بهینه‌سازی ابعاد ذخیره‌ساز انرژی ابررسانای دما بالا با هدف کاهش تلفات و فاکتور هزینه

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار،دانشگاه علم و فناوری مازندران، بهشهر، ایران

2 دانشیار،دانشگاه علم و فناوری مازندران، بهشهر، ایران

چکیده

ذخیره‌سازی انرژی چالش بزرگ جامعه امروزی به‌شمار رفته، و در بین راه حل‌های موجود ذخیره‌سازی انرژی مغناطیسی ابررسانا با وجود پیچیدگی فنی ابعاد آن‌ها، راه حلی مناسب به شمار می‌آیند. هدف اصلی این مقاله ارائه یک رویکرد مثبت در ارائه ابعاد بهینه ذخیره‌ساز انرژی ابررسانا با در نظر گرفتن فاکتور هزینه و کاهش تلفات می‌باشد. برای بهینه‌سازی ابعاد ذخیره‌ساز انرژی ابررسانا از الگوریتم بهینه‌سازی گرگ خاکستری بدلیل کارایی خاص این الگوریتم در یافتن مقدار بهینه و سرعت همگرایی استفاده شده است. بهینه‌سازی ابعاد ذخیره‌ساز انرژی ابررسانا در جهت کاهش تلفات با لحاظ نمودن مولفه‌های اقتصادی و فاکتور هزینه در این مقاله لحاظ شده است. نتایج حاصله نشان‌دهنده‌ی تاثیر همزمان هزینه و تلفات بر ابعاد بهینه ذخیره‌ساز انرژی ابررسانا می‌باشد. نتایج حاصل از شبیه‌سازی نشان داده است که با در نظر گرفتن عامل هزینه، تلفات و حجم بهینه ذخیره‌ساز ابررسانای دما بالای 100 کیلوژول ، بترتیب 9 درصد و 54 درصد کاهش داشته است.

کلیدواژه‌ها


عنوان مقاله [English]

Optimizing the high temperature superconducting energy storage dimensions with the aim of reducing losses and cost factor

نویسندگان [English]

  • Masume Khodsuz 1
  • Milad Niaz Azari 2
1 Assistant Professor, Mazandaran University of Science and Technology, Behshahr, Iran
2 Associate Professor, Mazandaran University of Science and Technology, Behshahr, Iran
چکیده [English]

Energy storage is one of the important issue in today’s society, and among the existing solutions, superconducting magnetic energy storage is a suitable solution despite the technical complexity of their dimensions. The main goal of this article is to provide a positive approach in providing optimal dimensions of superconducting magnetic energy storage, taking into account the cost factor and reducing power losses. To optimize SMES dimensions, the gray wolf optimization algorithm has been used due to the special efficiency of this algorithm in finding the optimal value and its convergence speed. Optimizing the dimensions of SMES in order to reduce power losses by considering the economic parameters and the cost factor is included in this paper. The obtained results show the simultaneous effect of cost and power losses on the optimum dimensions of the SMES. The simulation results demonstrate that considering the cost factor cause a 9% and 54% reduction in the power loss and the optimum volume of the 100 kJ SMES, respectively.

کلیدواژه‌ها [English]

  • Superconducting energy storage
  • Cost factor
  • Power loss
  • Gray wolf algorithm

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  • [1] C. Dugan, Electrical power system quality. The McGraw Hill Companies, 2000. Accessed: Dec. 31, 2023.
  • [2] Yazdani-Asrami, S. A. Gholamian*, M. Mirimani, J. Adabi Firuzjaie, “Numerical Modelling for AC Loss of the Second Generation HTS Tapes Under Alternating External Magnetic Fields Using the Finite Element Method,” Journal of Applied Electromagnetics., vol. 4, no. 3, 2016, 20.1001.1.26455153.1395.4.3.4.0, (in Persian)
  • [3] M. Seyyed Barzegar* , M. Khodsuz, “Magnetic and Electric Fields Minimization of Transmission Lines Using NSGA-II Algorithm Based on Multi-Objective Optimization” Journal of Applied Electromagnetics, vol. 7, no.2, 2020,  20.1001.1.26455153.1398.7.2.10.5, (in Persian)
  • [4] Bhardwaj et al., “Modeling and Measurements of Ramping Losses in HTS Coils for Pulsed Power Applications of SMES,” IEEE Trans. Appl. Supercond., vol. 34, no. 3, pp. 1–7, May 2024, doi: 10.1109/TASC.2024.3356427.
  • [5] R. Alizadeh Pahlavani , V. Zamani Faradonbeh “Optimal Pole-Shaping in Surface-Mounted PM Machines using Analytical Modeling: Cogging Torque and Flux Density Harmonics” Journal of Applied Electromagnetics, vol. 2, no. 3, 2015, 20.1001.1.26455153.1393.2.3.3.5, , (in Persian)
  • [6] Lu, R. Yan, Y. Yang, and X. Yang, “Supply Chain Specific Investments and Enterprise Performance of SMEs: A Resource Orchestration Perspective,” IEEE Trans. Eng. Manag., vol. 71, pp. 5487–5505, 2024, doi: 10.1109/TEM.2024.3362997.
  • [7] A. Fazljoo, A. A. Damaki Aliabadi *., “Design and test of a superconducting magnetic energy storage (SMES) coil,” I Scientific Journal of Applied Electromagnetics., vol. 11, no.1, 2016, 20.1001.1.26455153.1402.11.1.12.3, (in Persian)
  • [8] A. Borghi, M. Fabbri, and P. L. Ribani, “Design optimization of a microsuperconducting magnetic energy storage system,” IEEE Trans. Magn., vol. 35, no. 5, pp. 4275–4284, 1999, 10.1109/20.799077
  • [9] Higashikawa, T. Nakamura, T. Hoshino, and I. Muta, “Design of Bi-2223/Ag coil based on genetic algorithm and finite element method,” IEEE Trans. Appl. Supercond., vol. 15, no. 2, pp. 1895–1898, 2005, 10.1109/TASC.2005.849326
  • [10] Korpela, J. Lehtonen, and R. Mikkonen, “Optimization of HTS superconducting magnetic energy storage magnet volume,” Supercond. Sci. Technol., vol. 16, no. 8, p. 833, 2003, 10.1088/0953-2048/16/8/301
  • [11] Noguchi, H. Yamashita, and A. Ishiyama, “An optimal design method for SMES coils using HTS tapes,” IEEE Trans. Appl. Supercond., vol. 12, no. 1, pp. 1459–1462, 2002,  10.1109/TASC.2002.1018677
  • [12] wak et al., “The optimal design of 600 kJ SMES magnet based on stress and magnetic field analysis,” IEEE Trans. Appl. Supercond., vol. 18, no. 2, pp. 713–716, 2008, 10.1109/TASC.2008.922523
  • [13] -M. Rey et al., “Geometry optimization for SMES solenoids using HTS ribbons,” IEEE Trans. Appl. Supercond., vol. 21, no. 3, pp. 1670–1673, 2010, 10.1109/TASC.2010.2095402
  • [14] Trillaud and L. S. Cruz, “Conceptual Design of a 200-kJ 2G-HTS Solenoidal µ-SMES,” IEEE Trans. Appl. Supercond., vol. 24, no. 3, pp. 1–5, 2013, 10.1109/TASC.2013.2284478
  • [15] Hekmati and R. Hekmati, “Double pancake superconducting coil design for maximum magnetic energy storage in small مقیاس SMES systems,” Cryogenics, vol. 80, pp. 74–81, 2016, https://doi.org/10.1016/j.cryogenics.2016.09.009
  • [16] Li et al., “Stress reduction and storage capacity enhancement of the HTS-SMES using reinforcing overbanding structure,” IEEE Trans. Appl. Supercond., vol. 27, no. 4, pp. 1–5, 2017, 10.1109/TASC.2017.2652321
  • [17] Xu et al., “A study on the design and comparison of 1–100-MJ-class SMES magnet with different coil configurations,” IEEE Trans. Appl. Supercond., vol. 27, no. 5, pp. 1–9, 2017, 10.1109/TASC.2017.2707669
  • [18] Bhunia, S. Saha, and A. Chakrabarti, “Design optimization of superconducting magnetic energy storage coil,” Phys. C Supercond., vol. 500, pp. 25–32, 2014, https://doi.org/10.1016/j.physc.2014.02.019
  • [19] Morandi, B. Gholizad, and M. Fabbri, “Design and performance of a 1 MW-5 s high temperature superconductor magnetic energy storage system,” Supercond. Sci. Technol., vol. 29, no. 1, p. 015014, 2015, 10.1088/0953-2048/29/1/015014.
  • [20] Gómez, B. Pérez, P. Suárez, A. Álvarez, and B. Rivera, “Theoretical and experimental studies of SMES configurations for design optimization,” IEEE Trans. Appl. Supercond., vol. 31, no. 5, pp. 1–5, 2021, 10.1109/TASC.2021.3059609
  • [21] Wang, K. Ding, S. Du, and C. Zou, “Study on Electromagnetic Stress Optimization and its Resistant Structure in Toroidal HTS Magnet Applied in High-Energy Storage Density SMES,” IEEE Trans. Appl. Supercond., vol. 31, no. 8, pp. 1–5, 2021, 10.1109/TASC.2021.3107822
  • [22] Hernando, J. Munilla, L. García-Tabarés, and G. Pedraz, “Optimization of High Power SMES for Naval Applications,” IEEE Trans. Appl. Supercond., vol. 33, no. 5, pp. 1–5, 2023, 10.1109/TASC.2023.3250169
  • [23] Qiu et al., “Optimization Design of 30 MJ/5 MW LIQHYSMES Toroidal D-Shaped Magnet,” IEEE Trans. Appl. Supercond., 2024, 10.1109/TASC.2008.921968
  • [24] X Zhou, Y Tang, Sh Jing, Ch Zhang, Kang Gong, L Zhang,Y Li, “Cost Estimation Models of MJ Class HTS Superconducting Magnetic Energy Storage Magnets, IEEE Trans. Appl. Supercond, vol. 28,no.4, pp. 511–536, 2018, 1109/TASC.2018.2821363
  • [25] Li et al., “Engineering design of forced-flow cooling HTS

       [26]        cable for SMES system with high current capacity,” IEEE Trans. Appl. Supercond., 2023,  10.1109/TASC.2023.3346831

  • [27] Iwasa, “AC and other losses, in Case Studies in Superconducting Magnets: Design and Operational” New York, NY, USA: Springer, Vol:2, pp. 399–466ed, 2009.
  • [28] ‎ Mahapatra, M. Badi, S. Raj, “Implementation of PSO, it’s variants and Hybrid GWO-PSO for ‎improving Reactive Power Planning, ” Conference for Advancement in Technology, 2019,10.1109/GCAT47503.2019.8978348

 

دوره 12، شماره 2 - شماره پیاپی 29
پاییز و زمستان
آبان 1403
صفحه 63-72
  • تاریخ دریافت: 18 تیر 1403
  • تاریخ بازنگری: 19 شهریور 1403
  • تاریخ پذیرش: 01 آبان 1403
  • تاریخ انتشار: 16 آبان 1403