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Microsystems, Electronics and Acoustics
ISSN 2523-4447 · e‑ISSN 2523-4455 Open Access · CC BY-SA 4.0
Vol. 28 · Issue 3 · 2023 Dec 27, 2023 Electronic Systems and Signals

The Impact of Wind Power and Load Power Fluctuations on Energy Storage Sizing

MY
Mykhailo Kostiantynovych Yaremenko Corresponding Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» Ukraine
KK
Kateryna Serhiivna Klen Національний технічний університет України «Київський політехнічний інститут імені Ігоря Сікорського» Ukraine
Pages290932.1-290932.9 PublishedDec 27, 2023
PDF (Ukrainian)
VOL 28 · ISS 3 · 2023 To the 125th Anniversary of Igor Sikorsky Kyiv Polytechnic Institute View issue

Abstract

The study presents a method of taking into account the impact of wind power and load power fluctuations on the energy storage sizing, comprised of batteries of identical capacity. To account the impact, two methods of calculating the difference between wind power generation and load consumption were presented over some time interval: 1 st and 2 nd order difference methods. Each of the methods can be parameterized and non-parameterized method with and without taking into account parameters respectively, where the parameters are: discharge current, required discharge duration, depth of discharge, battery capacity, Peukert’s constant, discharge time from 100% capacity, ambient temperature and wind power prediction error. Using the parameterized method compared allows to refine the value of the number of batteries. Using the 2nd order difference method compared to the 1st order difference method can significantly reduce the required number of batteries.

Keywords

#energy storage system #battery #optimal sizing #wind #load #predictive energy balancing

References

  1. Enerdata, "World Energy & Climate Statistics – Yearbook 2023," 2023. [Online]. Available: https://yearbook.enerdata.net/total-energy/world-consumption-statistics.html . [Accessed 02 10 2023]
  2. V. S. Biletskyi, V. M. Orlovskyi, B. I. Dmytrenko and A. M. Pokhylko, Osnovy naftohazovoi spravy (Basics About the Oil and Gas Industry), Kyiv: PoltNTU Khalikov R. Kh., 2017, p. 312
  3. H. Ritchie, M. Roser and P. Rosado, "Energy," 2022. [Online]. Available: https://ourworldindata.org/electricity-mix . [Accessed 02 10 2023]
  4. "BESS 101: Revolutionizing the Energy Landscape with Battery Energy Storage Systems," 2023. [Online]. Available: https://www.acebattery.com/blogs/what-is-engery-storage-system . [Accessed 03 11 2023]
  5. H. Fathima and K. Palanisamy, "Optimized Sizing, Selection, and Economic Analysis of Battery Energy Storage for Grid-Connected Wind-PV Hybrid System," Model. Simul. Eng., vol. 2015, pp. 1-16, 2015. DOI: https://doi.org/10.1155/2015/713530
  6. A. L. Bukar, C. W. Tan and K. Y. Lau, "Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm," Sol. Energy, vol. 188, p. 685–696, August 2019. DOI: https://doi.org/10.1016/j.solener.2019.06.050
  7. M. K. Yaremenko, K. S. Klen and V. Y. Zhuikov, "Influence of Wind Speed Forecasting Error on the Choice of the Number of Balancing System Batteries," Microsystems, Electron. Acoust., vol. 26, no. 3, December 2021. DOI: https;//doi.org/10.20535/2523-4455.mea.237245
  8. K. S. Klen, M. K. Yaremenko and V. Y. Zhuikov, "The influence of the wind speed prediction error on the size of the storage controlled operation zone in the system with the wind generator," Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine, vol. 57, pp. 35-41, 2020. DOI: https://doi.org/10.15407/publishing2020.57.035
  9. SmartGauge Electronics, "Peukert's Equation," 2008. [Online]. Available: http://www.smartgauge.co.uk/peukert2.html . [Accessed 31 10 2023]
  10. R. Mouangue, M. Kazet, A. Kuitche and J. M. Ndjaka, "Influence of the Determination Methods of K and C Parameters on the Ability of Weibull Distribution to Suitably Estimate Wind Potential and Electric Energy," International Journal of Renewable Energy Development, vol. 3, no. 2, pp. 145-154, 2014. DOI: https://doi.org/10.14710/ijred.3.2.145-154
  11. J. Wang, J. Hu and K. Ma, "Wind speed probability distribution estimation and wind energy assessment," Renewable and Sustainable Energy Reviews, no. 60, pp. 881-899, July 2016. DOI: https;//doi.org/10.1016/j.rser.2016.01.057
  12. Z. H. Hulio, W. Jiang and S. Rehman, "Technical and economic assessment of wind power potential of Nooriabad, Pakistan," Energ Sustain Soc, vol. 7, no. 35, 2017. DOI: https://doi.org/10.1186/s13705-017-0137-9
  13. S.-H. Cha, "Comprehensive Survey on Distance/Similarity Measures between Probability Density Functions," INTERNATIONAL JOURNAL OF MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES, vol. 1, no. 4, 2007. URL: http://www.fisica.edu.uy/~cris/teaching/Cha_pdf_distances_2007.pdf
  14. R. L. Burden and J. D. Faires, Numerical Analysis, 7 ed., Brooks/Cole, 2000. ISBN: 978-0-534-38216-2 URL: https://archive.org/details/numericalanalysi0000burd
  15. Asian Development Bank, "Handbook On Battery Energy Storage System," 12 2018. [Online]. Available: https://www.adb.org/sites/default/files/publication/479891/handbook-battery-energy-storage-system.pdf . [Accessed 31 10 2023]
  16. Ministry of Industry and Trade, General Directorate of Energy, "Final report of wind measurement – GIZ/MoIT Wind Energy Project," 2013. [Online]. Available: http://gizenergy.org.vn/media/app/media/Publications/Windata/Annual Report/Xuan Hoa - Phu Yen/GIZ_Report Xuan Hoa-Year 2013 - EN.pdf
  17. M. G. de Klerk and W. C. Venter, "Power calculation accuracy as a function of wind data resolution," Journal of Energy in Southern Africa, vol. 28, no. 2, pp. 71-84, 2017. DOI: https;//doi.org/10.17159/2413-3051/2017/v28i2a1656
  18. C. I. Protogeropoulos, Autonomous wind / solar power systems with battery storage, Cardiff, Wales: University of Wales College, 1992. URL: https://www.osti.gov/etdeweb/biblio/557283
  19. A. Dai and C. Deser, "Diurnal and semidiurnal variations in global surface wind and divergence fields," Geophys. Res., vol. 104, no. D24, p. 31109–31125, 1999. DOI: https;//doi.org/10.1029/1999JD900927
  20. "Specifications of wind turbine VE-2," [Online]. Available: http://altenergo.biz/wp-content/uploads/2016/07/VE-2.pdf
  21. "Fill gaps using autoregressive modeling - MATLAB fillgaps," [Online]. Available: https://www.mathworks.com/help/signal/ref/fillgaps.html
  22. M. K. Yaremenko and K. S. Klen, "The Effect of Wind Speed Change on the Payback Period of Batteries," Kyiv, Ukraine, 2022. DOI: https;//doi.org/10.1109/ELNANO54667.2022.9927066
  23. G. Li, D. Wang, X. Liu and P. Zhao, "Research on wind turbine power performance based on the operation Data," 2019. DOI: https://doi.org/10.1051/e3sconf/201913602002
  24. K. A. Abed and A. A. El-Mallah, "Capacity factor of wind turbines," Energy, vol. 22, no. 5, pp. 487-491, 1997. DOI: https;//doi.org/10.1016/S0360-5442(96)00146-6
  25. M. Milligan, K. Porter, E. DeMeo, P. Denholm, H. Holttinen, B. Kirby, N. Miller, A. Mills, M. O’Malley, M. Schuerger and L. Soder, "Wind Power Myths Debunked," IEEE Power and Energy, vol. 7, no. 6, pp. 89-99, 2009. DOI: https;//doi.org/10.1109/MPE.2009.934268
  26. C. J. Willmott and K. Matsuura, "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance," Climate Research, vol. 30, no. 1, pp. 79-82, 2005. DOI: https://doi.org/10.3354/cr030079
  27. G. Hebrail and A. Berard, "Individual household electric power consumption," UCI Machine Learning Repository, 2012. DOI: https://doi.org/10.24432/C58K54
  28. Blue Box Batteries Ltd, "HAZE HZB12-180FA Battery," [Online]. Available: https://www.blueboxbatteries.co.uk/brands/haze/hzb-front-access/hzb12-180fa-battery . [Accessed 31 10 2023]
  29. E. Langford, «Quartiles in Elementary Statistics,» Journal of Statistics Education, vol. 14, no. 3, 2006. DOI: https://doi.org/10.1080/10691898.2006.11910589
  30. The MathWorks, Inc., "Percentiles of data set," [Online]. Available: https://www.mathworks.com/help/matlab/ref/prctile.html . [Accessed 31 10 2023]
  31. A. Oudalov, R. Cherkaoui and A. Béguin, "Sizing and Optimal Operation of Battery Energy Storage System for Peak Shaving Application," 2007. DOI: https://doi.org/10.1109/PCT.2007.4538388
  32. A. Ashabi, M. M. Peiravi, P. Nikpendar, S. N. Salehi and F. Jaryani, "Optimal Sizing of Battery Energy Storage System in Commercial Buildings Utilizing Techno-economic Analysis," International Journal of Engineering, Transactions B: Applications, vol. 35, no. 08, pp. 1662-1673, 2022. DOI: https://doi.org/10.5829/ije.2022.35.08b.22
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