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. Attached Files Name Description MIMEType Size Downloads 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.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 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Engineering Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sun, 22 Nov 2020, 22:34:31 EST Mon, 23 Nov 2020, 04:00:48 EST Mon, 23 Nov 2020, 11:31:09 EST Tue, 24 Nov 2020, 05:08:25 EST Tue, 24 Nov 2020, 10:03:57 EST Tue, 24 Nov 2020, 10:07:41 EST Tue, 24 Nov 2020, 15:00:43 EST Sat, 02 Jan 2021, 01:30:09 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 22 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 23 Nov 2020, 11:31:09 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.