such as DC microgrids or distributed power systems. The proposed controller consist of two main control loops: an external voltage droop control for current-sharing proposes and an internal current loop. The external droop control loop is designed as a voltage loop with embedded virtual impedance, which avoids the use of a slow voltage loop and a separate extra virtual impedance loop that may limit the system bandwidth. The internal current loop, thanks to the external control loop simplification, plays a major role in the system bandwidth, so that an adaptive PI controller is proposed for this matter. In the paper, two different droop control methods have been modeling, designed, simulated, and tested: the conventional virtual-impedance-loop based V-I droop and the proposed embedded-virtual-impedance based I-V droop. In order to compare the dynamic response performances between two droop controllers, their state-space models have been developed and analyzed in this paper. The results show that the dynamic response of the I-V droop control is faster than that of the conventional V-I droop control. Furthermore, by analyzing the effects from I-V droop control parameters, the errors can be reduced faster by enlarging the proportional terms, but with no fluctuations, and then completely eliminated by restoring back to small proportional values. Meanwhile, there exists a trade-off phenomenon between the fast dynamic response and good steady-state performance, thus an adaptive PI controller is proposed to both improve dynamic response and guarantee good steady-state performance simultaneously. Experimental results are shown to verify the accuracy of the models and the effectiveness of the proposed control framework.
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Detaljer

This paper proposes a decentralized current-sharing control strategy to endow fast transient response to paralleled DC-DC converters systems, such as DC microgrids or distributed power systems. The proposed controller consist of two main control loops: an external voltage droop control for current-sharing proposes and an internal current loop. The external droop control loop is designed as a voltage loop with embedded virtual impedance, which avoids the use of a slow voltage loop and a separate extra virtual impedance loop that may limit the system bandwidth. The internal current loop, thanks to the external control loop simplification, plays a major role in the system bandwidth, so that an adaptive PI controller is proposed for this matter. In the paper, two different droop control methods have been modeling, designed, simulated, and tested: the conventional virtual-impedance-loop based V-I droop and the proposed embedded-virtual-impedance based I-V droop. In order to compare the dynamic response performances between two droop controllers, their state-space models have been developed and analyzed in this paper. The results show that the dynamic response of the I-V droop control is faster than that of the conventional V-I droop control. Furthermore, by analyzing the effects from I-V droop control parameters, the errors can be reduced faster by enlarging the proportional terms, but with no fluctuations, and then completely eliminated by restoring back to small proportional values. Meanwhile, there exists a trade-off phenomenon between the fast dynamic response and good steady-state performance, thus an adaptive PI controller is proposed to both improve dynamic response and guarantee good steady-state performance simultaneously. Experimental results are shown to verify the accuracy of the models and the effectiveness of the proposed control framework.
OriginalsprogEngelsk
TidsskriftI E E E Transactions on Power Electronics
Volume/BindPP
Tidsskriftsnummer99
ISSN0885-8993
DOI
StatusE-pub ahead of print - jun. 2017
PublikationsartForskning
Peer reviewJa
ID: 259607600