A Model Predictive Control for Gird-Forming Voltage Source Converter

Xinzhe Song; Shaoze Zhou; Wei Wang; Wei Chen; Zheng Wei; Dongmei Yang

doi:10.1007/978-981-99-9251-5_18

A Model Predictive Control for Gird-Forming Voltage Source Converter

Xinzhe Song
, Shaoze Zhou
, Wei Wang
, Wei Chen
, Zheng Wei
, Dongmei Yang

NARI Technology Co., Ltd.
Nanjing Normal University

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

Abstract

In response to the issue of insufficient frequency and voltage regulation capability in high-penetration renewable energy system, a control strategy combining grid-forming voltage source converter (GFM-VSC) with model predictive control (MPC) is proposed. Based on the main circuit topology of the converter, a power prediction model is established. Then a cost function concerning both inductor current and power output is constructed and a control strategy based on the which is introduced. A fast dynamic response to frequency and voltage variations has been achieved. Simulations have confirmed the effectiveness of the proposed control strategy.

Original language	English
Title of host publication	Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023)
Editors	Yusheng Xue, Yuping Zheng, Antonio Gómez-Expósito
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	222-232
Number of pages	11
ISBN (Print)	9789819992508
DOIs	https://doi.org/10.1007/978-981-99-9251-5_18
State	Published - 2024
Externally published	Yes
Event	8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023 - Nanjing, China Duration: 11 Aug 2023 → 13 Aug 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1129
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023
Country/Territory	China
City	Nanjing
Period	11/08/23 → 13/08/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Grid forming
Model predictive control
Voltage source converter

Access to Document

10.1007/978-981-99-9251-5_18

Cite this

Song, X., Zhou, S., Wang, W., Chen, W., Wei, Z., & Yang, D. (2024). A Model Predictive Control for Gird-Forming Voltage Source Converter. In Y. Xue, Y. Zheng, & A. Gómez-Expósito (Eds.), Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023) (pp. 222-232). (Lecture Notes in Electrical Engineering; Vol. 1129). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-9251-5_18

Song, Xinzhe ; Zhou, Shaoze ; Wang, Wei et al. / A Model Predictive Control for Gird-Forming Voltage Source Converter. Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023). editor / Yusheng Xue ; Yuping Zheng ; Antonio Gómez-Expósito. Springer Science and Business Media Deutschland GmbH, 2024. pp. 222-232 (Lecture Notes in Electrical Engineering).

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title = "A Model Predictive Control for Gird-Forming Voltage Source Converter",

abstract = "In response to the issue of insufficient frequency and voltage regulation capability in high-penetration renewable energy system, a control strategy combining grid-forming voltage source converter (GFM-VSC) with model predictive control (MPC) is proposed. Based on the main circuit topology of the converter, a power prediction model is established. Then a cost function concerning both inductor current and power output is constructed and a control strategy based on the which is introduced. A fast dynamic response to frequency and voltage variations has been achieved. Simulations have confirmed the effectiveness of the proposed control strategy.",

keywords = "Grid forming, Model predictive control, Voltage source converter",

author = "Xinzhe Song and Shaoze Zhou and Wei Wang and Wei Chen and Zheng Wei and Dongmei Yang",

note = "Publisher Copyright: {\textcopyright} 2024, State Grid Electric Power.; 8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023 ; Conference date: 11-08-2023 Through 13-08-2023",

year = "2024",

doi = "10.1007/978-981-99-9251-5\_18",

language = "英语",

isbn = "9789819992508",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "222--232",

editor = "Yusheng Xue and Yuping Zheng and Antonio G{\'o}mez-Exp{\'o}sito",

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Song, X, Zhou, S, Wang, W, Chen, W, Wei, Z & Yang, D 2024, A Model Predictive Control for Gird-Forming Voltage Source Converter. in Y Xue, Y Zheng & A Gómez-Expósito (eds), Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023). Lecture Notes in Electrical Engineering, vol. 1129, Springer Science and Business Media Deutschland GmbH, pp. 222-232, 8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023, Nanjing, China, 11/08/23. https://doi.org/10.1007/978-981-99-9251-5_18

A Model Predictive Control for Gird-Forming Voltage Source Converter. / Song, Xinzhe; Zhou, Shaoze; Wang, Wei et al.
Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023). ed. / Yusheng Xue; Yuping Zheng; Antonio Gómez-Expósito. Springer Science and Business Media Deutschland GmbH, 2024. p. 222-232 (Lecture Notes in Electrical Engineering; Vol. 1129).

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

TY - GEN

T1 - A Model Predictive Control for Gird-Forming Voltage Source Converter

AU - Song, Xinzhe

AU - Zhou, Shaoze

AU - Wang, Wei

AU - Chen, Wei

AU - Wei, Zheng

AU - Yang, Dongmei

PY - 2024

Y1 - 2024

N2 - In response to the issue of insufficient frequency and voltage regulation capability in high-penetration renewable energy system, a control strategy combining grid-forming voltage source converter (GFM-VSC) with model predictive control (MPC) is proposed. Based on the main circuit topology of the converter, a power prediction model is established. Then a cost function concerning both inductor current and power output is constructed and a control strategy based on the which is introduced. A fast dynamic response to frequency and voltage variations has been achieved. Simulations have confirmed the effectiveness of the proposed control strategy.

AB - In response to the issue of insufficient frequency and voltage regulation capability in high-penetration renewable energy system, a control strategy combining grid-forming voltage source converter (GFM-VSC) with model predictive control (MPC) is proposed. Based on the main circuit topology of the converter, a power prediction model is established. Then a cost function concerning both inductor current and power output is constructed and a control strategy based on the which is introduced. A fast dynamic response to frequency and voltage variations has been achieved. Simulations have confirmed the effectiveness of the proposed control strategy.

KW - Grid forming

KW - Model predictive control

KW - Voltage source converter

UR - https://www.scopus.com/pages/publications/85181977598

U2 - 10.1007/978-981-99-9251-5_18

DO - 10.1007/978-981-99-9251-5_18

M3 - 会议稿件

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SN - 9789819992508

T3 - Lecture Notes in Electrical Engineering

SP - 222

EP - 232

BT - Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023)

A2 - Xue, Yusheng

A2 - Zheng, Yuping

A2 - Gómez-Expósito, Antonio

PB - Springer Science and Business Media Deutschland GmbH

T2 - 8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023

Y2 - 11 August 2023 through 13 August 2023

ER -

Song X, Zhou S, Wang W, Chen W, Wei Z, Yang D. A Model Predictive Control for Gird-Forming Voltage Source Converter. In Xue Y, Zheng Y, Gómez-Expósito A, editors, Proceedings of the 8th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control (PMF2023). Springer Science and Business Media Deutschland GmbH. 2024. p. 222-232. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-9251-5_18

A Model Predictive Control for Gird-Forming Voltage Source Converter

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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