Chance-Constrained OPF Based on Polynomials Approximation and Cornish–Fisher Expansion-Reference-Cited by-同舟云学术

Chance-Constrained OPF Based on Polynomials Approximation and Cornish–Fisher Expansion

Published:2020-01-25 Issue:4 Volume:44 Page:1357-1367
ISSN:2228-6179
Container-title:Iranian Journal of Science and Technology, Transactions of Electrical Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Electr Eng

Author:

Cai Yunfeng,Wang Liang,Zhou Jianhua,Zhou Yongzhi^ORCID

Funder

Postdoctoral Research Foundation of China

Technology Research Project of State Grid Jiangsu Electric Power Co., LTD.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s40998-020-00316-6.pdf

Reference24 articles.

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2. Dall’Anese E, Baker K, Summers T (2017) Chance-constrained AC optimal power flow for distribution systems with renewables. IEEE Trans Power Syst 32(5):3427–3438. https://doi.org/10.1109/TPWRS.2017.2656080

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4. Fang X, Hodge BM, Li F, Du E, Kang C (2019) Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty. J Mod Power Syst Clean Energy 7(3):658–664. https://doi.org/10.1007/s40565-019-0526-5

5. Gui-kun T, Shu-jun Y, Yan W (2011) Research on probabilistic power flow of the distribution system based on Cornish–Fisher. In: 2011 Asia-Pacific power and energy engineering conference (APPEEC), pp 1–5. https://doi.org/10.1109/APPEEC.2011.5748751