Paper
1 August 2022 Adaptive control strategy for primary frequency modulation of hybrid energy storage considering state of charge recovery
HongWei Liu, Jin Liu, LiPing Zhao, YuFu Li
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122572G (2022) https://doi.org/10.1117/12.2640336
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
When high-penetration new energy is connected to the grid, it has a huge impact on the frequency stability of the system. In this paper, an adaptive control strategy for hybrid energy storage based on state-of-charge recovery is designed. Firstly , the operation timing and range of each kind of energy storage is determined according to the different frequency regulation dead band of the two kinds of energy storage and their respective SOC ; Secondly , energy storage frequency adjustment is divided into frequency modulation period and SOC recovery period according to whether the frequency deviation is greater than the frequency modulation dead band . During the frequency modulation period , the action depth of virtual droop and virtual positive/negative inertia is determined by SOC and frequency deviation ; In the period of SOC recovery , a self recovery method of SOC is proposed based on the grid limit coefficient determined by frequency deviation and the energy storage demand coefficient determined by SOC . Finally, by establishing a frequency modulation model to conduct simulation experiments on different types of interference, it is verified that the proposed strategy can effectively maintain the stability of the system frequency.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
HongWei Liu, Jin Liu, LiPing Zhao, and YuFu Li "Adaptive control strategy for primary frequency modulation of hybrid energy storage considering state of charge recovery", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122572G (1 August 2022); https://doi.org/10.1117/12.2640336
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KEYWORDS
Frequency modulation

Adaptive control

Control systems

Fuzzy logic

Systems modeling

Thermal modeling

Modulation

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