Journals / Turkish Journal of Engineering / 2020 / Cilt: 4 - Sayı: 1

OPTIMAL DESIGN OF POWER TRANSFORMER TANK USING ANT/FIREFLY HYBRID HEURISTIC ALGORITHM

Pages
17–22
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By this study, it has become possible to reduce the manufacturing costs of power transformers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Power transformers are one of the most important and expensive components of power transmission lines.
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Key Findings & Data:As a result of the optimization, the materials used in the transformer tank, which is designed as a result, are saved between 5% and 15%.
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Conclusion & Impact:By this study, it has become possible to reduce the manufacturing costs of power transformers.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Power Transformers · Transformers Tanks · Hybrid Heuristic Algorithm

Abstract

Power transformers are one of the most important and expensive components of power transmission lines. Reducing costs in the manufacture of power transformers has always been the subject of science. In this study, an ant/firefly hybrid heuristic algorithm has been developed to optimize the materials used in power transformer tanks and therefore to reduce tank costs. Based on this algorithm, an interface program has been created in Visual Studio Program. Using this power transformer tank design computer program, the materials used in the tanks have been optimized. As a result of the optimization, the materials used in the transformer tank, which is designed as a result, are saved between 5% and 15%. By this study, it has become possible to reduce the manufacturing costs of power transformers.

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Cite This Article

ZİLE, M. (2020). OPTIMAL DESIGN OF POWER TRANSFORMER TANK USING ANT/FIREFLY HYBRID HEURISTIC ALGORITHM. Turkish Journal of Engineering, Cilt: 4 - Sayı: 1, 17–22. https://ajindex.com/articles/370883

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References (10)

  1. Abi-Samra, N., Artega, J., Daravny, B. and Foata, M., “Tank Rupture and Mitigation-A Summary of Current State of Practice and Knowledge”, IEEE Transactions on Power Delivery, pp. 1959-1967, 2009.
  2. Dorigo, M., Stutzle, T., “Ant Colony Optimization’’, The MIT Press, pp 33-41, 2004.
  3. Kothmann R.E., Thompson D.G., “Power transformer tank rupture risk assessment and mitigation” EPRI Rep. TR-104994, 1995.
  4. Laptik, R., “Ant System with Distributed Values of Pheromone Evaporation”, Elektronika Ir Elektrotechnika, Vol. 18, No.8, pp. 69-72, 2012.
  5. Laptik, R., “Ant System with Distributed Values of Pheromone Evaporation”, Elektronika Ir Elektrotechnika, Vol. 18, No.8, pp. 69-72, 2012.
  6. Laptik R., Navakauskas D., “Application of Ant Colony Optimization for Image Segmentation’’, Elektronika Ir Elektrotechnika, Vol. 80, No.8, pp. 13-18, 2017.
  7. Moser H.P., Dahinden V., Transformerboard I, Rapperswil, 1986.
  8. Moser H.P., Dahinden V., Transformerboard II, Rapperswil, 1987.
  9. Yang, X.S., ‘‘Firefly Algorithms for Multimodal Optimization’’, Stochastic Algorithms: Foundations and Applications, SAGA 2009, Lecture Notes in Computer Science, 5792. Berlin: Springer Verlag, pp. 169–178, 2009.
  10. Yang, X. S., ‘‘Multiobjective Firefly Algorithm For Continuous Optimization’’, Engineering with Computers, Online Fist, DOI: 10.1007/s00366-012-0254-1., 2012.