An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem

Ji, Bin, Zhang, Binqiao, Yu, Samson Shenglong, Zhang, Dezhi and Yuan, Xiaohui 2021, An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem, Energy, vol. 218, pp. 1-20, doi: 10.1016/j.energy.2020.119512.

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Title An enhanced Borg algorithmic framework for solving the hydro-thermal-wind Co-scheduling problem
Author(s) Ji, Bin
Zhang, Binqiao
Yu, Samson ShenglongORCID iD for Yu, Samson Shenglong orcid.org/0000-0002-2983-7344
Zhang, Dezhi
Yuan, Xiaohui
Journal name Energy
Volume number 218
Article ID 119512
Start page 1
End page 20
Total pages 20
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-03-01
ISSN 0360-5442
1873-6785
Keyword(s) Science & Technology
Physical Sciences
Technology
Thermodynamics
Energy & Fuels
Hydro-thermal-wind system
Multi-objective optimization
Enhanced Borg algorithm
Constraint-handling
Language eng
DOI 10.1016/j.energy.2020.119512
Indigenous content off
Field of Research 0913 Mechanical Engineering
0914 Resources Engineering and Extractive Metallurgy
0915 Interdisciplinary Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146228

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