Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control

Hongjun Chen; Rui Tang; Zhe Shi; Jiaming An

doi:10.1109/ICEMS.2019.8921760

Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control

Hongjun Chen
, Rui Tang
, Zhe Shi
, Jiaming An

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

1 Scopus citations

Abstract

As the proportion of wind power increases, the wind turbine will have a serious impact on the power quality of the grid after the grid connection. Due to the inherent characteristics of the wind speed, the output power of the wind farm has fluctuations and intermittence, which in turn causes random fluctuations in the grid voltage. Voltage fluctuations will affect the normal operation of electrical equipment, these issues are increasingly concerned and valued by wind power companies. Therefore, analyzing the impact of wind power integration on the grid and solving its reactive power compensation problem is of great significance for wind farms and power grids.

Original language	English
Title of host publication	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133980
DOIs	https://doi.org/10.1109/ICEMS.2019.8921760
State	Published - Aug 2019
Externally published	Yes
Event	22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019

Publication series

Name	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference	22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/Territory	China
City	Harbin
Period	11/08/19 → 14/08/19

Keywords

Model Predictive control
Parameter Estimator
Reactive Power Compensation
STATCOM

Access to Document

10.1109/ICEMS.2019.8921760

Cite this

Chen, H., Tang, R., Shi, Z., & An, J. (2019). Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 Article 8921760 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2019.8921760

@inproceedings{ff5316eb771d4810bd827fb95b58b358,

title = "Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control",

abstract = "As the proportion of wind power increases, the wind turbine will have a serious impact on the power quality of the grid after the grid connection. Due to the inherent characteristics of the wind speed, the output power of the wind farm has fluctuations and intermittence, which in turn causes random fluctuations in the grid voltage. Voltage fluctuations will affect the normal operation of electrical equipment, these issues are increasingly concerned and valued by wind power companies. Therefore, analyzing the impact of wind power integration on the grid and solving its reactive power compensation problem is of great significance for wind farms and power grids.",

keywords = "Model Predictive control, Parameter Estimator, Reactive Power Compensation, STATCOM",

author = "Hongjun Chen and Rui Tang and Zhe Shi and Jiaming An",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICEMS.2019.8921760",

language = "英语",

series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

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

booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

address = "美国",

}

Chen, H, Tang, R, Shi, Z & An, J 2019, Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control. in 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019., 8921760, 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Institute of Electrical and Electronics Engineers Inc., 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, 11/08/19. https://doi.org/10.1109/ICEMS.2019.8921760

Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control. / Chen, Hongjun; Tang, Rui; Shi, Zhe et al.
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8921760 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

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

TY - GEN

T1 - Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control

AU - Chen, Hongjun

AU - Tang, Rui

AU - Shi, Zhe

AU - An, Jiaming

PY - 2019/8

Y1 - 2019/8

N2 - As the proportion of wind power increases, the wind turbine will have a serious impact on the power quality of the grid after the grid connection. Due to the inherent characteristics of the wind speed, the output power of the wind farm has fluctuations and intermittence, which in turn causes random fluctuations in the grid voltage. Voltage fluctuations will affect the normal operation of electrical equipment, these issues are increasingly concerned and valued by wind power companies. Therefore, analyzing the impact of wind power integration on the grid and solving its reactive power compensation problem is of great significance for wind farms and power grids.

AB - As the proportion of wind power increases, the wind turbine will have a serious impact on the power quality of the grid after the grid connection. Due to the inherent characteristics of the wind speed, the output power of the wind farm has fluctuations and intermittence, which in turn causes random fluctuations in the grid voltage. Voltage fluctuations will affect the normal operation of electrical equipment, these issues are increasingly concerned and valued by wind power companies. Therefore, analyzing the impact of wind power integration on the grid and solving its reactive power compensation problem is of great significance for wind farms and power grids.

KW - Model Predictive control

KW - Parameter Estimator

KW - Reactive Power Compensation

KW - STATCOM

UR - https://www.scopus.com/pages/publications/85077118317

U2 - 10.1109/ICEMS.2019.8921760

DO - 10.1109/ICEMS.2019.8921760

M3 - 会议稿件

AN - SCOPUS:85077118317

T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Y2 - 11 August 2019 through 14 August 2019

ER -

Chen H, Tang R, Shi Z, An J. Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8921760. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). doi: 10.1109/ICEMS.2019.8921760

Wind Farm STATCOM Reactive Power Compensation Research Based on Model Predictive Control

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