Estimating the weight of main material for 63/20kV transformers with Artificial Neural Network (ANN)

Firouzfar, Mohammad; Salah, Peyman; Madahi, Seyed Siavash Karimi

doi:10.1109/peoco.2010.5559160

Cited by 2 publications

(2 citation statements)

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“…Application of GA in optimization design of transformer is used in Zhao et al Also, the application of chaos GA to transformer optimal design (TOD) is used in Zhang et al Firouzfar et al described estimating the weight of main material for 63/20 kV transformers with artificial neural network. In 2011, Yadav et al cost analysis of transformer's main material weight with artificial neural network .…”

Section: Introductionmentioning

confidence: 99%

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Implementation of tree pruning method for power transformer design optimization

Soldoozy

Esmaeli

Akbari

et al. 2018

Int Trans Electr Energ Syst

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Summary Different optimization algorithms and methods have been proposed in recent decades, most of which are somehow inspired from nature and natural events, especially those that can simply be analyzed and formulated. This work aims to propose a new optimization method inspired from growth and fecundity process of plants, which enable it to prune some branches of the plant or tree, that is, bad parts of the search space which do not meet the problem constrains and rapidly search the whole search space. By analogy, we can prune the search space of an optimization problem, cutting and ignoring its bad parts, the parts that certainly do not meet the problem constrains, so that the search speed and quality can be improved considerably. By improving the search quality, we mean to completely get rid of being trapped in local minimum. There are subtle similarities between pruning a tree to improve its fertility and pruning a search space of an optimization problem to improve the prosperity of optimization algorithm. JMAG‐Designer software is used for the finite element analysis.

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Section: Introductionmentioning

confidence: 99%

“…Nearly all previous works used optimization methods with random nature, meaning that they produce different solutions for each separate run. This obviously means that they have problem finding the optimal minimum These works only consider a limited number of design variables.…”

Section: Introductionmentioning

confidence: 99%