Abstract
Ushbu maqolada akkumulyatorli elektr energiya saqlash tizimlarining (AEST) zamonaviy nazariy asoslari, intellektual boshqaruv tizimlari bilan integratsiyasi hamda amaliy yechimlari batafsil tahlil qilingan. Sun’iy intellekt, algoritmik o‘rganish va raqamli model yaratish texnologiyalari asosida (akkumulyatorli elektr energiya saqlash tizimlari) AEST’larning ishlash samaradorligini oshirish yo‘llari ko‘rib chiqilgan. Shuningdek, O‘zbekiston energetika tizimi sharoitida bunday tizimlarni joriy etish istiqbollari yoritilgan.
References
Exploitation of Battery Energy Storage in Load Frequency Control ‑ A Literature Survey (A. Zurfi, J. Zhang) — American Journal of Engineering and Applied Sciences, 2016.
A Novel Modular, Reconfigurable Battery Energy Storage System: Design, Control, and Experimentation (A. Farakhor, D. Wu, Y. Wang, H. Fang) — 2023 (arXiv).
Mirzayev, A. O‘zbekiston energetika tizimida qayta tiklanuvchi manbalarni integratsiya qilishning zamonaviy yondashuvlari. Energetika va avtomatika jurnali, 2024.
Khan, M.J., Integration of AI-based energy storage in smart grids. IEEE Transactions on Power Systems, 2022.
Javadi M., Gong Y. and Chung C.Y. Frequency Stability Constrained BESS Sizing Model for Mi-crogrids // IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 2866-2878, March 2024, doi: 10.1109/TPWRS.2023.3284854.
“Experience in implementing modern energy storage systems in Uzbekistan” ResearchGate/mahalliy mualliflar (2024–2025)