Model predictive control of parallel distributed generation inverters in smart microgrids

Kerui Li; Jiefeng Hu; Manxin Chen

doi:10.1109/IPEMC.2016.7512843

Model predictive control of parallel distributed generation inverters in smart microgrids

Kerui Li
, Jiefeng Hu
, Manxin Chen

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.

Original language	English
Title of host publication	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3414-3418
Number of pages	5
ISBN (Electronic)	9781509012107
DOIs	https://doi.org/10.1109/IPEMC.2016.7512843
Publication status	Published - 13 Jul 2016
Externally published	Yes
Event	8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China Duration: 22 May 2016 → 26 May 2016

Publication series

Name	2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Conference

Conference	8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016
Country/Territory	China
City	Hefei
Period	22/05/16 → 26/05/16

Keywords

alternate calculation
FS-MPC
state space model

ASJC Scopus subject areas

Energy Engineering and Power Technology
Control and Systems Engineering
Electrical and Electronic Engineering
Control and Optimization

UN SDGs

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

More information

10.1109/IPEMC.2016.7512843

Cite this

Li, K., Hu, J., & Chen, M. (2016). Model predictive control of parallel distributed generation inverters in smart microgrids. In 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 (pp. 3414-3418). Article 7512843 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPEMC.2016.7512843

Li, Kerui ; Hu, Jiefeng ; Chen, Manxin. / Model predictive control of parallel distributed generation inverters in smart microgrids. 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3414-3418 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016).

@inproceedings{2c7a68da93a64deb917be20b43ba2c99,

title = "Model predictive control of parallel distributed generation inverters in smart microgrids",

abstract = "In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.",

keywords = "alternate calculation, FS-MPC, state space model",

author = "Kerui Li and Jiefeng Hu and Manxin Chen",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 ; Conference date: 22-05-2016 Through 26-05-2016",

year = "2016",

month = jul,

day = "13",

doi = "10.1109/IPEMC.2016.7512843",

language = "English",

series = "2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016",

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

pages = "3414--3418",

booktitle = "2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016",

}

Li, K, Hu, J & Chen, M 2016, Model predictive control of parallel distributed generation inverters in smart microgrids. in 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016., 7512843, 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, Institute of Electrical and Electronics Engineers Inc., pp. 3414-3418, 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, Hefei, China, 22/05/16. https://doi.org/10.1109/IPEMC.2016.7512843

Model predictive control of parallel distributed generation inverters in smart microgrids. / Li, Kerui; Hu, Jiefeng; Chen, Manxin.
2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3414-3418 7512843 (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Model predictive control of parallel distributed generation inverters in smart microgrids

AU - Li, Kerui

AU - Hu, Jiefeng

AU - Chen, Manxin

PY - 2016/7/13

Y1 - 2016/7/13

N2 - In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.

AB - In this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.

KW - alternate calculation

KW - FS-MPC

KW - state space model

UR - https://www.scopus.com/pages/publications/84983283143

U2 - 10.1109/IPEMC.2016.7512843

DO - 10.1109/IPEMC.2016.7512843

M3 - Conference article published in proceeding or book

T3 - 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

SP - 3414

EP - 3418

BT - 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016

Y2 - 22 May 2016 through 26 May 2016

ER -

Li K, Hu J, Chen M. Model predictive control of parallel distributed generation inverters in smart microgrids. In 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3414-3418. 7512843. (2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016). doi: 10.1109/IPEMC.2016.7512843

Model predictive control of parallel distributed generation inverters in smart microgrids

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

Other files and links

Fingerprint

Cite this