Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem-Reference-Cited by-同舟云学术

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Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem

Published:2023-03-21 Issue:17 Volume:53 Page:19922-19939
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Tong Wangyu,Liu Di,Hu Zhongbo,Su Qinghua

Funder

State Key Laboratory of Biogeology and Environmental Geology

National Nature Science Foundation of China

Hubei Provincial Department of Education Outstanding Youth Scientific Innovation Team Support Foundation

Education Bureau of Hunan Province of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-04527-2.pdf

Reference55 articles.

1. Wood AJ, Wollenberg BF, Sheblé GB (2013) Power generation operation and control. Wiley

2. Senjyu T, Shimabukuro K, Uezato K, Funabashi T (2003) A fast technique for unit commitment problem by extended priority list. IEEE Trans Power Syst 18(2):882–888

3. Ouyang Z, Shahidehpour S (1991) An intelligent dynamic programming for unit commitment application. IEEE Trans Power Syst 6(3):1203–1209

4. Cohen AI, Yoshimura M (1983) A branch-and-bound algorithm for unit commitment. IEEE Trans Power Appar Syst 2:444–451

5. Muckstadt JA, Wilson RC (1968) An application of mixed-integer programming duality to scheduling thermal generating systems. IEEE Trans Power Appar Syst PAS-87(12):1968–1978

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1. Transfer-Based Approximate Dynamic Programming for Rolling Security-Constrained Unit Commitment with Uncertainties;Protection and Control of Modern Power Systems;2024-09

2. A method for calculating two-phase equilibrium: Constrained gray prediction evolutionary algorithm with a surrogate model based on quadratic interpolation;Physics of Fluids;2024-07-01

3. A grey prediction evolutionary algorithm with a surrogate model based on quadratic interpolation;Expert Systems with Applications;2024-02

4. Unit commitment with AC optimal power flow constraint;Journal of Physics: Conference Series;2023-08-01

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