Modelling of supercapacitor by using parameter estimation method for energy storage system

Main Article Content

Gökhan Yüksek
Yusuf Muratoğlu
Alkan Alkaya

Abstract

Researches to increase efficiency in renewable energy systems are increasing the interest in high power density (HPD) energy storage units day by day. HPD units form a hybrid energy storage system (HESS) when used together with a high energy density (HED) energy storage system. Supercapacitors are the most frequently used storage units among HPD with their features such as low cost, low self-discharge rate and high lifecycle. When systems need high power, supercapacitors which is used to support HED units to ensure that the transmitted power’s stability, efficiency, and high quality. The use of supercapacitors in HESS with the exact timing has a significant impact on its performance. For this reason, supercapacitors must be modeled correctly and well-integrated with the system. In this study, parameter estimation was made by using the data obtained from the simulation study and the supercapacitor was modeled. The supercapacitor model has been tested for charging and discharging at different currents and successful results have been obtained.

Article Details

How to Cite
Yüksek, G., Muratoğlu, Y., & Alkaya, A. (2022). Modelling of supercapacitor by using parameter estimation method for energy storage system. Advanced Engineering Science, 2, 67–73. Retrieved from https://publish.mersin.edu.tr/index.php/ades/article/view/98
Section
Articles

References

Aneke, M., & Wang, M. (2016). Energy storage technologies and real life applications–A state of the art review. Applied Energy, 179, 350-377.

Nair, U. R., & Costa-Castelló, R. (2020). A model predictive control-based energy management scheme for hybrid storage system in islanded microgrids. IEEE access, 8, 97809-97822.

Blaabjerg, F., Teodorescu, R., Liserre, M., & Timbus, A. V. (2006). Overview of control and grid synchronization for distributed power generation systems. IEEE Transactions on industrial electronics, 53(5), 1398-1409.

Chong, L. W., Wong, Y. W., Rajkumar, R. K., Rajkumar, R. K., & Isa, D. (2016). Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems, Renewable and Sustainable Energy Reviews, Elsevier, 66(C), 174-189.

Hemmati, R., & Saboori, H. (2016). Emergence of hybrid energy storage systems in renewable energy and transport applications–A review. Renewable and Sustainable Energy Reviews, 65, 11-23.

Etxeberria, A., Vechiu, I., Camblong, H., & Vinassa, J. M. (2010, October). Hybrid energy storage systems for renewable energy sources integration in microgrids: A review. In 2010 Conference Proceedings IPEC (pp. 532-537). IEEE.

Zimmermann, T., Keil, P., Hofmann, M., Horsche, M. F., Pichlmaier, S., & Jossen, A. (2016). Review of system topologies for hybrid electrical energy storage systems. Journal of Energy Storage, 8, 78-90.

Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009). Progress in electrical energy storage system: A critical review. Progress in natural science, 19(3), 291-312.

Stippich, A., Van Der Broeck, C. H., Sewergin, A., Wienhausen, A. H., Neubert, M., Schülting, P., ... & De Doncker, R. W. (2017). Key components of modular propulsion systems for next generation electric vehicles. CPSS Transactions on Power Electronics and Applications, 2(4), 249-258.

Yang, H. (2017). Analysis of supercapacitor charge redistribution through constant power experiments. In 2017 IEEE Power & Energy Society General Meeting (pp. 1-5). IEEE.

Chatzivasileiadi, A., Ampatzi, E., & Knight, I. (2013). Characteristics of electrical energy storage technologies and their applications in buildings. Renewable and Sustainable Energy Reviews, 25, 814-830.

Zhao, H., Wu, Q., Hu, S., Xu, H., & Rasmussen, C. N. (2015). Review of energy storage system for wind power integration support. Applied energy, 137, 545-553.

Nikkhoo, M., Farjah, E., & Ghanbari, T. (2016). A simple method for parameters identification of three branches model of supercapacitors. In 2016 24th Iranian Conference on Electrical Engineering (ICEE) (pp. 1586-1590). IEEE.

Martynyuk, V., & Ortigueira, M. (2015). Fractional model of an electrochemical capacitor. Signal Processing, 107, 355-360.

Xu, J., Mi, C. C., Cao, B., & Cao, J. (2013). A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model. Journal of power sources, 233, 277-284.

Soualhi, A., Sari, A., Razik, H., Venet, P., Clerc, G., German, R., ... & Vinassa, J. M. (2013, November). Supercapacitors ageing prediction by neural networks. In IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society (pp. 6812-6818). IEEE.

Hu, X., Li, S. E., & Yang, Y. (2015). Advanced machine learning approach for lithium-ion battery state estimation in electric vehicles. IEEE Transactions on Transportation electrification, 2(2), 140-149.

Hu, X., Li, S., & Peng, H. (2012). A comparative study of equivalent circuit models for Li-ion batteries. Journal of Power Sources, 198, 359-367.

Kim, S. H., Choi, W., Lee, K. B., & Choi, S. (2011). Advanced dynamic simulation of supercapacitors considering parameter variation and self-discharge. IEEE Transactions on Power Electronics, 26(11), 3377-3385.

Du, L. (2009, December). Study on supercapacitor equivalent circuit model for power electronics applications. In 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS) (Vol. 2, pp. 51-54). IEEE.

Ab Rahim, A. H., Ramli, N., Nordin, A. N., Othman, R., Asrar, W., & Sulaeman, E. (2017, November). Classical equivalent circuit characterization for a double-layer capacitor. In 2017 IEEE 4th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA) (pp. 1-6). IEEE.

Nelms, R. M., Cahela, D. R., & Tatarchuk, B. J. (2001). Using a Debye polarization cell to predict double-layer capacitor performance. IEEE Transactions on Industry Applications, 37(1), 4-9.

Zhang, L., Hu, X., Wang, Z., Sun, F., & Dorrell, D. G. (2018). A review of supercapacitor modeling, estimation, and applications: A control/management perspective. Renewable and Sustainable Energy Reviews, 81, 1868-1878.

Zou, C., Zhang, L., Hu, X., Wang, Z., Wik, T., & Pecht, M. (2018). A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors. Journal of Power Sources, 390, 286–296.

Yang, H. (2018, March). Impact of charge redistribution on delivered energy of supercapacitors with constant power loads. In 2018 IEEE Applied Power Electronics Conference and Exposition (APEC) (pp. 2686-2690). IEEE.

Szewczyk, A., Sikula, J., Sedlakova, V., Majzner, J., Sedlak, P., & Kuparowitz, T. (2016). Voltage dependence of supercapacitor capacitance. Metrology and Measurement Systems, 23(3), 403-411

Yüksek, G., Muratoğlu, Y., & Alkaya, A. (2021). Modelling of supercapacitor by using parameter estimation method for energy storage system. Advanced Engineering Days (AED), 1, 29-31.