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METAHEURISTIC ALGORITHMS BASED APPROACHES FOR EFFICIENCY ANALYSIS OF THREE-PHASE DRY-TYPE TRANSFORMERS

Year 2021, Volume: 9 Issue: 4, 889 - 903, 04.12.2021
https://doi.org/10.36306/konjes.946496

Abstract

Transformers are considered as the significant contributors to the efficient transmission and distribution of electrical energy. The ability to change the voltage and current levels in inverse proportion help to reduce the conductor losses. However, today’s stringent requirements for more significant efficiency markings turn attention to the efficiency of individual components in a power system. Therefore, a great deal of effort is being placed to maximize the efficiency of the transformers without compromising their fundamental function. This is a complex problem and requires the use of advanced design tools. Metaheuristic methods developed in recent years are being used in electrical engineering, where they provide savings in design time and great success in finding the optimum solution. In this study, we have used the Particle Swarm Optimization (PSO), the Simulated Annealing (SA), and the Tree Seed Algorithm (TSA) methods, respectively. The objective is to develop a design methodology for three-phase dry-type transformers and to maximize their efficiency. The results of the three algorithms are compared to validate the optimum solution. For the demonstration of the process, a three-phase 100 kVA dry-type transformer is used. After the mathematical model of the transformer is created, the transformer parameters, current density (s), and transformer iron cross-section acceptability (C) are optimized. As a result, it has been observed that the efficiency of transformers can be increased beyond what is achieved with conventional techniques. The efficiency has been optimized and increased from 97.5% to 98.44%.

References

  • Aksu, İ. Ö. and Demirdelen, T., 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), pp. 1743–1752. doi: 10.1080/15567036.2018.1486908.
  • Alyozbaky, O. S., Ab Kadir, M. Z. A., Izadi, M., Gomes, C., Azis, N. B., & Isa, M. B. M. , 2019, “New Optimization Technique to Design the Core of Three-Phase Transformer”, 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering, ICECCPCE 2019, pp. 13–18. doi: 10.1109/ICECCPCE46549.2019.203740.
  • Azizian, D., Bigdeli, M. and Faiz, J., 2016, “Design Optimization of Cast-Resin Transformer Using Nature-Inspired Algorithms”, Arabian Journal for Science and Engineering, 41(9), pp. 3491–3500. doi: 10.1007/s13369-016-2066-x.
  • Basak, R., 2017, “Design of Single Phase Transformer Through Different Optimization Techniques”, International Journal of Information and Communication Sciences, 2(3), p. 30. doi: 10.11648/j.ijics.20170203.11.
  • Bendaoud, R., Amiry, H., Benhmida, M., Zohal, B., Yadir, S., Bounouar, S., ... & El Aydi, M., 2019, “New method for extracting physical parameters of PV generators combining an implemented genetic algorithm and the simulated annealing algorithm”, Solar Energy, 194, pp. 239–247. doi: 10.1016/j.solener.2019.10.040.
  • Celtek, S. A., Durdu, A. and Alı, M. E. M., 2020, “Real-time traffic signal control with swarm optimization methods”, Measurement: Journal of the International Measurement Confederation, 166. doi: 10.1016/j.measurement.2020.108206.
  • Cheema, M. A. M., Fletcher, J. E. and Dorrell, D., 2013, “A practical approach for the global optimization of electromagnetic design of 3-phase core-type distribution transformer allowing for capitalization of losses”, IEEE Transactions on Magnetics, 49(5), pp. 2117–2120. doi: 10.1109/TMAG.2013.2242049.
  • Çelebi, M., 2008, “Genetik Algoritma ile Kuru bir Trafonun Maliyet Optimizasyonu. “ ELECO, Bursa, Turkey, 26-30. Demirdelen, T., 2018, “A Heuristic Approach for Volume Calculation of Oil-Type Power Transformers : Firefly Algorithm”, 7(4), pp. 41–46.
  • Demirdelen, T., 2019, “Optimal design and experimental validation long-lasting, low loss transformer for low power renewable energy system”, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 41(20), pp. 2534–2548. doi: 10.1080/15567036.2019.1637973.
  • Eberhart, R. and Kennedy, J., 1995, “New optimizer using particle swarm theory”, in Proceedings of the International Symposium on Micro Machine and Human Science, pp. 39–43. doi: 10.1109/mhs.1995.494215.
  • Esenboga, B. and Demirdelen, T., 2020, “Efficiency and Cost Based Multi-optimization and Thermal/Electromagnetic Analyses of 3-Phase Dry-Type Transformer”, IETE Journal of Research. doi: 10.1080/03772063.2020.1732841.
  • Gaikwad, S., 2018, “Optimal Placement and Sizing of Distribution Transformers of Existing Network using Genetic Algorithm and Simulated Annealing”, Asian Journal for Convergence in Technology (Ajct)-Ugc Listed, 4(1). Available at: www.asianssr.org.
  • Holzschuh, B., Lahner, Z. and Cremers, D., 2020, “Simulated Annealing for 3D Shape Correspondence”, Proceedings - 2020 International Conference on 3D Vision, 3DV 2020, pp. 252–260. doi: 10.1109/3DV50981.2020.00035.
  • Kiran, M. S., 2015, “TSA: Tree-seed algorithm for continuous optimization”, Expert Systems with Applications, 42(19), pp. 6686–6698. doi: 10.1016/j.eswa.2015.04.055.
  • Kirkpatrick, S., Gelatt, C. D. and Vecchi, M. P. ,1983, “Optimization by simulated annealing”, Science, 220(4598), pp. 671–680. doi: 10.1126/science.220.4598.671.
  • Latchoumi, T. P., Balamurugan, K., Dinesh, K., & Ezhilarasi, T. P., 2019, “Particle Swarm Optimization approach for waterjet cavitation peening”, Measurement: Journal of the International Measurement Confederation, 141, pp. 184–189. doi: 10.1016/j.measurement.2019.04.040.
  • Orosz, T., Borbély, B. and Tamus, Z. Á., 2017, “Performance comparison of multi design method and meta-heuristic methods for optimal preliminary design of core-form power transformers”, Periodica polytechnica Electrical engineering and computer science, 61(1), pp. 69–76. doi: 10.3311/PPee.10207.
  • Orosz, T., Pánek, D. and Karban, P., 2020, “FEM based preliminary design optimization in case of large power transformers”, Applied Sciences (Switzerland), 10(4). doi: 10.3390/app10041361.
  • Patil, R. and Kushare, B. E., 2016, “Design and optimization of inter-coil insulation system of a Cast resin transformer using FEM”, in International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, pp. 2887–2890. doi: 10.1109/ICEEOT.2016.7755225.
  • Rodríguez, S., Sánchez, N., & Gómez, D., 2019, “Optimization of geometric parameters of power transformer using bee”s algorithm”, Annals of Electrical and Electronic Engineering, 2(7), pp. 7–10. doi: 10.21833/aeee.2019.07.002.
  • Smolka, J. and Nowak, A. J., 2011, “Shape optimization of coils and cooling ducts in dry-type transformers using computational fluid dynamics and genetic algorithm”, IEEE Transactions on Magnetics, 47(6 PART 2), pp. 1726–1731. doi: 10.1109/TMAG.2011.2109731.
  • Soldoozy, A., Esmaeli, A., Akbari, H., & Mazloom, S. Z., 2018, “Implementation of tree pruning method for power transformer design optimization”, International Transactions on Electrical Energy Systems, (May), pp. 1–19. doi: 10.1002/etep.2659.
  • Tosun, S., Öztürk A., Demir H., Kuru L., 2012, Kuru Tip Transformatörün Tabu Arama Algoritmasi Yöntemi İle Ağırlık Optimizasyonu, Journal of Advanced Technology Sciences.
  • Wang, T., Liu, J., Wang, Y., & Hui, L., 2020, “Optimization of Structural Parameters for a New-Type Magnetic Integration Structure CRT Considering Loss and Cost”, IEEE Access, 8, pp. 68525–68532. doi: 10.1109/ACCESS.2020.2984545.
  • Zhang, M., Wang, N. and Ding, X., 2013, “Improved artificial fish swarm algorithm for fault diagnosis of dry-type transformer”, in Proceedings - 2013 4th International Conference on Digital Manufacturing and Automation, ICDMA 2013, pp. 679–683. doi: 10.1109/ICDMA.2013.161.

Üç Fazlı Kuru Tip Transformatör Verimliliği İçin Meta Sezgisel Algoritma Tabanlı Yaklaşımlar

Year 2021, Volume: 9 Issue: 4, 889 - 903, 04.12.2021
https://doi.org/10.36306/konjes.946496

Abstract

kabul edilir. Gerilim ve akım seviyelerini ters orantılı olarak değiştirme yeteneği, iletken kayıplarının azaltılmasına yardımcı olur. Bununla birlikte, günümüzün daha önemli verimlilik işaretlerine yönelik katı gereksinimleri, bir güç sistemindeki bireysel bileşenlerin verimliliğine dikkat çekiyor. Bu nedenle, temel işlevlerinden ödün vermeden transformatörlerin verimliliğini en üst düzeye çıkarmak için büyük çaba sarf edilmektedir. Bu karmaşık bir sorundur ve gelişmiş tasarım araçlarının kullanılmasını gerektirir. Son yıllarda geliştirilen meta-sezgisel yöntemler, tasarım süresinde tasarruf ve optimum çözümü bulmada büyük başarı sağladıklarından elektrik mühendisliğinde kullanılmaktadır. Bu çalışmada sırasıyla Parçacık Sürü Optimizasyonu (PSO), Benzetimli Tavlama (SA) ve Ağaç Tohum Algoritması (TSA) yöntemlerini kullandık. Amaç, üç fazlı kuru tip transformatörler için bir tasarım metodolojisi geliştirmek ve verimliliklerini en üst düzeye çıkarmaktır. Üç algoritmanın sonuçları, optimum çözümü doğrulamak için karşılaştırılır. Prosessin gösterimi için üç fazlı 100 kVA kuru tip bir transformatör kullanılır. Transformatörün matematiksel modeli oluşturulduktan sonra transformatör parametreleri, akım yoğunluğu (s) ve transformatör demir kesiti kabul edilebilirliği (C) optimize edilmiştir. Sonuç olarak, transformatörlerin verimlerinin geleneksel tekniklerle elde edilenin üzerinde artırılabileceği gözlemlenmiştir. Verimlilik optimize edilmiş ve 0.975'ten 0.9844'e yükseltilmiştir.

References

  • Aksu, İ. Ö. and Demirdelen, T., 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), pp. 1743–1752. doi: 10.1080/15567036.2018.1486908.
  • Alyozbaky, O. S., Ab Kadir, M. Z. A., Izadi, M., Gomes, C., Azis, N. B., & Isa, M. B. M. , 2019, “New Optimization Technique to Design the Core of Three-Phase Transformer”, 2nd International Conference on Electrical, Communication, Computer, Power and Control Engineering, ICECCPCE 2019, pp. 13–18. doi: 10.1109/ICECCPCE46549.2019.203740.
  • Azizian, D., Bigdeli, M. and Faiz, J., 2016, “Design Optimization of Cast-Resin Transformer Using Nature-Inspired Algorithms”, Arabian Journal for Science and Engineering, 41(9), pp. 3491–3500. doi: 10.1007/s13369-016-2066-x.
  • Basak, R., 2017, “Design of Single Phase Transformer Through Different Optimization Techniques”, International Journal of Information and Communication Sciences, 2(3), p. 30. doi: 10.11648/j.ijics.20170203.11.
  • Bendaoud, R., Amiry, H., Benhmida, M., Zohal, B., Yadir, S., Bounouar, S., ... & El Aydi, M., 2019, “New method for extracting physical parameters of PV generators combining an implemented genetic algorithm and the simulated annealing algorithm”, Solar Energy, 194, pp. 239–247. doi: 10.1016/j.solener.2019.10.040.
  • Celtek, S. A., Durdu, A. and Alı, M. E. M., 2020, “Real-time traffic signal control with swarm optimization methods”, Measurement: Journal of the International Measurement Confederation, 166. doi: 10.1016/j.measurement.2020.108206.
  • Cheema, M. A. M., Fletcher, J. E. and Dorrell, D., 2013, “A practical approach for the global optimization of electromagnetic design of 3-phase core-type distribution transformer allowing for capitalization of losses”, IEEE Transactions on Magnetics, 49(5), pp. 2117–2120. doi: 10.1109/TMAG.2013.2242049.
  • Çelebi, M., 2008, “Genetik Algoritma ile Kuru bir Trafonun Maliyet Optimizasyonu. “ ELECO, Bursa, Turkey, 26-30. Demirdelen, T., 2018, “A Heuristic Approach for Volume Calculation of Oil-Type Power Transformers : Firefly Algorithm”, 7(4), pp. 41–46.
  • Demirdelen, T., 2019, “Optimal design and experimental validation long-lasting, low loss transformer for low power renewable energy system”, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 41(20), pp. 2534–2548. doi: 10.1080/15567036.2019.1637973.
  • Eberhart, R. and Kennedy, J., 1995, “New optimizer using particle swarm theory”, in Proceedings of the International Symposium on Micro Machine and Human Science, pp. 39–43. doi: 10.1109/mhs.1995.494215.
  • Esenboga, B. and Demirdelen, T., 2020, “Efficiency and Cost Based Multi-optimization and Thermal/Electromagnetic Analyses of 3-Phase Dry-Type Transformer”, IETE Journal of Research. doi: 10.1080/03772063.2020.1732841.
  • Gaikwad, S., 2018, “Optimal Placement and Sizing of Distribution Transformers of Existing Network using Genetic Algorithm and Simulated Annealing”, Asian Journal for Convergence in Technology (Ajct)-Ugc Listed, 4(1). Available at: www.asianssr.org.
  • Holzschuh, B., Lahner, Z. and Cremers, D., 2020, “Simulated Annealing for 3D Shape Correspondence”, Proceedings - 2020 International Conference on 3D Vision, 3DV 2020, pp. 252–260. doi: 10.1109/3DV50981.2020.00035.
  • Kiran, M. S., 2015, “TSA: Tree-seed algorithm for continuous optimization”, Expert Systems with Applications, 42(19), pp. 6686–6698. doi: 10.1016/j.eswa.2015.04.055.
  • Kirkpatrick, S., Gelatt, C. D. and Vecchi, M. P. ,1983, “Optimization by simulated annealing”, Science, 220(4598), pp. 671–680. doi: 10.1126/science.220.4598.671.
  • Latchoumi, T. P., Balamurugan, K., Dinesh, K., & Ezhilarasi, T. P., 2019, “Particle Swarm Optimization approach for waterjet cavitation peening”, Measurement: Journal of the International Measurement Confederation, 141, pp. 184–189. doi: 10.1016/j.measurement.2019.04.040.
  • Orosz, T., Borbély, B. and Tamus, Z. Á., 2017, “Performance comparison of multi design method and meta-heuristic methods for optimal preliminary design of core-form power transformers”, Periodica polytechnica Electrical engineering and computer science, 61(1), pp. 69–76. doi: 10.3311/PPee.10207.
  • Orosz, T., Pánek, D. and Karban, P., 2020, “FEM based preliminary design optimization in case of large power transformers”, Applied Sciences (Switzerland), 10(4). doi: 10.3390/app10041361.
  • Patil, R. and Kushare, B. E., 2016, “Design and optimization of inter-coil insulation system of a Cast resin transformer using FEM”, in International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, pp. 2887–2890. doi: 10.1109/ICEEOT.2016.7755225.
  • Rodríguez, S., Sánchez, N., & Gómez, D., 2019, “Optimization of geometric parameters of power transformer using bee”s algorithm”, Annals of Electrical and Electronic Engineering, 2(7), pp. 7–10. doi: 10.21833/aeee.2019.07.002.
  • Smolka, J. and Nowak, A. J., 2011, “Shape optimization of coils and cooling ducts in dry-type transformers using computational fluid dynamics and genetic algorithm”, IEEE Transactions on Magnetics, 47(6 PART 2), pp. 1726–1731. doi: 10.1109/TMAG.2011.2109731.
  • Soldoozy, A., Esmaeli, A., Akbari, H., & Mazloom, S. Z., 2018, “Implementation of tree pruning method for power transformer design optimization”, International Transactions on Electrical Energy Systems, (May), pp. 1–19. doi: 10.1002/etep.2659.
  • Tosun, S., Öztürk A., Demir H., Kuru L., 2012, Kuru Tip Transformatörün Tabu Arama Algoritmasi Yöntemi İle Ağırlık Optimizasyonu, Journal of Advanced Technology Sciences.
  • Wang, T., Liu, J., Wang, Y., & Hui, L., 2020, “Optimization of Structural Parameters for a New-Type Magnetic Integration Structure CRT Considering Loss and Cost”, IEEE Access, 8, pp. 68525–68532. doi: 10.1109/ACCESS.2020.2984545.
  • Zhang, M., Wang, N. and Ding, X., 2013, “Improved artificial fish swarm algorithm for fault diagnosis of dry-type transformer”, in Proceedings - 2013 4th International Conference on Digital Manufacturing and Automation, ICDMA 2013, pp. 679–683. doi: 10.1109/ICDMA.2013.161.
There are 25 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Seda Kül 0000-0001-8278-4723

Seyit Alperen Celtek 0000-0002-7097-2521

İres İskender 0000-0003-1968-1857

Publication Date December 4, 2021
Submission Date June 1, 2021
Acceptance Date September 7, 2021
Published in Issue Year 2021 Volume: 9 Issue: 4

Cite

IEEE S. Kül, S. A. Celtek, and İ. İskender, “METAHEURISTIC ALGORITHMS BASED APPROACHES FOR EFFICIENCY ANALYSIS OF THREE-PHASE DRY-TYPE TRANSFORMERS”, KONJES, vol. 9, no. 4, pp. 889–903, 2021, doi: 10.36306/konjes.946496.