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volume 13 pages 40386-40398

Research on dynamic optimization control strategy with the synergistic participation of wind power and energy storage system for power grid

Xi-Lin Zhao 1
Ze-Lin Gui 1
Chu-Feng Gong 2
Xiao-Yu Ye 1
Publication typeJournal Article
Publication date2025-02-28
scimago Q1
wos Q2
SJR0.849
CiteScore9.0
Impact factor3.6
ISSN21693536
Abstract
The uncertainty of the sustainable energy such as wind power has serious adverse impact on the stability of power grid with the penetration of it increasing. The utilization of the sustainable energy in automatic generation control of power grid was an effective method to solve the problem. Therefore, an optimal strategy of frequency regulation with the participation of wind power and battery energy storage system was proposed in this paper. Firstly, the automatic generation control (AGC) model of multi-area interconnected power grid with high penetration of wind power was constructed. Fast frequency response optimized power point tracking (FFR-OPPT) method was designed aiming at the participation of wind turbine generator (WTG) in AGC. Due to the different positions of the WTG and the influence of its wake effect, the bearable wind speeds were different. According to that wind speed, the WTGs were classified. Secondly, considering that WTG controlled by FFR-OPPT was constrained by the wind speed, a comprehensive control method of battery energy storage system (BESS) was applied to assist WTG for the frequency regulation. The change of BESS participation states was determined not only by the wind speed but also by its state of charge (SOC). Considering the complexity of the control system and the requirement of frequency regulation in which WTG and BESS participate, the model predictive control (MPC) controller was used for dynamic optimal control of the system. The simulation results show that the control method proposed in this paper was feasible and efficient.
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GOST Copy
Xi-Lin Zhao et al. Research on dynamic optimization control strategy with the synergistic participation of wind power and energy storage system for power grid // IEEE Access. 2025. Vol. 13. pp. 40386-40398.
GOST all authors (up to 50) Copy
Xi-Lin Zhao, Gui Z., Gong C., Ye X. Research on dynamic optimization control strategy with the synergistic participation of wind power and energy storage system for power grid // IEEE Access. 2025. Vol. 13. pp. 40386-40398.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1109/access.2025.3546652
UR - https://ieeexplore.ieee.org/document/10908213/
TI - Research on dynamic optimization control strategy with the synergistic participation of wind power and energy storage system for power grid
T2 - IEEE Access
AU - Xi-Lin Zhao
AU - Gui, Ze-Lin
AU - Gong, Chu-Feng
AU - Ye, Xiao-Yu
PY - 2025
DA - 2025/02/28
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 40386-40398
VL - 13
SN - 2169-3536
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Xi-Lin Zhao,
author = {Xi-Lin Zhao and Ze-Lin Gui and Chu-Feng Gong and Xiao-Yu Ye},
title = {Research on dynamic optimization control strategy with the synergistic participation of wind power and energy storage system for power grid},
journal = {IEEE Access},
year = {2025},
volume = {13},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {feb},
url = {https://ieeexplore.ieee.org/document/10908213/},
pages = {40386--40398},
doi = {10.1109/access.2025.3546652}
}