Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids

Jia Liu; Yushi Miura; Toshifumi Ise

doi:10.1109/ECCE.2017.8096763

Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids

Jia Liu
, Yushi Miura
, Toshifumi Ise

The University of Osaka

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

6 Scopus citations

Abstract

Power quality of ac bus voltage is a key issue for microgrids. A model-predictive-control (MPC)-based distributed bus voltage compensation methods using inverter-interfaced distributed generators (DGs) connected to the concerned bus is proposed. The presented method can compensate bus voltage unbalance and harmonics and share the compensated current between inverters autonomously, with neither communication nor upper-level controller. Moreover, direct bus voltage measurement is avoided in the proposed method considering field application feasibility. The proposed control scheme is verified by PSCAD/EMTDC simulation results.

Original language	English
Title of host publication	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4439-4446
Number of pages	8
ISBN (Electronic)	9781509029983
DOIs	https://doi.org/10.1109/ECCE.2017.8096763
State	Published - 3 Nov 2017
Externally published	Yes
Event	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States Duration: 1 Oct 2017 → 5 Oct 2017

Publication series

Name	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume	2017-January

Conference

Conference	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/Territory	United States
City	Cincinnati
Period	1/10/17 → 5/10/17

Keywords

Distributed generator
Microgrid
Model predictive control
Power system harmonics
three-phase unbalance

UN SDGs

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

Access to Document

10.1109/ECCE.2017.8096763

Cite this

Liu, J., Miura, Y., & Ise, T. (2017). Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017 (pp. 4439-4446). Article 8096763 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2017.8096763

Liu, Jia ; Miura, Yushi ; Ise, Toshifumi. / Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids. 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 4439-4446 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017).

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title = "Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids",

abstract = "Power quality of ac bus voltage is a key issue for microgrids. A model-predictive-control (MPC)-based distributed bus voltage compensation methods using inverter-interfaced distributed generators (DGs) connected to the concerned bus is proposed. The presented method can compensate bus voltage unbalance and harmonics and share the compensated current between inverters autonomously, with neither communication nor upper-level controller. Moreover, direct bus voltage measurement is avoided in the proposed method considering field application feasibility. The proposed control scheme is verified by PSCAD/EMTDC simulation results.",

keywords = "Distributed generator, Microgrid, Model predictive control, Power system harmonics, three-phase unbalance",

author = "Jia Liu and Yushi Miura and Toshifumi Ise",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 ; Conference date: 01-10-2017 Through 05-10-2017",

year = "2017",

month = nov,

day = "3",

doi = "10.1109/ECCE.2017.8096763",

language = "英语",

series = "2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017",

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

pages = "4439--4446",

booktitle = "2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017",

}

Liu, J, Miura, Y & Ise, T 2017, Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids. in 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017., 8096763, 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 4439-4446, 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017, Cincinnati, United States, 1/10/17. https://doi.org/10.1109/ECCE.2017.8096763

Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids. / Liu, Jia; Miura, Yushi; Ise, Toshifumi.
2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4439-4446 8096763 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January).

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

TY - GEN

T1 - Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids

AU - Liu, Jia

AU - Miura, Yushi

AU - Ise, Toshifumi

PY - 2017/11/3

Y1 - 2017/11/3

N2 - Power quality of ac bus voltage is a key issue for microgrids. A model-predictive-control (MPC)-based distributed bus voltage compensation methods using inverter-interfaced distributed generators (DGs) connected to the concerned bus is proposed. The presented method can compensate bus voltage unbalance and harmonics and share the compensated current between inverters autonomously, with neither communication nor upper-level controller. Moreover, direct bus voltage measurement is avoided in the proposed method considering field application feasibility. The proposed control scheme is verified by PSCAD/EMTDC simulation results.

AB - Power quality of ac bus voltage is a key issue for microgrids. A model-predictive-control (MPC)-based distributed bus voltage compensation methods using inverter-interfaced distributed generators (DGs) connected to the concerned bus is proposed. The presented method can compensate bus voltage unbalance and harmonics and share the compensated current between inverters autonomously, with neither communication nor upper-level controller. Moreover, direct bus voltage measurement is avoided in the proposed method considering field application feasibility. The proposed control scheme is verified by PSCAD/EMTDC simulation results.

KW - Distributed generator

KW - Microgrid

KW - Model predictive control

KW - Power system harmonics

KW - three-phase unbalance

UR - https://www.scopus.com/pages/publications/85041455674

U2 - 10.1109/ECCE.2017.8096763

DO - 10.1109/ECCE.2017.8096763

M3 - 会议稿件

AN - SCOPUS:85041455674

T3 - 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017

SP - 4439

EP - 4446

BT - 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017

Y2 - 1 October 2017 through 5 October 2017

ER -

Liu J, Miura Y, Ise T. Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 4439-4446. 8096763. (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017). doi: 10.1109/ECCE.2017.8096763

Model-Predictive-Control-Based distributed control scheme for bus voltage unbalance and harmonics compensation in microgrids

Abstract

Publication series

Conference

Keywords

UN SDGs

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