Power transformer optimal design using an innovative heuristic algorithm combined with mixed-integer non-linear programming and FEM technique

Power transformer optimal design (PTOD) is a complex multi-objective optimisation problem. Due to large variables search space, most optimisation methods proposed in literature for PTOD are prone to find local minimum instead of the global one. To prevail over the aforementioned problem, this study...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 11; H. 13; S. 3359 - 3370
Hauptverfasser:	Yadollahi, Milad, Lesani, Hamid
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 07.09.2017
Schlagworte:	complex multiobjective optimisation problem design constraints FEM technique finite element analysis finite‐element method global optimum point innovative heuristic algorithm integer programming large variable search space local minimum manufacturing constraints MINLP mixed‐integer nonlinear programming nonlinear programming power transformer optimal design power transformers PTOD algorithm Research Article search problems sensitivity analysis TCC transformer constructing chromosome power transformers integer programming nonlinear programming sensitivity analysis MINLP global optimum point innovative heuristic algorithm finite-element method design constraints finite element analysis mixed-integer nonlinear programming power transformer optimal design local minimum TCC PTOD algorithm large variable search space manufacturing constraints transformer constructing chromosome FEM technique complex multiobjective optimisation problem search problems
ISSN:	1751-8687, 1751-8695
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Abstract	Power transformer optimal design (PTOD) is a complex multi-objective optimisation problem. Due to large variables search space, most optimisation methods proposed in literature for PTOD are prone to find local minimum instead of the global one. To prevail over the aforementioned problem, this study aims to propose a new heuristic algorithm combined with mixed-integer non-linear programming (MINLP), and also, some modifications to conventional PTOD procedure. Some promising features of the proposed method in comparison to the previously proposed methods are (i) it considers more design variables as a gene for transformer constructing chromosome (TCC), (ii) before building the main TCC, it divides the PTOD algorithm into some sub-algorithms and starts to construct some sub-chromosomes with lower number of genes as parts of the main TCC, which allows us to detect improper genes based on a sensitivity analysis and design constraints, (iii) not only it considers technical and consumer constrains, but it also take manufacturing constraints into account, (iv) MINLP is used to find global optimum point, and (v) the validity of obtained optimal solution is further assessed by presenting comprehensive finite-element method (FEM) and experimental result.
AbstractList	Power transformer optimal design (PTOD) is a complex multi‐objective optimisation problem. Due to large variables search space, most optimisation methods proposed in literature for PTOD are prone to find local minimum instead of the global one. To prevail over the aforementioned problem, this study aims to propose a new heuristic algorithm combined with mixed‐integer non‐linear programming (MINLP), and also, some modifications to conventional PTOD procedure. Some promising features of the proposed method in comparison to the previously proposed methods are (i) it considers more design variables as a gene for transformer constructing chromosome (TCC), (ii) before building the main TCC, it divides the PTOD algorithm into some sub‐algorithms and starts to construct some sub‐chromosomes with lower number of genes as parts of the main TCC, which allows us to detect improper genes based on a sensitivity analysis and design constraints, (iii) not only it considers technical and consumer constrains, but it also take manufacturing constraints into account, (iv) MINLP is used to find global optimum point, and (v) the validity of obtained optimal solution is further assessed by presenting comprehensive finite‐element method (FEM) and experimental result.
Author	Lesani, Hamid Yadollahi, Milad
Author_xml	– sequence: 1 givenname: Milad surname: Yadollahi fullname: Yadollahi, Milad email: m.yadollahi@ut.ac.ir organization: Department of Electrical and Computer Engineering, University of Tehran, P.O. Box 14395-515, Tehran, Iran – sequence: 2 givenname: Hamid surname: Lesani fullname: Lesani, Hamid organization: Department of Electrical and Computer Engineering, University of Tehran, P.O. Box 14395-515, Tehran, Iran
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Cites_doi	10.1109/TMAG.2005.856921 10.1109/TPWRD.2009.2028763 10.1109/TMAG.2010.2044644 10.1109/TMAG.2006.892258 10.1201/9780367800598 10.1049/iet-epa.2008.0238 10.1109/TMAG.2013.2243134 10.1016/j.jmatprotec.2006.03.036 10.1109/CCECE.2002.1015233 10.1016/j.jmatprotec.2006.03.034 10.1109/TMAG.2007.915119
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Copyright	The Institution of Engineering and Technology 2017 The Authors. IET Generation, Transmission & Distribution published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology
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Keywords	power transformers integer programming nonlinear programming sensitivity analysis MINLP global optimum point innovative heuristic algorithm finite-element method design constraints finite element analysis mixed-integer nonlinear programming power transformer optimal design local minimum TCC PTOD algorithm large variable search space manufacturing constraints transformer constructing chromosome FEM technique complex multiobjective optimisation problem search problems
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Snippet	Power transformer optimal design (PTOD) is a complex multi-objective optimisation problem. Due to large variables search space, most optimisation methods... Power transformer optimal design (PTOD) is a complex multi‐objective optimisation problem. Due to large variables search space, most optimisation methods...
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SubjectTerms	complex multiobjective optimisation problem design constraints FEM technique finite element analysis finite‐element method global optimum point innovative heuristic algorithm integer programming large variable search space local minimum manufacturing constraints MINLP mixed‐integer nonlinear programming nonlinear programming power transformer optimal design power transformers PTOD algorithm Research Article search problems sensitivity analysis TCC transformer constructing chromosome
Title	Power transformer optimal design using an innovative heuristic algorithm combined with mixed-integer non-linear programming and FEM technique
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