Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid

Minrui Leng; Changming Zheng; Tomislav Dragicevic; Guohua Zhou; Frede Blaabjerg; Jose Rodriguez

doi:10.1109/PEDG48541.2020.9244405

Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid

Minrui Leng, Changming Zheng, Tomislav Dragicevic, Guohua Zhou, Frede Blaabjerg, Jose Rodriguez

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

Abstract

The majority of end-users in DC microgrid (MG) are electronic loads which behave as constant power load (CPL) when tightly controlled and may cause system instability. This paper proposes a stabilization method for DC MG by using the modulated model predictive control. First, a new cost function is defined, which includes the stabilization term of DC link. Then, the optimal voltage vector is derived by minimizing the cost function. After that, the optimal voltage vector is synthesized by the space vector modulation (SVM), resulting in low harmonics. Finally, simulation results are presented to verify the proposed strategy. It indicates that the proposed method can stabilize the DC MG, without implementing any additional active or passive components.

Original language	English
Title of host publication	Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems
Publisher	IEEE
Publication date	2020
Pages	527-530
ISBN (Print)	9781728169897
DOIs	https://doi.org/10.1109/PEDG48541.2020.9244405
Publication status	Published - 2020
Event	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia Duration: 28 Sept 2020 → 1 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding

Conference

Conference	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
Location	Virtual event
Country/Territory	Croatia
City	Dubrovnik
Period	28/09/2020 → 01/10/2020
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding

Keywords

DC microgrid
Constant power load
Stabilization
Model predictive control

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10.1109/PEDG48541.2020.9244405

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title = "Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid",

abstract = "The majority of end-users in DC microgrid (MG) are electronic loads which behave as constant power load (CPL) when tightly controlled and may cause system instability. This paper proposes a stabilization method for DC MG by using the modulated model predictive control. First, a new cost function is defined, which includes the stabilization term of DC link. Then, the optimal voltage vector is derived by minimizing the cost function. After that, the optimal voltage vector is synthesized by the space vector modulation (SVM), resulting in low harmonics. Finally, simulation results are presented to verify the proposed strategy. It indicates that the proposed method can stabilize the DC MG, without implementing any additional active or passive components.",

keywords = "DC microgrid, Constant power load, Stabilization, Model predictive control",

author = "Minrui Leng and Changming Zheng and Tomislav Dragicevic and Guohua Zhou and Frede Blaabjerg and Jose Rodriguez",

year = "2020",

doi = "10.1109/PEDG48541.2020.9244405",

language = "English",

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pages = "527--530",

booktitle = "Proceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems",

publisher = "IEEE",

address = "United States",

note = "2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

url = "https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding",

}

Leng, M, Zheng, C, Dragicevic, T, Zhou, G, Blaabjerg, F & Rodriguez, J 2020, Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid. in Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, pp. 527-530, 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, Dubrovnik, Croatia, 28/09/2020. https://doi.org/10.1109/PEDG48541.2020.9244405

Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid. / Leng, Minrui; Zheng, Changming; Dragicevic, Tomislav et al.
Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, 2020. p. 527-530.

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

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T1 - Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid

AU - Leng, Minrui

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AU - Dragicevic, Tomislav

AU - Zhou, Guohua

AU - Blaabjerg, Frede

AU - Rodriguez, Jose

PY - 2020

Y1 - 2020

N2 - The majority of end-users in DC microgrid (MG) are electronic loads which behave as constant power load (CPL) when tightly controlled and may cause system instability. This paper proposes a stabilization method for DC MG by using the modulated model predictive control. First, a new cost function is defined, which includes the stabilization term of DC link. Then, the optimal voltage vector is derived by minimizing the cost function. After that, the optimal voltage vector is synthesized by the space vector modulation (SVM), resulting in low harmonics. Finally, simulation results are presented to verify the proposed strategy. It indicates that the proposed method can stabilize the DC MG, without implementing any additional active or passive components.

AB - The majority of end-users in DC microgrid (MG) are electronic loads which behave as constant power load (CPL) when tightly controlled and may cause system instability. This paper proposes a stabilization method for DC MG by using the modulated model predictive control. First, a new cost function is defined, which includes the stabilization term of DC link. Then, the optimal voltage vector is derived by minimizing the cost function. After that, the optimal voltage vector is synthesized by the space vector modulation (SVM), resulting in low harmonics. Finally, simulation results are presented to verify the proposed strategy. It indicates that the proposed method can stabilize the DC MG, without implementing any additional active or passive components.

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KW - Constant power load

KW - Stabilization

KW - Model predictive control

U2 - 10.1109/PEDG48541.2020.9244405

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T2 - 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems

Y2 - 28 September 2020 through 1 October 2020

ER -

Modulated Model Predictive Control for Dynamic Stabilization of DC Microgrid

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