A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load

Tianhao Qie; Xinan Zhang; Wentao Jiang; Jian Ye; Herbert Ho Ching Iu; Tyrone Fernando

doi:10.1109/TIE.2024.3370957

A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load

Tianhao Qie
, Xinan Zhang
, Wentao Jiang
, Jian Ye
, Herbert Ho Ching Iu
, Tyrone Fernando

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

The interleaved dc/dc boost converter (IBC) has been widely used to interface the solar photovoltaic panels and fuel cells to dc microgrids. With the penetration of self-regulated power electronic loads, which tend to consume constant power, the stability of dc microgrids is severely challenged. To guarantee the large signal stability of IBC fed dc microgrids with constant power loads, this article proposes a novel data-driven linear quadratic regulator. It provides model-free online control optimization with very low computational burden. To verify the effectiveness of the proposed method, experiments are carried out using the low cost Texas Instrument C2000 series digital signal processor.

Original language	English
Pages (from-to)	14308-14317
Number of pages	10
Journal	IEEE Transactions on Industrial Electronics
Volume	71
Issue number	11
Early online date	18 Mar 2024
DOIs	https://doi.org/10.1109/TIE.2024.3370957
Publication status	Published - 2024

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/TIE.2024.3370957

Cite this

@article{a7b2c01b3c074af8a0f6e6f265f2e221,

title = "A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load",

abstract = "The interleaved dc/dc boost converter (IBC) has been widely used to interface the solar photovoltaic panels and fuel cells to dc microgrids. With the penetration of self-regulated power electronic loads, which tend to consume constant power, the stability of dc microgrids is severely challenged. To guarantee the large signal stability of IBC fed dc microgrids with constant power loads, this article proposes a novel data-driven linear quadratic regulator. It provides model-free online control optimization with very low computational burden. To verify the effectiveness of the proposed method, experiments are carried out using the low cost Texas Instrument C2000 series digital signal processor.",

keywords = "Australia, Constant power load, dc microgrids, interleaved boost converter, large signal stability, Load modeling, machine learning, Mathematical models, Microgrids, Stability criteria, Transient analysis, Voltage control",

author = "Tianhao Qie and Xinan Zhang and Wentao Jiang and Jian Ye and Iu, \{Herbert Ho Ching\} and Tyrone Fernando",

year = "2024",

doi = "10.1109/TIE.2024.3370957",

language = "English",

volume = "71",

pages = "14308--14317",

journal = "IEEE Transactions on Industrial Electronics",

issn = "0278-0046",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

number = "11",

}

TY - JOUR

T1 - A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load

AU - Qie, Tianhao

AU - Zhang, Xinan

AU - Jiang, Wentao

AU - Ye, Jian

AU - Iu, Herbert Ho Ching

AU - Fernando, Tyrone

PY - 2024

Y1 - 2024

N2 - The interleaved dc/dc boost converter (IBC) has been widely used to interface the solar photovoltaic panels and fuel cells to dc microgrids. With the penetration of self-regulated power electronic loads, which tend to consume constant power, the stability of dc microgrids is severely challenged. To guarantee the large signal stability of IBC fed dc microgrids with constant power loads, this article proposes a novel data-driven linear quadratic regulator. It provides model-free online control optimization with very low computational burden. To verify the effectiveness of the proposed method, experiments are carried out using the low cost Texas Instrument C2000 series digital signal processor.

AB - The interleaved dc/dc boost converter (IBC) has been widely used to interface the solar photovoltaic panels and fuel cells to dc microgrids. With the penetration of self-regulated power electronic loads, which tend to consume constant power, the stability of dc microgrids is severely challenged. To guarantee the large signal stability of IBC fed dc microgrids with constant power loads, this article proposes a novel data-driven linear quadratic regulator. It provides model-free online control optimization with very low computational burden. To verify the effectiveness of the proposed method, experiments are carried out using the low cost Texas Instrument C2000 series digital signal processor.

KW - Australia

KW - Constant power load

KW - dc microgrids

KW - interleaved boost converter

KW - large signal stability

KW - Load modeling

KW - machine learning

KW - Mathematical models

KW - Microgrids

KW - Stability criteria

KW - Transient analysis

KW - Voltage control

UR - https://www.scopus.com/pages/publications/85188507057

U2 - 10.1109/TIE.2024.3370957

DO - 10.1109/TIE.2024.3370957

M3 - Article

AN - SCOPUS:85188507057

SN - 0278-0046

VL - 71

SP - 14308

EP - 14317

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

IS - 11

ER -

A Novel Data-Driven Large Signal Stabilizer for Interleaved DC/DC Boost Converter With Constant Power Load

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Artificial intelligence (AI) based control and monitoring of renewable energy system in microgrids

Cite this