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Online Optimization to Suppress the Grid-Injected Power Deviation of Wind Farms with Battery-Hydrogen Hybrid Energy Storage Systems

Min Liu1, Qiliang Wu1, Zhixin Li2, Bo Zhao1, Leiqi Zhang1, Junhui Li2, Xingxu Zhu2,*

1 State Grid Zhejiang Electric Power Co., Ltd., Electric Power Research Institute, Hangzhou, 310014, China
2 Key Laboratory of Modern Power System Simulation Control and Green Power New Technology of the Ministry of Education, Northeast Electric Power University, Jilin, 132012, China

* Corresponding Author: Xingxu Zhu. Email: email

Energy Engineering 2025, 122(4), 1403-1424. https://doi.org/10.32604/ee.2025.060256

Abstract

To address the issue of coordinated control of multiple hydrogen and battery storage units to suppress the grid-injected power deviation of wind farms, an online optimization strategy for Battery-hydrogen hybrid energy storage systems based on measurement feedback is proposed. First, considering the high charge/discharge losses of hydrogen storage and the low energy density of battery storage, an operational optimization objective is established to enable adaptive energy adjustment in the Battery-hydrogen hybrid energy storage system. Next, an online optimization model minimizing the operational cost of the hybrid system is constructed to suppress grid-injected power deviations with satisfying the operational constraints of hydrogen storage and batteries. Finally, utilizing the online measurement of the energy states of hydrogen storage and batteries, an online optimization strategy based on measurement feedback is designed. Case study results show: before and after smoothing the fluctuations in wind power, the time when the power exceeded the upper and lower limits of the grid-injected power accounted for 24.1% and 1.45% of the total time, respectively, the proposed strategy can effectively keep the grid-injected power deviations of wind farms within the allowable range. Hydrogen storage and batteries respectively undertake long-term and short-term charge/discharge tasks, effectively reducing charge/discharge losses of the Battery-hydrogen hybrid energy storage systems and improving its operational efficiency.

Keywords

Battery-hydrogen hybrid energy storage systems; grid-injected power deviations; measurement feedback; online optimization; energy states

Cite This Article

APA Style
Liu, M., Wu, Q., Li, Z., Zhao, B., Zhang, L. et al. (2025). Online Optimization to Suppress the Grid-Injected Power Deviation of Wind Farms with Battery-Hydrogen Hybrid Energy Storage Systems. Energy Engineering, 122(4), 1403–1424. https://doi.org/10.32604/ee.2025.060256
Vancouver Style
Liu M, Wu Q, Li Z, Zhao B, Zhang L, Li J, et al. Online Optimization to Suppress the Grid-Injected Power Deviation of Wind Farms with Battery-Hydrogen Hybrid Energy Storage Systems. Energ Eng. 2025;122(4):1403–1424. https://doi.org/10.32604/ee.2025.060256
IEEE Style
M. Liu et al., “Online Optimization to Suppress the Grid-Injected Power Deviation of Wind Farms with Battery-Hydrogen Hybrid Energy Storage Systems,” Energ. Eng., vol. 122, no. 4, pp. 1403–1424, 2025. https://doi.org/10.32604/ee.2025.060256



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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