DESIGN OPTIMIZATION AND TESTING OF 200 AMPS BOOSTER TRANSFORMER BASED ON DIFFERENTIAL EVOLUTION ALGORITHM
Journal
International Journal on Information Technologies & Security
Date Issued
2020-04-01
Author(s)
Salkoski, Rasim
Abstract
Differential Evolution is a population based search algorithm,
which is an improved version of Genetic Algorithm. Simulations carried
out involved solving optimization problems using Penalty function
method. The optimization techniques based Differential Evolution used in
the design of the booster transformer result in saving of supply electric
energy for the railway power supply systems. Special interest is given to
the minimization of production and exploitation costs of the booster
transformer. The optimization algorithm based on Differential Evolution
is applied to the problem of minimizing the cost of the active parts of the
booster transformer. Verification of results is confirmed in an independent
accredited laboratory.
which is an improved version of Genetic Algorithm. Simulations carried
out involved solving optimization problems using Penalty function
method. The optimization techniques based Differential Evolution used in
the design of the booster transformer result in saving of supply electric
energy for the railway power supply systems. Special interest is given to
the minimization of production and exploitation costs of the booster
transformer. The optimization algorithm based on Differential Evolution
is applied to the problem of minimizing the cost of the active parts of the
booster transformer. Verification of results is confirmed in an independent
accredited laboratory.
Subjects
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