Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2019, Cilt: 8 Sayı: 4, 1363 - 1372, 24.12.2019
https://doi.org/10.17798/bitlisfen.531244

Öz

Kaynakça

  • International Energy Agency (IEA), Global EV Outlook 2017 Two Million and Counting, 2017, https://www.iae.org.publications/freepublications/publication/GlobalEVOutlook2017.pdf, (Erişim Tarihi: 10.01.2019)
  • https://www.nissanusa.com/electric-cars/leaf/charging-range/range/, (Erişim Tarihi: 15.02.2019)
  • Davis, S., Diegel, S., 2006, Transportation Energy Data Book, 25. Edition, p. 8-15. ORNL-6974. Center for Transportation Analysis, Oak Ridge National Laboratory, Oak Ridge, TN
  • Ceylan, O., Liu, G. & Tomsovic, K., 2018, Coordinated distribution network control of tap changer transformers, capacitors and PV inverters, Electr Eng, 100: 1133. https://doi.org/10.1007/s00202-017-0563-x
  • Ceylan, O., Liu, G ve Tomsovic, K., 2014, Distribution system voltage regulation by distributed energy resources. Proceedings, 2014 North American power symposium (NAPS), pp 1– 5, Pullman, WA, doi:10.1109/NAPS.2014.6965466
  • Merlin, A., Back, H, 1975, Search for a minimal-loss operating spanning tree reconfiguration in an urban power distribution systems. Proceedings of 5th Power System Computation Conference (PSCC), pp. 1-18, Cambridge, UK,.
  • Baran, M. E. ve Wu, F. F., 1989, Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Transactions on Power Delivery, vol. 4, no. 2, pp. 1401-1407, Apr, doi: 10.1109/61.25627
  • Shirmohammadi, D., ve Hong, W. H., 1989, Reconfiguration of electric distribution networks for resistive line loss reduction, IEEE Transactions on Power Delivery, vol. 4, No. 1, pp. 1492–1498.
  • Civanlar, S., Grainger, J. J., Yin, H., ve Lee, S. S. H., 1988, Distribution feeder reconfiguration for loss reduction, IEEE Transactions on Power Delivery, vol. 3, No. 3, pp. 1217–1223.
  • Nara, K., Shiose, A., Kiagawa, M., ve Ishihara, T., 1992, Implementation of genetic algorithm for distribution system loss minimum reconfiguration, IEEE Transactions on Power Systems, vol. 7, No. 3, pp. 1044–1051.
  • Gupta N, Swarnkar A ve Niazi K. R., 2011, Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization, Electric Power Components and Systems, 39:4, 317-330
  • Young-Jae Jeon and Jae-Chul Kim, 2000, Network reconfiguration in radial distribution system using simulated annealing and Tabu search, Proceedings 2000 IEEE Power Engineering Society Winter Meeting. pp. 2329-2333 vol.4 doi: 10.1109/PESW.2000.847169
  • Abdelaziz, A.Y., Mohamed, F.M., Mekhamer, S.F., ve Badr, M.A.L., 2010, Distribution system reconfiguration using a modified Tabu Search algorithm, Electric Power Systems Research, vol. 80, Issue 8, pp 943-953, https://doi.org/10.1016/j.epsr.2010.01.001
  • Swarnkar, A., Gupta, N. ve Niazi, K.R., 2011, Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization, Swarm and Evolutionary Computation, vol. 1, Issue 3, pp 129-137, https://doi.org/10.1016/j.swevo.2011.05.004.
  • Mohamed Imran, A. ve Kowsalya, M., 2014, A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using Fireworks Algorithm, International Journal of Electrical Power and Energy Systems, vol. 62, pp. 312-322, https://doi.org/10.1016/j.ijepes.2014.04.034.
  • Nguyen, T. T., Truong, A. V., 2015, Distribution network reconfiguration for power loss minimization and voltage profile improvement using cuckoo search algorithm, International Journal of Electrical Power and Energy Systems, vol. 68, pp. 233-242, https://doi.org/10.1016/j.ijepes.2014.12.075.
  • R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalinga Raju ve A. Srinivasa Rao, 2011, Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm, IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1080-1088, Aug. doi: 10.1109/TPWRS.2010.2076839
  • Rao SS. 2009. Engineering optimization: theory and practice, 4th edn. Wiley, New York
  • Geem ZW, Kim JH, Loganathan GV. 2001. A new heuristic optimization algorithm: harmony search. Simulation; 76: 60–68.
  • Lee KS, Geem ZW. 2005, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Method Appl M; 194: 3902–3933
  • Holland, J.H., 1975. Adaptation in Natural and Artificial Systems, Ann Arbor: University of Michigan Press
  • Goldberg, D.E, 1989. "Genetic Algorithms in Search, Optimisation and Machine Learning", Addision-Wesley, Reading
  • Kennedy J, Eberhart R. 1995. Particle swarm optimization. Proceedings of the IEEE international conference on neural networks, Perth, WA, vol 4, pp 1942–1948. doi:10.1109/ICNN.1995. 488968
  • Dorigo M., Maniezzo V. ve Colorni A., 1996. Ant System, optimization by a colony of cooperating agents, IEEE Trans. System Man. and Cybernetics, Part B: Cybernetics, Vol. 26, No. 1, p. 29-41
  • Zimmerman, R. D., Murillo-Sánchez, C. E. ve Thomas R. J. 2011. MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education, IEEE Trans. Power Syst., vol. 26, no. 1, pp. 12–19, Feb.

Armoni Araması Yöntemi ile Elektrik Dağıtım Sistemlerinin Yeniden Yapılandırılması: Elektrikli Araçların Etkisi

Yıl 2019, Cilt: 8 Sayı: 4, 1363 - 1372, 24.12.2019
https://doi.org/10.17798/bitlisfen.531244

Öz

Bilindiği
üzere son yirmi yılda elektrik güç sistemleri yoğun değişimler yaşamıştır.
Elektrik piyasalarının yapısı değişmiş, tüm dünyada elektrik dağıtım
sistemlerinde yenilenebilir enerji kaynaklarının ve elektrikli araçların (EA)
kullanımı gün geçtikçe artmıştır. Pek çok ekonomik ve çevresel getirisi bulunan
EA’ların menzillerinin sınırlı olması, neredeyse her gün şarj edilmelerini
gerektirmekte ve bu da elektrik güç sistemine ek yük getirmektedir. Bu
çalışmada elektrik dağıtım sistemlerinde çok sayıda EA olması durumunda
karşılaşılan gerilim problemleri ve kayıpları minimize etmek için yeniden
yapılandırma yaklaşımı incelenmektedir. Eniyileme probleminin çözümü için armoni
araması yöntemi (AAY) kullanılmaktadır. Ortaya konan yaklaşımla, sistemde
farklı sayıda EA ve dağıtık generatör olması durumları dikkate alınarak IEEE 33
bara test sisteminde çözülmekte ve ardından sonuçlara yer verilmektedir.

Kaynakça

  • International Energy Agency (IEA), Global EV Outlook 2017 Two Million and Counting, 2017, https://www.iae.org.publications/freepublications/publication/GlobalEVOutlook2017.pdf, (Erişim Tarihi: 10.01.2019)
  • https://www.nissanusa.com/electric-cars/leaf/charging-range/range/, (Erişim Tarihi: 15.02.2019)
  • Davis, S., Diegel, S., 2006, Transportation Energy Data Book, 25. Edition, p. 8-15. ORNL-6974. Center for Transportation Analysis, Oak Ridge National Laboratory, Oak Ridge, TN
  • Ceylan, O., Liu, G. & Tomsovic, K., 2018, Coordinated distribution network control of tap changer transformers, capacitors and PV inverters, Electr Eng, 100: 1133. https://doi.org/10.1007/s00202-017-0563-x
  • Ceylan, O., Liu, G ve Tomsovic, K., 2014, Distribution system voltage regulation by distributed energy resources. Proceedings, 2014 North American power symposium (NAPS), pp 1– 5, Pullman, WA, doi:10.1109/NAPS.2014.6965466
  • Merlin, A., Back, H, 1975, Search for a minimal-loss operating spanning tree reconfiguration in an urban power distribution systems. Proceedings of 5th Power System Computation Conference (PSCC), pp. 1-18, Cambridge, UK,.
  • Baran, M. E. ve Wu, F. F., 1989, Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Transactions on Power Delivery, vol. 4, no. 2, pp. 1401-1407, Apr, doi: 10.1109/61.25627
  • Shirmohammadi, D., ve Hong, W. H., 1989, Reconfiguration of electric distribution networks for resistive line loss reduction, IEEE Transactions on Power Delivery, vol. 4, No. 1, pp. 1492–1498.
  • Civanlar, S., Grainger, J. J., Yin, H., ve Lee, S. S. H., 1988, Distribution feeder reconfiguration for loss reduction, IEEE Transactions on Power Delivery, vol. 3, No. 3, pp. 1217–1223.
  • Nara, K., Shiose, A., Kiagawa, M., ve Ishihara, T., 1992, Implementation of genetic algorithm for distribution system loss minimum reconfiguration, IEEE Transactions on Power Systems, vol. 7, No. 3, pp. 1044–1051.
  • Gupta N, Swarnkar A ve Niazi K. R., 2011, Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization, Electric Power Components and Systems, 39:4, 317-330
  • Young-Jae Jeon and Jae-Chul Kim, 2000, Network reconfiguration in radial distribution system using simulated annealing and Tabu search, Proceedings 2000 IEEE Power Engineering Society Winter Meeting. pp. 2329-2333 vol.4 doi: 10.1109/PESW.2000.847169
  • Abdelaziz, A.Y., Mohamed, F.M., Mekhamer, S.F., ve Badr, M.A.L., 2010, Distribution system reconfiguration using a modified Tabu Search algorithm, Electric Power Systems Research, vol. 80, Issue 8, pp 943-953, https://doi.org/10.1016/j.epsr.2010.01.001
  • Swarnkar, A., Gupta, N. ve Niazi, K.R., 2011, Adapted ant colony optimization for efficient reconfiguration of balanced and unbalanced distribution systems for loss minimization, Swarm and Evolutionary Computation, vol. 1, Issue 3, pp 129-137, https://doi.org/10.1016/j.swevo.2011.05.004.
  • Mohamed Imran, A. ve Kowsalya, M., 2014, A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using Fireworks Algorithm, International Journal of Electrical Power and Energy Systems, vol. 62, pp. 312-322, https://doi.org/10.1016/j.ijepes.2014.04.034.
  • Nguyen, T. T., Truong, A. V., 2015, Distribution network reconfiguration for power loss minimization and voltage profile improvement using cuckoo search algorithm, International Journal of Electrical Power and Energy Systems, vol. 68, pp. 233-242, https://doi.org/10.1016/j.ijepes.2014.12.075.
  • R. Srinivasa Rao, S. V. L. Narasimham, M. Ramalinga Raju ve A. Srinivasa Rao, 2011, Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm, IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1080-1088, Aug. doi: 10.1109/TPWRS.2010.2076839
  • Rao SS. 2009. Engineering optimization: theory and practice, 4th edn. Wiley, New York
  • Geem ZW, Kim JH, Loganathan GV. 2001. A new heuristic optimization algorithm: harmony search. Simulation; 76: 60–68.
  • Lee KS, Geem ZW. 2005, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput Method Appl M; 194: 3902–3933
  • Holland, J.H., 1975. Adaptation in Natural and Artificial Systems, Ann Arbor: University of Michigan Press
  • Goldberg, D.E, 1989. "Genetic Algorithms in Search, Optimisation and Machine Learning", Addision-Wesley, Reading
  • Kennedy J, Eberhart R. 1995. Particle swarm optimization. Proceedings of the IEEE international conference on neural networks, Perth, WA, vol 4, pp 1942–1948. doi:10.1109/ICNN.1995. 488968
  • Dorigo M., Maniezzo V. ve Colorni A., 1996. Ant System, optimization by a colony of cooperating agents, IEEE Trans. System Man. and Cybernetics, Part B: Cybernetics, Vol. 26, No. 1, p. 29-41
  • Zimmerman, R. D., Murillo-Sánchez, C. E. ve Thomas R. J. 2011. MATPOWER: Steady-state operations, planning, and analysis tools for power systems research and education, IEEE Trans. Power Syst., vol. 26, no. 1, pp. 12–19, Feb.
Toplam 25 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makalesi
Yazarlar

Oguzhan Ceylan 0000-0002-0892-6380

Yayımlanma Tarihi 24 Aralık 2019
Gönderilme Tarihi 22 Şubat 2019
Kabul Tarihi 1 Temmuz 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 8 Sayı: 4

Kaynak Göster

IEEE O. Ceylan, “Armoni Araması Yöntemi ile Elektrik Dağıtım Sistemlerinin Yeniden Yapılandırılması: Elektrikli Araçların Etkisi”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, c. 8, sy. 4, ss. 1363–1372, 2019, doi: 10.17798/bitlisfen.531244.



Bitlis Eren Üniversitesi
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E-posta: fbe@beu.edu.tr