A multi-objective constraint-handling based approach for short-term hydro-thermal-wind co-scheduling problem

Ji, Bin, Yu, Samson S. and Su, Z 2020, A multi-objective constraint-handling based approach for short-term hydro-thermal-wind co-scheduling problem, in IECON 2020 : Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 1507-1512, doi: 10.1109/iecon43393.2020.9255007.

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Title A multi-objective constraint-handling based approach for short-term hydro-thermal-wind co-scheduling problem
Author(s) Ji, Bin
Yu, Samson S.ORCID iD for Yu, Samson S. orcid.org/0000-0002-2983-7344
Su, Z
Conference name IECON - IEEE Industrial Electronics Society. Annual Conference (46th : 2020 : Singapore (online))
Conference location Singapore (online)
Conference dates 19 - 21 Oct. 2020
Title of proceedings IECON 2020 : Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society
Publication date 2020
Start page 1507
End page 1512
Total pages 6
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Place of publication Piscataway, N.J.
Keyword(s) hydro-thermal-wind system
multi-objective constraint-handling
Borg algorithm
Summary In this paper, we attempt to solve the dual-objective short-term hydro-thermal-wind co-scheduling (HTWCS) problem by proposing a novel multi-objective constraint handling (MOCH) based search framework. The two objectives of this problem are minimizing the cost and emissions associated with electric power generation, while satisfying various hydraulic and electric constraints. The violations of constraints of the HTWCS problem is innovatively converted to another objective and forming a triple-objective HTWCS problem, which is further solved by a Borg algorithm, consisting of i) ϵ-dominance based archive updating process, ii) ϵ -progress based restart strategy and iii) auto-adaptive multi-operator recombination mechanism. The sophisticatedly designed MOCH based Borg evolution framework guarantees the convergence capability and diversity and can avoid the blindness in selecting the recombination operator and complex constraint repairing strategies, due to the lack of priori knowledge of the HTWCS problem. Comparison among different approaches demonstrates the approach proposed in this paper outperforms its conventional counterparts and the MOCH technique performs better than the conventional constraint repairing strategies when applied to solve the HTWCS problem.
ISBN 978-1-7281-5414-5
Language eng
DOI 10.1109/iecon43393.2020.9255007
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2020, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145576

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