Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency

Liran Zheng; Xiangyu Han; Rajendra Prasad Kandula; Deepak Divan

doi:10.1109/ECCE44975.2020.9236317

Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency

Liran Zheng, Xiangyu Han, Rajendra Prasad Kandula, Deepak Divan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This paper presents a fast predictive control method to minimize the dc-link current in current-source solid-state transformers (SST). The motivation for dc-link current reduction is to improve efficiency of the SST and reduce conduction loss and transformer winding loss, which are among the major loss mechanisms of the current source solid-state transformers. The proposed cycle-by-cycle dc-link current minimization strategy is realized by a predictive control method based on the converter model. The dynamic dc-link current reference is calculated each switching cycle by adding up the input and output phase current references with form factors. Therefore, it is adaptive to different loading conditions. Moreover, the control does not require high computational burden and is suitable for implementation in regular DSP for online calculation. In this paper, the improved soft-switching solid-state transformer (S4T) with reduced conduction loss is studied as an example of the current-source SST. The dc-link current minimization control method is verified in simulations and experiments at 2 kV under both steady-state and dynamic conditions. With the proposed control, dc-link current can be minimized to achieve approximately 18% loss reduction of the SST at the operating point under study.

Original language	English
Title of host publication	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1636-1641
Number of pages	6
ISBN (Electronic)	9781728158266
DOIs	https://doi.org/10.1109/ECCE44975.2020.9236317
State	Published - Oct 11 2020
Externally published	Yes
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: Oct 11 2020 → Oct 15 2020

Publication series

Name	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	10/11/20 → 10/15/20

Funding

This work is supported by ARPA-E under DE-AR0000899 and the Center for Distributed Energy (CDE), Georgia Institute of Technology. This work is also funded in part by the Center for Distributed Energy (CDE), Georgia Institute of Technology. The authors are grateful for the help of Brandon Royal, Zachary Laird, Joshua Boudreau, Xiwei Zheng, and mechanical engineering assistants with the Center for Distributed Energy in building the prototype.

Keywords

current-source converter (CSC)
dc-link current reduction
digital control
efficiency improvement
minimum dc-link current
model predictive control (MPC)
model predictive priority-shifting control (MPPS)
power electronic transformer (PET)

Access to Document

10.1109/ECCE44975.2020.9236317

Cite this

Zheng, L., Han, X., Prasad Kandula, R., & Divan, D. (2020). Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 1636-1641). Article 9236317 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE44975.2020.9236317

@inproceedings{a56667b6cd22497482c360e00930830b,

title = "Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency",

abstract = "This paper presents a fast predictive control method to minimize the dc-link current in current-source solid-state transformers (SST). The motivation for dc-link current reduction is to improve efficiency of the SST and reduce conduction loss and transformer winding loss, which are among the major loss mechanisms of the current source solid-state transformers. The proposed cycle-by-cycle dc-link current minimization strategy is realized by a predictive control method based on the converter model. The dynamic dc-link current reference is calculated each switching cycle by adding up the input and output phase current references with form factors. Therefore, it is adaptive to different loading conditions. Moreover, the control does not require high computational burden and is suitable for implementation in regular DSP for online calculation. In this paper, the improved soft-switching solid-state transformer (S4T) with reduced conduction loss is studied as an example of the current-source SST. The dc-link current minimization control method is verified in simulations and experiments at 2 kV under both steady-state and dynamic conditions. With the proposed control, dc-link current can be minimized to achieve approximately 18\% loss reduction of the SST at the operating point under study.",

keywords = "current-source converter (CSC), dc-link current reduction, digital control, efficiency improvement, minimum dc-link current, model predictive control (MPC), model predictive priority-shifting control (MPPS), power electronic transformer (PET)",

author = "Liran Zheng and Xiangyu Han and \{Prasad Kandula\}, Rajendra and Deepak Divan",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 ; Conference date: 11-10-2020 Through 15-10-2020",

year = "2020",

month = oct,

day = "11",

doi = "10.1109/ECCE44975.2020.9236317",

language = "English",

series = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1636--1641",

booktitle = "ECCE 2020 - IEEE Energy Conversion Congress and Exposition",

}

Zheng, L, Han, X, Prasad Kandula, R & Divan, D 2020, Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency. in ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9236317, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers Inc., pp. 1636-1641, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States, 10/11/20. https://doi.org/10.1109/ECCE44975.2020.9236317

Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency. / Zheng, Liran; Han, Xiangyu; Prasad Kandula, Rajendra et al.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1636-1641 9236317 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency

AU - Zheng, Liran

AU - Han, Xiangyu

AU - Prasad Kandula, Rajendra

AU - Divan, Deepak

PY - 2020/10/11

Y1 - 2020/10/11

N2 - This paper presents a fast predictive control method to minimize the dc-link current in current-source solid-state transformers (SST). The motivation for dc-link current reduction is to improve efficiency of the SST and reduce conduction loss and transformer winding loss, which are among the major loss mechanisms of the current source solid-state transformers. The proposed cycle-by-cycle dc-link current minimization strategy is realized by a predictive control method based on the converter model. The dynamic dc-link current reference is calculated each switching cycle by adding up the input and output phase current references with form factors. Therefore, it is adaptive to different loading conditions. Moreover, the control does not require high computational burden and is suitable for implementation in regular DSP for online calculation. In this paper, the improved soft-switching solid-state transformer (S4T) with reduced conduction loss is studied as an example of the current-source SST. The dc-link current minimization control method is verified in simulations and experiments at 2 kV under both steady-state and dynamic conditions. With the proposed control, dc-link current can be minimized to achieve approximately 18% loss reduction of the SST at the operating point under study.

AB - This paper presents a fast predictive control method to minimize the dc-link current in current-source solid-state transformers (SST). The motivation for dc-link current reduction is to improve efficiency of the SST and reduce conduction loss and transformer winding loss, which are among the major loss mechanisms of the current source solid-state transformers. The proposed cycle-by-cycle dc-link current minimization strategy is realized by a predictive control method based on the converter model. The dynamic dc-link current reference is calculated each switching cycle by adding up the input and output phase current references with form factors. Therefore, it is adaptive to different loading conditions. Moreover, the control does not require high computational burden and is suitable for implementation in regular DSP for online calculation. In this paper, the improved soft-switching solid-state transformer (S4T) with reduced conduction loss is studied as an example of the current-source SST. The dc-link current minimization control method is verified in simulations and experiments at 2 kV under both steady-state and dynamic conditions. With the proposed control, dc-link current can be minimized to achieve approximately 18% loss reduction of the SST at the operating point under study.

KW - current-source converter (CSC)

KW - dc-link current reduction

KW - digital control

KW - efficiency improvement

KW - minimum dc-link current

KW - model predictive control (MPC)

KW - model predictive priority-shifting control (MPPS)

KW - power electronic transformer (PET)

UR - https://www.scopus.com/pages/publications/85097203797

U2 - 10.1109/ECCE44975.2020.9236317

DO - 10.1109/ECCE44975.2020.9236317

M3 - Conference contribution

AN - SCOPUS:85097203797

T3 - ECCE 2020 - IEEE Energy Conversion Congress and Exposition

SP - 1636

EP - 1641

BT - ECCE 2020 - IEEE Energy Conversion Congress and Exposition

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

Y2 - 11 October 2020 through 15 October 2020

ER -

Zheng L, Han X, Prasad Kandula R, Divan D. Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1636-1641. 9236317. (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE44975.2020.9236317

Dynamic DC-Link Current Minimization Control to Improve Current-Source Solid-State Transformer Efficiency

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