HYBRID ENERGY STORAGE SYSTEM DESIGN

Authors

  • V. M. Sineglazov National Aviation University, Kyiv
  • I. O. Yudenko National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.64.14858

Keywords:

Hybrid energy storage system, super capacitors, flywheels, lithium-ion batteries, fuel cells, blast algorithm, hybrid neural networks

Abstract

The necessity of hybrid energy storage system design is shown. It is considered the main components of hybrid energy storage systems and their features. It is shown that these systems are characterized by a beneficial coupling of two or more energy storage technologies with supplementary operating characteristics. The hybrid energy storage systems may include super capacitors, flywheels, superconducting magnetic energy storage, lithium-ion batteries, fuel cells. It is analyzed the use of every possible component as a part of the hybrid energy storage system in different operating conditions. It is considered a sizing methodology optimization for hybrid energy storage systems based on blast algorithm and hybrid neural networks.

Author Biographies

V. M. Sineglazov, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Faculty of Air Navigation Electronics and Telecommunications

Doctor of Engineering Science. Professor. Head of the Department

orcid.org/0000-0002-3297-9060

I. O. Yudenko, National Aviation University, Kyiv

Aviation Computer-Integrated Complexes Department, Faculty of Air Navigation Electronics and Telecommunications

Bachelor

References

Wenlong Jing, Chean Hung Lai, Shung Hui Wallace Wong, and Mou Ling Dennis Wong, "Battery-supercapacitor hybrid energy storagesystem in standalone DC microgrids: areview," IET Renew. Power Gener., 2017, vol. 11 Iss. 4, pp. 461–469. https://doi.org/10.1049/iet-rpg.2016.0500

H. Chen, T. N. Cong, W. Yang, et al., "Progress in electrical energy storage system: a critical review," Prog. Nat. Sci., 2009, 19, (3), pp. 291–312. https://doi.org/10.1016/j.pnsc.2008.07.014

Silvio Mariano, Maria do Rosario Calado, Joäo Faria, and José Pombo, "Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System," Energies 2019, 12, 902, pp. 1–24. https://doi.org/10.3390/en12050902

Otto Pesonen & Tuomas Alakunnas, Energy Storage, Publications of Lapland UAS Publication series B: Research reports and Compilations Publication series 14/2017, 63 p.

John R. Miller. "Capacitors for Power Grid Storage," Trans-Atlantic Workshop on Storage Technologies for Power Grids Washington DC Convention Center, October 19-20, 2010.

Gurasis Singh and Prabhdeep Kaur, "Mine Blast Algorithm," International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 6, IV April 2018, pp. 519–525. https://doi.org/10.22214/ijraset.2018.4091

Ali Sadollah, Ardeshir Bahreininejad, Hadi Eskandar, and Mohd Hamdi, "Mine blast algorithm for optimization of truss structures with discrete variables," Computers and Structures, 102–103 (2012) 49–63. https://doi.org/10.1016/j.compstruc.2012.03.013

C. Spataru, Y. C. Kok, and M. Barrett, "Physical energy storage employed worldwide," Energy Procedia, 2014, 62, pp. 452–461. https://doi.org/10.1016/j.egypro.2014.12.407

A. Bifet, G. Holmes, B. Pfahringer, R. Kirkby, and R. Gavaldá, "New ensemble methods for evolving data streams," in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data mining, 2009, pp. 139–148. https://doi.org/10.1145/1557019.1557041

Ye. Bodyanskiy and O. Rudenko, Artificial neural networks: architectures, training, applications. Kharkov: Teletech, 2004, 369 p.

V. Golovko, Neural networks: training, organization and application. Moscow: IPRZhR, 2001, 256 p. (Series “Neurocomputers and their application,” Book 4).

Gonzalo Martınez-Muñoz, Daniel Hernandez-Lobato, and Alberto Suárez. "An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation." IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, February 2009, pp. 245–259. https://doi.org/10.1109/TPAMI.2008.78

Gonzalo Martınez-Muñoz, and Alberto Suárez. "Aggregation Ordering in Bagging," in Proc. of the IASTED International Conference on Artificial Intelligence and Applications. Acta Press, 2004, pp. 258–263.

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POWER MACHINERY