A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms

Xiaodan Gao; Ke Meng; Dongxiao Wang; Guo Chen; Fengji Luo; Zhao Yang Dong

doi:10.1109/SmartGridComm.2016.7778842

A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms

Xiaodan Gao
, Ke Meng
, Dongxiao Wang
, Guo Chen
, Fengji Luo
, Zhao Yang Dong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Power networks with renewable energy always encounter the imbalance between supply and demand. One case is that during the peak load, generation is normally low or zero and other generation plants adjust more to meet with requirement. The other is during peak generation period, the generated power will exceed the load and be injected to the grid, which will cause the voltage rise and extra power curtailment is essential. To solve the latter problem, this paper proposes a ratio consensus based distributed control scheme to dispatch the curtailment power within a wind farm. Detailed distributed control scheme with ratio consensus algorithms is theoretically illustrated. System was developed in MATLAB software. The result of case study on the proposed system demonstrated the effectiveness of the curtailment strategy. © 2016 IEEE.

Original language	English
Title of host publication	2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Publisher	IEEE
Pages	693-698
ISBN (Print)	9781509040759
DOIs	https://doi.org/10.1109/SmartGridComm.2016.7778842
Publication status	Published - 8 Dec 2016
Externally published	Yes
Event	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia Duration: 6 Nov 2016 → 9 Nov 2016

Publication series

Name	2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Conference

Conference	7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
Place	Australia
City	Sydney
Period	6/11/16 → 9/11/16

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

distributed control
ratio consensus algorithm
wind farm
wind power curtailment

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10.1109/SmartGridComm.2016.7778842

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Gao, X., Meng, K., Wang, D., Chen, G., Luo, F., & Dong, Z. Y. (2016). A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 (pp. 693-698). Article 7778842 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). IEEE. https://doi.org/10.1109/SmartGridComm.2016.7778842

@inproceedings{029cd08896074c98beb57038ab4f98f9,

title = "A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms",

abstract = "Power networks with renewable energy always encounter the imbalance between supply and demand. One case is that during the peak load, generation is normally low or zero and other generation plants adjust more to meet with requirement. The other is during peak generation period, the generated power will exceed the load and be injected to the grid, which will cause the voltage rise and extra power curtailment is essential. To solve the latter problem, this paper proposes a ratio consensus based distributed control scheme to dispatch the curtailment power within a wind farm. Detailed distributed control scheme with ratio consensus algorithms is theoretically illustrated. System was developed in MATLAB software. The result of case study on the proposed system demonstrated the effectiveness of the curtailment strategy. {\textcopyright} 2016 IEEE.",

keywords = "distributed control, ratio consensus algorithm, wind farm, wind power curtailment",

author = "Xiaodan Gao and Ke Meng and Dongxiao Wang and Guo Chen and Fengji Luo and Dong, \{Zhao Yang\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 ; Conference date: 06-11-2016 Through 09-11-2016",

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doi = "10.1109/SmartGridComm.2016.7778842",

language = "English",

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series = "2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016",

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}

Gao, X, Meng, K, Wang, D, Chen, G, Luo, F & Dong, ZY 2016, A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms. in 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016., 7778842, 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, IEEE, pp. 693-698, 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016, Sydney, Australia, 6/11/16. https://doi.org/10.1109/SmartGridComm.2016.7778842

A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms. / Gao, Xiaodan; Meng, Ke; Wang, Dongxiao et al.
2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. IEEE, 2016. p. 693-698 7778842 (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms

AU - Gao, Xiaodan

AU - Meng, Ke

AU - Wang, Dongxiao

AU - Chen, Guo

AU - Luo, Fengji

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2016/12/8

Y1 - 2016/12/8

N2 - Power networks with renewable energy always encounter the imbalance between supply and demand. One case is that during the peak load, generation is normally low or zero and other generation plants adjust more to meet with requirement. The other is during peak generation period, the generated power will exceed the load and be injected to the grid, which will cause the voltage rise and extra power curtailment is essential. To solve the latter problem, this paper proposes a ratio consensus based distributed control scheme to dispatch the curtailment power within a wind farm. Detailed distributed control scheme with ratio consensus algorithms is theoretically illustrated. System was developed in MATLAB software. The result of case study on the proposed system demonstrated the effectiveness of the curtailment strategy. © 2016 IEEE.

AB - Power networks with renewable energy always encounter the imbalance between supply and demand. One case is that during the peak load, generation is normally low or zero and other generation plants adjust more to meet with requirement. The other is during peak generation period, the generated power will exceed the load and be injected to the grid, which will cause the voltage rise and extra power curtailment is essential. To solve the latter problem, this paper proposes a ratio consensus based distributed control scheme to dispatch the curtailment power within a wind farm. Detailed distributed control scheme with ratio consensus algorithms is theoretically illustrated. System was developed in MATLAB software. The result of case study on the proposed system demonstrated the effectiveness of the curtailment strategy. © 2016 IEEE.

KW - distributed control

KW - ratio consensus algorithm

KW - wind farm

KW - wind power curtailment

UR - https://www.scopus.com/pages/publications/85010218125

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SN - 9781509040759

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BT - 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

PB - IEEE

T2 - 7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016

Y2 - 6 November 2016 through 9 November 2016

ER -

Gao X, Meng K, Wang D, Chen G, Luo F, Dong ZY. A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms. In 2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016. IEEE. 2016. p. 693-698. 7778842. (2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016). doi: 10.1109/SmartGridComm.2016.7778842

A distributed control for active power curtailment within a wind farm based on ratio consensus algorithms

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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