A practical clustering method of DFIG wind farms based on dynamic current error

Tiankui Sun; Xiaoming Mou; Zhimin Li

doi:10.1109/PESGM.2015.7285641

A practical clustering method of DFIG wind farms based on dynamic current error

Tiankui Sun
, Xiaoming Mou
, Zhimin Li

School of Electrical Engineering and Automation

Harbin Institute of Technology

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

5 Scopus citations

Abstract

It is an important but challenging issue to represent a wind farm using an equivalent model. This paper tries to find a practical clustering method of a doubly-fed induction generator (DFIG) wind farm for power system simulation. In the paper, the equivalent wind speed for the equivalent model is calculated according to the relationship between power and wind speed. The operating status of DFIG are analyzed for clustering the turbines preliminary and the errors' absolute value integration of output current between the detailed model and the equivalent model during the dynamic process are calculated and analyzed for practical clustering. Simulation results show that the proposed method can perform the dynamic characters of detailed model under homogeneous distributed wind speed case, low wind speed case and high wind speed case effectively.

Original language	English
Title of host publication	2015 IEEE Power and Energy Society General Meeting, PESGM 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285641
State	Published - 30 Sep 2015
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2015-September
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	IEEE Power and Energy Society General Meeting, PESGM 2015
Country/Territory	United States
City	Denver
Period	26/07/15 → 30/07/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DFIG wind turbines
Wind farm
dynamic current errors
practical clustering

Access to Document

10.1109/PESGM.2015.7285641

Cite this

@inproceedings{039f15e801ca4ea2a2c3feaabceddf32,

title = "A practical clustering method of DFIG wind farms based on dynamic current error",

abstract = "It is an important but challenging issue to represent a wind farm using an equivalent model. This paper tries to find a practical clustering method of a doubly-fed induction generator (DFIG) wind farm for power system simulation. In the paper, the equivalent wind speed for the equivalent model is calculated according to the relationship between power and wind speed. The operating status of DFIG are analyzed for clustering the turbines preliminary and the errors' absolute value integration of output current between the detailed model and the equivalent model during the dynamic process are calculated and analyzed for practical clustering. Simulation results show that the proposed method can perform the dynamic characters of detailed model under homogeneous distributed wind speed case, low wind speed case and high wind speed case effectively.",

keywords = "DFIG wind turbines, Wind farm, dynamic current errors, practical clustering",

author = "Tiankui Sun and Xiaoming Mou and Zhimin Li",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",

year = "2015",

month = sep,

day = "30",

doi = "10.1109/PESGM.2015.7285641",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",

address = "美国",

}

Sun, T, Mou, X & Li, Z 2015, A practical clustering method of DFIG wind farms based on dynamic current error. in 2015 IEEE Power and Energy Society General Meeting, PESGM 2015., 7285641, IEEE Power and Energy Society General Meeting, vol. 2015-September, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7285641

A practical clustering method of DFIG wind farms based on dynamic current error. / Sun, Tiankui; Mou, Xiaoming; Li, Zhimin.
2015 IEEE Power and Energy Society General Meeting, PESGM 2015. IEEE Computer Society, 2015. 7285641 (IEEE Power and Energy Society General Meeting; Vol. 2015-September).

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

TY - GEN

T1 - A practical clustering method of DFIG wind farms based on dynamic current error

AU - Sun, Tiankui

AU - Mou, Xiaoming

AU - Li, Zhimin

PY - 2015/9/30

Y1 - 2015/9/30

N2 - It is an important but challenging issue to represent a wind farm using an equivalent model. This paper tries to find a practical clustering method of a doubly-fed induction generator (DFIG) wind farm for power system simulation. In the paper, the equivalent wind speed for the equivalent model is calculated according to the relationship between power and wind speed. The operating status of DFIG are analyzed for clustering the turbines preliminary and the errors' absolute value integration of output current between the detailed model and the equivalent model during the dynamic process are calculated and analyzed for practical clustering. Simulation results show that the proposed method can perform the dynamic characters of detailed model under homogeneous distributed wind speed case, low wind speed case and high wind speed case effectively.

AB - It is an important but challenging issue to represent a wind farm using an equivalent model. This paper tries to find a practical clustering method of a doubly-fed induction generator (DFIG) wind farm for power system simulation. In the paper, the equivalent wind speed for the equivalent model is calculated according to the relationship between power and wind speed. The operating status of DFIG are analyzed for clustering the turbines preliminary and the errors' absolute value integration of output current between the detailed model and the equivalent model during the dynamic process are calculated and analyzed for practical clustering. Simulation results show that the proposed method can perform the dynamic characters of detailed model under homogeneous distributed wind speed case, low wind speed case and high wind speed case effectively.

KW - DFIG wind turbines

KW - Wind farm

KW - dynamic current errors

KW - practical clustering

UR - https://www.scopus.com/pages/publications/84956852615

U2 - 10.1109/PESGM.2015.7285641

DO - 10.1109/PESGM.2015.7285641

M3 - 会议稿件

AN - SCOPUS:84956852615

T3 - IEEE Power and Energy Society General Meeting

BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015

PB - IEEE Computer Society

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

A practical clustering method of DFIG wind farms based on dynamic current error

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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