Nonlinear adaptive approach of wind power systems with stochastic disturbances

Xiaodong LIU; Feng LIU; Yongduan SONG

doi:10.1109/ChiCC.2014.6896163

Nonlinear adaptive approach of wind power systems with stochastic disturbances

Xiaodong LIU^*
, Feng LIU^*
, Yongduan SONG

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control Conference, CCC 2014
Editors	Shengyuan XU, Qianchuan ZHAO
Publisher	IEEE
Pages	7048-7053
Number of pages	6
ISBN (Electronic)	9789881563842
DOIs	https://doi.org/10.1109/ChiCC.2014.6896163
Publication status	Published - Sept 2014
Externally published	Yes
Event	33rd Chinese Control Conference, CCC 2014 - Nanjing, China Duration: 28 Jul 2014 → 30 Jul 2014

Conference

Conference	33rd Chinese Control Conference, CCC 2014
Country/Territory	China
City	Nanjing
Period	28/07/14 → 30/07/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

adaptive identification
stability
stochastic differential equation (SDE)
variable-speed wind turbine (VSWT)
virtual parameter

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10.1109/ChiCC.2014.6896163

Cite this

@inproceedings{6facb02dec2f4ff5bec0211165f4e0c2,

title = "Nonlinear adaptive approach of wind power systems with stochastic disturbances",

abstract = "This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.",

keywords = "adaptive identification, stability, stochastic differential equation (SDE), variable-speed wind turbine (VSWT), virtual parameter",

author = "Xiaodong LIU and Feng LIU and Yongduan SONG",

year = "2014",

month = sep,

doi = "10.1109/ChiCC.2014.6896163",

language = "English",

pages = "7048--7053",

editor = "Shengyuan XU and Qianchuan ZHAO",

booktitle = "Proceedings of the 33rd Chinese Control Conference, CCC 2014",

publisher = "IEEE",

note = "33rd Chinese Control Conference, CCC 2014 ; Conference date: 28-07-2014 Through 30-07-2014",

}

Nonlinear adaptive approach of wind power systems with stochastic disturbances. / LIU, Xiaodong; LIU, Feng; SONG, Yongduan.
Proceedings of the 33rd Chinese Control Conference, CCC 2014. ed. / Shengyuan XU; Qianchuan ZHAO. IEEE, 2014. p. 7048-7053 6896163.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Nonlinear adaptive approach of wind power systems with stochastic disturbances

AU - LIU, Xiaodong

AU - LIU, Feng

AU - SONG, Yongduan

PY - 2014/9

Y1 - 2014/9

N2 - This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.

AB - This article, considering the mechanical characteristic of wind turbine (WT), presents a nonlinear adaptive control strategy which is developed based on a two-mass model. Meanwhile, the nonlinear controller, applying backstepping adaptive approach based on virtual parameters, contributes to eliminate the undesirable effects of parametric uncertainties and stochastic disturbance. Moreover, the controller makes the rotor speed track the optimum value exactly by regulating the generator torque. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulations.

KW - adaptive identification

KW - stability

KW - stochastic differential equation (SDE)

KW - variable-speed wind turbine (VSWT)

KW - virtual parameter

UR - https://www.scopus.com/pages/publications/84907930236

U2 - 10.1109/ChiCC.2014.6896163

DO - 10.1109/ChiCC.2014.6896163

M3 - Conference paper (refereed)

AN - SCOPUS:84907930236

SP - 7048

EP - 7053

BT - Proceedings of the 33rd Chinese Control Conference, CCC 2014

A2 - XU, Shengyuan

A2 - ZHAO, Qianchuan

PB - IEEE

T2 - 33rd Chinese Control Conference, CCC 2014

Y2 - 28 July 2014 through 30 July 2014

ER -

Nonlinear adaptive approach of wind power systems with stochastic disturbances

Abstract

Conference

UN SDGs

Keywords

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