Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition

Y. X. Zhang; Z. Y. Dong; H. M. Yang

doi:10.1201/b18565-43

Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition

Y. X. Zhang
, Z. Y. Dong
, H. M. Yang

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

Abstract

The wind power output is affected primarily by external meteorological factors. Under extreme wind condition, individual wind turbine might automatically shutdown once the wind speed is near or exceeds the cut-out speed for self-protection. This results in the output power reduction of a wind farm, which raises the security concern due to the imbalance between generation and demand, particularly for power systems with high wind power penetration. In this paper, the Type I Extreme Value Theory is adopted to depict the extreme wind speed. A stochastic optimal dispatch model considering wind turbine unexpected shutdown events based on chance-constrained programming theory is established. An improved Genetic-algorithm is developed to solve the non-convex optimization problem. The results imply that the dispatch model will give full consideration of such emergency situation, and provide a more reasonable dispatch plan for power system disaster prevention and reduction. © 2015 Taylor & Francis Group, London.

Original language	English
Title of host publication	Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014
Publisher	CRC Press/Balkema
Pages	219-222
ISBN (Print)	9781138028074
DOIs	https://doi.org/10.1201/b18565-43
Publication status	Published - 2015
Externally published	Yes
Event	International Conference on Environmental Engineering and Computer Application, ICEECA 2014 - Kowloon, Hong Kong, China Duration: 25 Dec 2014 → 26 Dec 2014

Publication series

Name	Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014

Conference

Conference	International Conference on Environmental Engineering and Computer Application, ICEECA 2014
Place	Hong Kong, China
City	Kowloon
Period	25/12/14 → 26/12/14

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
SDG 11 Sustainable Cities and Communities

Access Output

10.1201/b18565-43

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Zhang, Y. X., Dong, Z. Y., & Yang, H. M. (2015). Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition. In Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014 (pp. 219-222). (Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014). CRC Press/Balkema. https://doi.org/10.1201/b18565-43

Zhang, Y. X. ; Dong, Z. Y. ; Yang, H. M. / Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition. Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014. CRC Press/Balkema, 2015. pp. 219-222 (Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014).

@inproceedings{e7a3421828834778b78a488a7bce00c1,

title = "Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition",

abstract = "The wind power output is affected primarily by external meteorological factors. Under extreme wind condition, individual wind turbine might automatically shutdown once the wind speed is near or exceeds the cut-out speed for self-protection. This results in the output power reduction of a wind farm, which raises the security concern due to the imbalance between generation and demand, particularly for power systems with high wind power penetration. In this paper, the Type I Extreme Value Theory is adopted to depict the extreme wind speed. A stochastic optimal dispatch model considering wind turbine unexpected shutdown events based on chance-constrained programming theory is established. An improved Genetic-algorithm is developed to solve the non-convex optimization problem. The results imply that the dispatch model will give full consideration of such emergency situation, and provide a more reasonable dispatch plan for power system disaster prevention and reduction. {\textcopyright} 2015 Taylor \& Francis Group, London.",

author = "Zhang, \{Y. X.\} and Dong, \{Z. Y.\} and Yang, \{H. M.\}",

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].; International Conference on Environmental Engineering and Computer Application, ICEECA 2014 ; Conference date: 25-12-2014 Through 26-12-2014",

year = "2015",

doi = "10.1201/b18565-43",

language = "English",

isbn = "9781138028074",

series = "Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014",

publisher = "CRC Press/Balkema",

pages = "219--222",

booktitle = "Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014",

}

Zhang, YX, Dong, ZY & Yang, HM 2015, Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition. in Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014. Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014, CRC Press/Balkema, pp. 219-222, International Conference on Environmental Engineering and Computer Application, ICEECA 2014, Kowloon, Hong Kong, China, 25/12/14. https://doi.org/10.1201/b18565-43

Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition. / Zhang, Y. X.; Dong, Z. Y.; Yang, H. M.
Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014. CRC Press/Balkema, 2015. p. 219-222 (Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014).

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

TY - GEN

T1 - Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition

AU - Zhang, Y. X.

AU - Dong, Z. Y.

AU - Yang, H. M.

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 - 2015

Y1 - 2015

N2 - The wind power output is affected primarily by external meteorological factors. Under extreme wind condition, individual wind turbine might automatically shutdown once the wind speed is near or exceeds the cut-out speed for self-protection. This results in the output power reduction of a wind farm, which raises the security concern due to the imbalance between generation and demand, particularly for power systems with high wind power penetration. In this paper, the Type I Extreme Value Theory is adopted to depict the extreme wind speed. A stochastic optimal dispatch model considering wind turbine unexpected shutdown events based on chance-constrained programming theory is established. An improved Genetic-algorithm is developed to solve the non-convex optimization problem. The results imply that the dispatch model will give full consideration of such emergency situation, and provide a more reasonable dispatch plan for power system disaster prevention and reduction. © 2015 Taylor & Francis Group, London.

AB - The wind power output is affected primarily by external meteorological factors. Under extreme wind condition, individual wind turbine might automatically shutdown once the wind speed is near or exceeds the cut-out speed for self-protection. This results in the output power reduction of a wind farm, which raises the security concern due to the imbalance between generation and demand, particularly for power systems with high wind power penetration. In this paper, the Type I Extreme Value Theory is adopted to depict the extreme wind speed. A stochastic optimal dispatch model considering wind turbine unexpected shutdown events based on chance-constrained programming theory is established. An improved Genetic-algorithm is developed to solve the non-convex optimization problem. The results imply that the dispatch model will give full consideration of such emergency situation, and provide a more reasonable dispatch plan for power system disaster prevention and reduction. © 2015 Taylor & Francis Group, London.

UR - https://www.scopus.com/pages/publications/85016729766

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85016729766&origin=recordpage

U2 - 10.1201/b18565-43

DO - 10.1201/b18565-43

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781138028074

T3 - Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014

SP - 219

EP - 222

BT - Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014

PB - CRC Press/Balkema

T2 - International Conference on Environmental Engineering and Computer Application, ICEECA 2014

Y2 - 25 December 2014 through 26 December 2014

ER -

Zhang YX, Dong ZY, Yang HM. Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition. In Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014. CRC Press/Balkema. 2015. p. 219-222. (Environmental Engineering and Computer Application - Proceedings of the International Conference on Environmental Engineering and Computer Application, ICEECA 2014). doi: 10.1201/b18565-43

Stochastic optimal dispatch model considering wind turbine shut down events under extreme wind condition

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this