Global Transformer Design Optimization Using Deterministic and Nondeterministic Algorithms

This paper compares the application of two deterministic and three nondeterministic optimization algorithms to global transformer design optimization (TDO). Two deterministic optimization algorithms (mixed-integer nonlinear programming and heuristic algorithm) are compared to three nondeterministic...

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Vydáno v:IEEE transactions on industry applications Ročník 50; číslo 1; s. 383 - 394
Hlavní autoři: Amoiralis, Eleftherios I., Tsili, Marina A., Paparigas, Dimitrios G., Kladas, Antonios G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithm design and analysis
Algorithms
artificial intelligence
Computer programs
design for manufacture
design methodology
Design optimization
Evolution
genetic algorithms (GAs)
heuristic algorithms (HAs)
Nonlinear programming
Optimization
optimization methods
Power transformer insulation
power transformers
Software
software packages
Transformers
Vectors
Windings
ISSN:0093-9994, 1939-9367
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Shrnutí:This paper compares the application of two deterministic and three nondeterministic optimization algorithms to global transformer design optimization (TDO). Two deterministic optimization algorithms (mixed-integer nonlinear programming and heuristic algorithm) are compared to three nondeterministic approaches (harmony search, differential evolution, and genetic algorithm). All these algorithms are integrated in design optimization software applied and verified in the manufacturing industry. The comparison yields significant conclusions on the efficiency of the algorithms and the selection of the most suitable one for the TDO problem.
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ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2013.2288417