Role of Charging/Discharging utilize Batteries to Intermittent Wind-Solar Energy Sources
Keywords:
Wind Energy, Solar Energy, Hybrid Renewable Energy System, Battery Energy Storage System (BESS), Charging and Discharging ControlAbstract
The intermittent nature of renewable energy sources such as wind and solar presents significant challenges in maintaining a stable and reliable power supply. This study explores the critical role of battery energy storage systems (BESS) in managing the charging and discharging processes to effectively utilize fluctuating wind–solar energy. Batteries act as a buffer by storing excess energy generated during peak production periods and supplying power during low-generation or high-demand conditions, thereby ensuring continuity and stability of the energy system.
The paper discusses various charging and discharging strategies, including state-of-charge (SoC) management, depth-of-discharge (DoD) control, and intelligent energy management systems, which optimize battery performance and lifespan. Additionally, advanced control techniques, such as predictive algorithms and machine learning-based optimization, are highlighted for their ability to enhance energy efficiency, reduce power losses, and improve grid integration.
The integration of batteries with hybrid wind–solar systems significantly enhances system reliability, power quality, and load balancing, making it suitable for both grid-connected and off-grid applications. Despite challenges such as battery degradation, cost, and thermal management, ongoing advancements in battery technologies and control strategies are expected to further improve system performance. This study concludes that efficient charging and discharging mechanisms are essential for maximizing the utilization of renewable energy and enabling a sustainable and resilient energy infrastructure.
References
M. M. Gulzar, A. Iqbal, D. Sibtain, and M. Khalid, “An innovative converterless solar PV control strategy for a grid connected hybrid PV/Wind/Fuel-Cell system coupled with battery energy storage,” IEEE Access, vol. 11, pp. 23245–23259, 2023.
S. Bhattacharyya, S. Puchalapalli, and B. Singh, “Operation of grid-connected PV-battery-wind driven DFIG based system,” IEEE Transactions on Industry Applications, vol. 58, no. 5, pp. 6448–6458, 2022.
N. K. Kulkarni and M. Khedkar, “Determining potential passive islanding detection indicators for single-point single inverter, single-point multi-inverter and multi-point multi-inverter scenarios,” CSEE Journal of Power and Energy Systems, vol. 8, no. 3, pp. 696–709, 2022.
M. Li, M. Yang, Y. Yu, and W. J. Lee, “A wind speed correction method based on modified hidden Markov model for enhancing wind power forecast,” IEEE Transactions on Industry Applications, vol. 58, no. 1, pp. 656–666, 2022.
Z. Tang, Y. Yang, and F. Blaabjerg, “Power electronics: The enabling technology for renewable energy integration,” CSEE Journal of Power and Energy Systems, vol. 8, no. 1, pp. 39–52, 2022.
P. Roy, J. He, T. Zhao, and Y. V. Singh, “Recent advances of wind-solar hybrid renewable energy systems for power generation: A review,” IEEE Open Journal of the Industrial Electronics Society, vol. 3, no. 4, pp. 81–104, 2022.
G. An, Z. Jiang, X. Cao, Y. Liang, Y. Zhao, Z. Li, W. Dong, and H. Sun, “Short-term wind power prediction based on particle swarm optimization-extreme learning machine model combined with Adaboost algorithm,” IEEE Access, vol. 9, pp. 94040–94052, 2021.
R. B. Bollipo, S. Mikkili, and P. K. Bonthagorla, “Hybrid, optimal, intelligent and classical PV MPPT techniques: A review,” CSEE Journal of Power and Energy Systems, vol. 7, no. 1, pp. 9–33, 2021.
T. Hong, D. Zhao, and Y. Zhang, “A relaxed PV bus model in linear power flow,” IEEE Transactions on Power Delivery, vol. 36, no. 2, pp. 1249–1252, 2021.
S. Xu, R. Shao, B. Cao, and L. Chang, “Single-phase grid-connected PV system with golden section search-based MPPT algorithm,” Chinese Journal of Electrical Engineering, vol. 7, no. 4, pp. 25–36, 2021.
J. Pahasa and I. Ngamroo, “Two-stage optimization based on SOC control of SMES installed in hybrid wind/PV system for stabilizing voltage and power fluctuations,” IEEE Transactions on Applied Superconductivity, vol. 31, no. 8, 2021.
L. E. Mathew and A. K. Panchal, “A complete numerical investigation on implicit and explicit PV single-diode-models using I- and V-approaches,” IEEE Journal of Photovoltaics, vol. 11, no. 3, pp. 827–837, 2021.
A.
Zahedmanesh, K. M. Muttaqi, and D. Sutanto, “A sequential decision-making process for optimal technoeconomic operation of a grid-connected electrical traction substation integrated with solar PV and BESS,” IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1353–1364, 2021.
Y. Jin, D. Wu, P. Ju, C. Rehtanz, F. Wu, and X. Pan, “Modeling of wind speeds inside a wind farm with application to wind farm aggregate modeling considering
LVRT characteristic,” IEEE Transactions on Energy Conversion, vol. 35, no. 1, 2020.
Z. Kan, Z. Li, S. Li, T. Zhang, D. Zhu, M. Yi, and Y. Huang, “Research on grid-connected/islanded control strategy of PV and battery storage systems as emergency power supply of pumping storage power station,” in Proc. IEEE 3rd Int. Conf. Electronics Technology (ICET), pp. 457–462, 2020.
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