Optimal design and experimental validation long-lasting, low loss transformer for low power renewable energy system

References

• Aksu, İ. Ö., and T. Demirdelen. 2018. A comprehensive study on dry type transformer design with swarm-based metaheuristic optimization methods for industrial applications. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40 (14):1743–1752. doi: 10.1080/15567036.2018.1486908.
   Web of Science ®Google Scholar
• Amoiralis, E. I., M. A. Tsili, and P.S. Georgilakis. 2008. The state of the art in engineering methods for transformer design and optimization: A survey. Journal of Optoelectronics and Advanced Materials 10 (5):1149.
   Web of Science ®Google Scholar
• Aşkın, D., İ. İskender, and A. Mamızadeh. 2011. Farklı Yapay Sinir Ağları Yöntemlerini Kullanarak Kuru Tip Transformatör Sargısının Termal Analizi. Gazi Üniversitesi Mühendislik-Mimarlik Fakültesi Dergisi 26:4.
   Google Scholar
• Ayala, H. V. H., L Dos Santos Coelho, VC Mariani, MVF da Luz, JV Leite. 2015. Harmony search approach based on ricker map for multi-objective transformer design optimization. IEEE Transactions on Magnetics. 51 (3):1–4.
   Web of Science ®Google Scholar
• Çelebi, M. Genetik Algoritma ile Kuru bir Trafonun Maliyet Optimizasyonu. ELECO, Bursa, Turkey, December. 2008:26–30.
   Google Scholar
• Coelho, L. D. S., V. C. Mariani, F. A. Guerra, M. V. Da Luz, and J. V. Leite. 2014. Multiobjective optimization of transformer design using a chaotic evolutionary approach. IEEE Transactions on Magnetics 50 (2):669–72. doi:10.1109/TMAG.2013.2285704.
   Web of Science ®Google Scholar
• Dos Santos Coelho, L., M. VC, M. V. F. Da Luz, and L. JV. 2013. Novel gamma differential evolution approach for multiobjective transformer design optimization. IEEE Transactions on Magnetics 49 (5):2121–24. doi:10.1109/TMAG.2013.2243134.
   Web of Science ®Google Scholar
• Ebenezer, M., and P. C. Nair, editors. Determination of winding temperature of a distribution transformer using soft computing techniques. Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, 2010 Joint International Conference on; 2010: IEEE, New Delhi, India.
   Google Scholar
• Finocchio, M. A. F., J. J. Lopes, J. A. de França, J. C. Piai, and J. J. F. Mangili. 2017. Neural networks applied to the design of dry‐type transformers: An example to analyze the winding temperature and elevate the thermal quality. International Transactions on Electrical Energy Systems 27 (3):e2257. doi:10.1002/etep.2257.
   Web of Science ®Google Scholar
• Georgilakis, P. S. 2009. Spotlight on modern transformer design. Switzerland AG: Springer Science & Business Media.
   Google Scholar
• Gouda, O. E., G. M. Amer, and W. A. A. Salem. Jun 2012. Predicting transformer temperature rise and loss of life in the presence of harmonic load currents. Ain Shams Engineering Journal. 3(2):113–21. doi:10.1016/j.asej.2012.01.003.
   Google Scholar
• Huang P., Mao C., Wang D., Wang L., Duan Y., Qiu J., Xu, G., Cai, H. 2017. Optimal design and implementation of high-voltage high-power silicon steel core medium-frequency transformer. IEEE Transactions on Industrial Electronics. 64(6):4391–401. doi:10.1109/TIE.2017.2674591.
   Web of Science ®Google Scholar
• Hurley, W. G., WH Wolfle and JG. Breslin. 1998. Optimized transformer design: Inclusive of high-frequency effects. IEEE Transactions on Power Electronics 13 (4):651–59. doi:10.1109/63.704133.
   Web of Science ®Google Scholar
• Ishibuchi, H., T. Yoshida, and T. Murata. 2003. Balance between genetic search and local search in memetic algorithms for multiobjective permutation flowshop scheduling. IEEE Transactions on Evolutionary Computation 7 (2):204–23. doi:10.1109/TEVC.2003.810752.
   Web of Science ®Google Scholar
• Jabr, R. A. 2005. Application of geometric programming to transformer design. IEEE Transactions on Magnetics 41 (11):4261–69. doi:10.1109/TMAG.2005.856921.
   Web of Science ®Google Scholar
• Kömürgöz, G. Kendi Kendine Soğuyan Kuru Tip Güç Transformatörlerinde Sargı Isınma Hesabına Katkılar: İstanbul Teknik Üniversitesi; 2002.
   Google Scholar
• MEGEP. 2011. Bir Fazlı Transformatör Sarımı. Turkey: T.C. Milli Eğitim Bakanlığı.
   Google Scholar
• Michalewicz, Z. 1995. Genetic algorithms, numerical optimization, and constraints. In: Proceedings of the sixth international conference on genetic algorithms. Citeseer 195, pp. 151–158.  San Mateo, CA: Morgan Kaufman.
   Google Scholar
• Murillo, R., J. Smajic, J. Tepper, A. Nogués, and T. Steinmetz Electromagnetic simulations supporting the development of dry-type transformers for subtransmission voltage levels. CIGRE A2-208, Paris. 2012.
   Google Scholar
• Orosz, O. T. 2019. Evolution and modern approaches of the power transformer cost optimization methods. Periodica Polytechnica Electrical Engineering and Computer Science 63 (1):37–50. doi:10.3311/PPee.13000.
   Google Scholar
• Orosz, T., Á. Sleisz, and Z. Á. Tamus. 2016. Metaheuristic optimization preliminary design process of core-form autotransformers. IEEE Transactions on Magnetics 52 (4):1–10. doi:10.1109/TMAG.2015.2496905.
   Web of Science ®Google Scholar
• Patil, R., and B. Kushare, editors. Design and optimization of inter-coil insulation system of a cast resin transformer using FEM. Electrical, Electronics, and Optimization Techniques (ICEEOT), International Conference on; 2016: IEEE, Chennai, India.
   Google Scholar
• Smolka, J. Jan 2013. CFD-based 3-D optimization of the mutual coil configuration for the effective cooling of an electrical transformer. Applied Thermal Engineering. 50(1):124–33. doi:10.1016/j.applthermaleng.2012.06.012.
   Web of Science ®Google Scholar
• Tosun, S., A. Öztürk, H. Demir, and L. Kuru. 2012. Kuru tip transformatörün tabu arama algoritması yöntemi ile ağırlık optimizasyonu. Ileri Teknoloji Bilimleri Dergisi 1 (1):17–26.
   Google Scholar
• Yang, X.-S. 2009. Firefly algorithms for multimodal optimization. In: International symposium on stochastic algorithms. Springer. p. 169–178. Berlin, Heidelberg: Springer.
   Google Scholar