Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters

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

doi:10.1109/PEDG48541.2020.9244416

Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters

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

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

Abstract

To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.

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	409-412
ISBN (Print)	9781728169897
DOIs	https://doi.org/10.1109/PEDG48541.2020.9244416
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

Model predictive control,
LC filter
Inverters
Microgrid
Weighting factor design

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10.1109/PEDG48541.2020.9244416

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@inproceedings{3b0d2cbc62e14d6381e8494f2acb4500,

title = "Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters",

abstract = "To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.",

keywords = "Model predictive control,, LC filter, Inverters, Microgrid, Weighting factor design",

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

year = "2020",

doi = "10.1109/PEDG48541.2020.9244416",

language = "English",

isbn = "9781728169897 ",

pages = "409--412",

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",

}

Zheng, C, Dragicevic, T, Leng, M, Rodriguez, J & Blaabjerg, F 2020, Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters. in Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, pp. 409-412, 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, Dubrovnik, Croatia, 28/09/2020. https://doi.org/10.1109/PEDG48541.2020.9244416

Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters. / Zheng, Changming; Dragicevic, Tomislav; Leng, Minrui et al.
Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, 2020. p. 409-412.

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

TY - GEN

T1 - Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters

AU - Zheng, Changming

AU - Dragicevic, Tomislav

AU - Leng, Minrui

AU - Rodriguez, Jose

AU - Blaabjerg, Frede

PY - 2020

Y1 - 2020

N2 - To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.

AB - To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.

KW - Model predictive control,

KW - LC filter

KW - Inverters

KW - Microgrid

KW - Weighting factor design

U2 - 10.1109/PEDG48541.2020.9244416

DO - 10.1109/PEDG48541.2020.9244416

M3 - Article in proceedings

SN - 9781728169897

SP - 409

EP - 412

BT - Proceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems

PB - IEEE

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

Y2 - 28 September 2020 through 1 October 2020

ER -

Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters

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Keywords

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