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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Vydané v:IET generation, transmission & distribution Ročník 11; číslo 13; s. 3359 - 3370
Hlavní autori: Yadollahi, Milad, Lesani, Hamid
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: The Institution of Engineering and Technology 07.09.2017
Predmet:
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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Popis
Shrnutí: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.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2017.0151