Optimal dispatch based on chance-constrained programming

Kaiwen Zeng; Mengqi Pan; Bo Li; Jianing Liu; Qi Wang; Yufeng Guo

doi:10.1109/APPEEC.2018.8566511

Optimal dispatch based on chance-constrained programming

Kaiwen Zeng
, Mengqi Pan
, Bo Li
, Jianing Liu
, Qi Wang
, Yufeng Guo^*

^*Corresponding author for this work

Dispatch Control Center
School of Electrical Engineering and Automation, Harbin Institute of Technology
The University of Hong Kong

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

1 Scopus citations

Abstract

Because of wind turbulent fluctuation, it is difficult to predict wind power fluctuation, which brings problems of randomness and uncertainty to power system stability. This study introduces a method to analyze wind power fluctuation characteristics. An optimal dispatch model-based on chance-constrained programming is established. The function formula of the wind power fluctuation is included in the power balance constraint. Finally, a genetic algorithm is proposed for the model solution, and the economic costs are calculated from this model. The algorithm is consistent with traditional ones and the models proposed in this study are shown to be reasonable and effective.

Original language	English
Title of host publication	IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018
Publisher	IEEE Computer Society
Pages	595-599
Number of pages	5
ISBN (Electronic)	9781538656860
DOIs	https://doi.org/10.1109/APPEEC.2018.8566511
State	Published - 6 Dec 2018
Externally published	Yes
Event	10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018 - Kota Kinabalu, Malaysia Duration: 7 Oct 2018 → 10 Oct 2018

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
Volume	2018-October
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018
Country/Territory	Malaysia
City	Kota Kinabalu
Period	7/10/18 → 10/10/18

Keywords

chance-constrained programming
optimal dispatch
power system
wind power fluctuation
wind turbulent fluctuation

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10.1109/APPEEC.2018.8566511

Cite this

Zeng, K., Pan, M., Li, B., Liu, J., Wang, Q., & Guo, Y. (2018). Optimal dispatch based on chance-constrained programming. In IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018 (pp. 595-599). Article 8566511 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/APPEEC.2018.8566511

@inproceedings{b0f33bed27bd40a689025a1d20c7a4fa,

title = "Optimal dispatch based on chance-constrained programming",

abstract = "Because of wind turbulent fluctuation, it is difficult to predict wind power fluctuation, which brings problems of randomness and uncertainty to power system stability. This study introduces a method to analyze wind power fluctuation characteristics. An optimal dispatch model-based on chance-constrained programming is established. The function formula of the wind power fluctuation is included in the power balance constraint. Finally, a genetic algorithm is proposed for the model solution, and the economic costs are calculated from this model. The algorithm is consistent with traditional ones and the models proposed in this study are shown to be reasonable and effective.",

keywords = "chance-constrained programming, optimal dispatch, power system, wind power fluctuation, wind turbulent fluctuation",

author = "Kaiwen Zeng and Mengqi Pan and Bo Li and Jianing Liu and Qi Wang and Yufeng Guo",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2018",

month = dec,

day = "6",

doi = "10.1109/APPEEC.2018.8566511",

language = "英语",

series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",

publisher = "IEEE Computer Society",

pages = "595--599",

booktitle = "IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018",

address = "美国",

}

Zeng, K, Pan, M, Li, B, Liu, J, Wang, Q & Guo, Y 2018, Optimal dispatch based on chance-constrained programming. in IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018., 8566511, Asia-Pacific Power and Energy Engineering Conference, APPEEC, vol. 2018-October, IEEE Computer Society, pp. 595-599, 10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018, Kota Kinabalu, Malaysia, 7/10/18. https://doi.org/10.1109/APPEEC.2018.8566511

Optimal dispatch based on chance-constrained programming. / Zeng, Kaiwen; Pan, Mengqi; Li, Bo et al.
IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018. IEEE Computer Society, 2018. p. 595-599 8566511 (Asia-Pacific Power and Energy Engineering Conference, APPEEC; Vol. 2018-October).

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

TY - GEN

T1 - Optimal dispatch based on chance-constrained programming

AU - Zeng, Kaiwen

AU - Pan, Mengqi

AU - Li, Bo

AU - Liu, Jianing

AU - Wang, Qi

AU - Guo, Yufeng

PY - 2018/12/6

Y1 - 2018/12/6

N2 - Because of wind turbulent fluctuation, it is difficult to predict wind power fluctuation, which brings problems of randomness and uncertainty to power system stability. This study introduces a method to analyze wind power fluctuation characteristics. An optimal dispatch model-based on chance-constrained programming is established. The function formula of the wind power fluctuation is included in the power balance constraint. Finally, a genetic algorithm is proposed for the model solution, and the economic costs are calculated from this model. The algorithm is consistent with traditional ones and the models proposed in this study are shown to be reasonable and effective.

AB - Because of wind turbulent fluctuation, it is difficult to predict wind power fluctuation, which brings problems of randomness and uncertainty to power system stability. This study introduces a method to analyze wind power fluctuation characteristics. An optimal dispatch model-based on chance-constrained programming is established. The function formula of the wind power fluctuation is included in the power balance constraint. Finally, a genetic algorithm is proposed for the model solution, and the economic costs are calculated from this model. The algorithm is consistent with traditional ones and the models proposed in this study are shown to be reasonable and effective.

KW - chance-constrained programming

KW - optimal dispatch

KW - power system

KW - wind power fluctuation

KW - wind turbulent fluctuation

UR - https://www.scopus.com/pages/publications/85060399202

U2 - 10.1109/APPEEC.2018.8566511

DO - 10.1109/APPEEC.2018.8566511

M3 - 会议稿件

AN - SCOPUS:85060399202

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

SP - 595

EP - 599

BT - IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018

PB - IEEE Computer Society

T2 - 10th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2018

Y2 - 7 October 2018 through 10 October 2018

ER -

Optimal dispatch based on chance-constrained programming

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